Australia’s superannuation funds have faced their first test of the financial year, with a major market selloff in October likely to put a dent in account balances. According to preliminary estimates from SuperRatings, over the period 28 September to 11 October, a typical balanced option account with a $100,000 balance will have lost $2,700. For members with pure Australian share exposure, this amount rises to $4,800.

Impact of fall in share price index over the period 28 September to 11 October 2018

Source: SuperRatings, FE

October’s market jitters come on the back of lacklustre returns in the previous month, which saw super fund performance flat to slightly negative. According to SuperRatings, the median balanced option returned -0.1% in September as Australian shares came under pressure. However, while super funds may have taken a hit through the month, the data shows that superannuation has held up well over the past year, with the median balanced option delivering 9.7%.

Interim results only. Median Balanced Option refers to ‘Balanced’ options with exposure to growth style assets of between 60% and 76%. Approximately 60% to 70% of Australians in our major funds are invested in their fund’s default investment option, which in most cases is the balanced investment option. Returns are net of investment fees, tax and implicit asset-based administration fees

“The market pullback is another timely reminder to members that good times should not be taken for granted,” said SuperRatings Executive Director Kirby Rappell. “We do not believe that recent selling will translate into a bear market for shares, but it certainly presents a clear message to super funds and other investment managers to be wary of holding too much risk.”

“These sort of market moves will inevitably impact superannuation account balances in the short term. However, over longer periods, as well as over the past 12 months, super returns are holding up well. The challenge for super funds in this environment will be to maintain discipline and stick to their long-term investment strategy.”

When there is a market drop, the balance of your superannuation can fall. However, it isn’t expected to affect most members directly as they cannot access their super. However, this is more challenging for those members nearing or in retirement. For most members, it is important to keep a long term view as volatility is unavoidable. Therefore, timing markets is a fraught exercise and one to be extremely cautious of.

Growth in $100,000 invested for 10 years to 30 September 2018

Select index

SR50 Balanced (60-76) Index
SR50 Growth (77-90) Index
SR50 Australian Shares Index
SR50 International Shares Index
SR50 Cash Index

Source: SuperRatings

Interim results only

Source: SuperRatings

Interim results

When considered over the longer term, the recent selling will not significantly diminish the stellar performance achieved by super funds over recent years. An investment of $100,000 in the median balanced fund 10 years ago would now be worth around $193,751 as at the end of September 2018. In the best performing balanced fund over that period, the same $100,000 investment would have doubled in value to $213,156.

Best and worst performing balanced options to 30 September 2018

Source: SuperRatings

Interim results

A comparison of balanced option returns shows that CareSuper remains ahead of the pack with an annual return of 7.6% over the past decade, followed closely by Equip MyFuture and HOSTPLUS. While the global financial crisis, continues to cast a shadow over long-term returns, Australia’s top performing funds have nevertheless delivered some impressive results.

Source: SuperRatings

Source: SuperRatings

*Interim results

# IOOF Employer Super Core – IOOF MultiMix Balanced Growth Trust

Release ends

Warnings: Past performance is not a reliable indicator of future performance. Any express or implied rating or advice presented in this document is limited to “General Advice” (as defined in the Corporations Act 2001(Cth)) and based solely on consideration of the merits of the superannuation or pension financial product(s) alone, without taking into account the objectives, financial situation or particular needs (‘financial circumstances’) of any particular person. Before making an investment decision based on the rating(s) or advice, the reader must consider whether it is personally appropriate in light of his or her financial circumstances, or should seek independent financial advice on its appropriateness. If SuperRatings advice relates to the acquisition or possible acquisition of particular financial product(s), the reader should obtain and consider the Product Disclosure Statement for each superannuation or pension financial product before making any decision about whether to acquire a financial product. SuperRatings research process relies upon the participation of the superannuation fund or product issuer(s). Should the superannuation fund or product issuer(s) no longer be an active participant in SuperRatings research process, SuperRatings reserves the right to withdraw the rating and document at any time and discontinue future coverage of the superannuation and pension financial product(s). Copyright © 2018 SuperRatings Pty Ltd (ABN 95 100 192 283 AFSL No. 311880 (SuperRatings)). This media release is subject to the copyright of SuperRatings. Except for the temporary copy held in a computer’s cache and a single permanent copy for your personal reference or other than as permitted under the Copyright Act 1968 (Cth.), no part of this media release may, in any form or by any means (electronic, mechanical, micro-copying, photocopying, recording or otherwise), be reproduced, stored or transmitted without the prior written permission of SuperRatings. This media release may also contain third party supplied material that is subject to copyright. Any such material is the intellectual property of that third party or its content providers. The same restrictions applying above to SuperRatings copyrighted material, applies to such third party content.

// GLOBAL PARAMETERS

var chartHeight = 376;
var chartWidth = 700;
var startAmt = 100000;
var numAxes = 9;
var dateNum = 10;

// DATA

// SR50 Balanced (60-76) Index

var balancedPrices = [
100000,
93352.9,
90449.62481,
90338.1908722341,
88669.7348250148,
85423.9791817451,
87337.4763154162,
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157001.613097489,
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155160.60287187,
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172943.81000706,
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176557.789085557,
180563.53220433,
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183906.301282815,
185451.114213591,
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183759.601990173,
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187423.884626677,
189935.364680675,
191929.686009822,
193906.561775723,
193751.436526302
];

// SR50 Growth (77-90) Index

var growthPrices = [
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81293.8577967872,
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105492.957431785,
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146237.664045553,
148297.421543634,
151518.441539562,
157068.259016273,
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157520.544842832,
159372.828929639,
155456.082285864,
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154306.93476898,
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164131.698033399,
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174082.721844753,
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190663.900803332,
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192449.857188713,
193315.881546062,
196058.260641674,
198626.62385608,
201228.632628595,
200846.2982266
];

// SR50 Australian Shares Index

var australianPrices = [
100000,
89359.3,
83774.34375,
84226.6414319062,
80857.57577463,
77173.0577617316,
83237.9340251106,
87672.1020085623,
88969.649118289,
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108012.688946941,
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115407.051502622,
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106217.484726079,
103428.213577172,
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106362.083106274,
111143.058741901,
113134.186639262,
112071.404089973,
115746.113358679,
116000.754808068,
118448.370734518,
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118802.809195513,
116709.028486251,
114736.645904833,
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108268.445174395,
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111495.777758535,
112911.662640291,
113885.751553889,
107054.314746929,
107050.996063172,
110412.397339555,
113269.318120716,
115421.43516501,
118237.487340166,
118828.674776867,
122536.129429905,
128295.32751311,
134378.578762472,
132147.894355015,
136548.419237037,
132260.798872994,
129472.476711153,
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139056.24584266,
142540.439138494,
147322.243250273,
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149364.733769588,
149853.75390795,
152094.067528874,
152978.038249351,
150882.239125335,
156404.529077323,
157556.761243035,
150740.6981949,
155941.252282624,
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168546.842372397,
168955.56846515,
166568.226282737,
167489.681710533,
159450.176988428,
165869.481663805,
154747.932918247,
151457.991864405,
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171024.882104398,
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175960.96633647,
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199413.678201606,
201418.383908567,
207078.240496398,
209418.224614007,
211847.476019529,
209856.109744946
];

// SR50 International Shares Index

var internationalPrices = [
100000,
93420,
88496.766,
87348.07797732,
86710.4370080856,
79669.549523029,
80383.0700085573,
84940.7900780425,
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90237.8526181863,
92584.0367862592,
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92726.0150292814,
95934.3351492946,
93065.8985283307,
93531.2280209723,
97057.355317363,
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92462.3796912208,
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100461.575505129,
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99357.2627477764,
97915.7875798316,
95213.3118426283,
90156.0567841071,
89191.3869765171,
91125.234628942,
90670.9753343167,
90689.1095293835,
92865.6481580887,
96039.7031464841,
99469.0888664387,
98216.1762230771,
95601.1705311376,
95004.5236258528,
94401.2449008286,
97402.5436799607,
99744.7826478327,
99413.5302246592,
100384.402760833,
102699.869394915,
106848.944118469,
108302.08975848,
108714.93732464,
111483.689348424,
119515.420263841,
120519.349794058,
127468.133945134,
125951.263151187,
127238.611011855,
130068.397720759,
135390.146213503,
139779.765534038,
137484.302224438,
140586.085566923,
137050.345514915,
137528.377120071,
140168.646904022,
141154.733334992,
141112.386914992,
143250.239576754,
146444.719919315,
146991.837392934,
153224.291298394,
155744.064768796,
159950.867702266,
167122.584757433,
168369.152117138,
167873.81007161,
172252.294785898,
168454.476190458,
175904.375399981,
169079.109730086,
164700.806183626,
174132.397849731,
171711.086857631,
168259.694011792,
161788.762699487,
159631.794915177,
160208.384958411,
162796.551417414,
170106.279372607,
165286.998371702,
169819.829015047,
171894.178226466,
170734.408205972,
169197.798532119,
173614.030271605,
179075.58043589,
177660.883350446,
180414.627042378,
183644.048866437,
189796.124503462,
194412.345843635,
191244.202255768,
189720.9421848,
191208.733813414,
195984.363149137,
203295.363832053,
208052.475345723,
206887.381483787,
211449.455132886,
209779.004437336,
207932.949198287,
212091.608182253,
212510.277016805,
215082.501409816,
219835.824690973,
224979.982988742,
225407.444956421
];

// SR50 Cash Index

var cashPrices = [
100000,
100570,
100966.54751,
101295.39555524,
101623.086159861,
101856.819258029,
102056.254910136,
102274.349126879,
102496.284464484,
102726.798608245,
102963.070245044,
103189.588999583,
103437.244013182,
103664.805950011,
103923.967964886,
104204.562678391,
104506.755910159,
104799.374826707,
105101.825822457,
105417.551707228,
105744.34611752,
106097.637977899,
106468.979710821,
106830.974241838,
107188.110188729,
107572.379563755,
107938.125654272,
108335.553832931,
108736.395382113,
109095.225486874,
109487.968298627,
109871.176187672,
110266.712421947,
110663.672586666,
111050.99544072,
111450.112718334,
111833.055305634,
112235.654304734,
112606.03196394,
112985.176473562,
113360.287259455,
113700.368121233,
114077.853343395,
114454.310259429,
114832.009483285,
115135.165988321,
115453.860127776,
115775.514582092,
116091.813287931,
116405.261183808,
116685.215836955,
116989.414194642,
117273.815460549,
117529.706925884,
117793.67864764,
118076.501270073,
118348.077222994,
118596.608185162,
118869.380383988,
119118.649474653,
119359.030909293,
119597.748971112,
119833.834927581,
120064.994395156,
120299.601394204,
120520.11056356,
120756.209460154,
120985.646258128,
121223.262067379,
121465.708591514,
121708.640008697,
121942.442306153,
122171.572155247,
122410.661921954,
122641.406019677,
122897.726558258,
123155.443090851,
123379.093375504,
123606.604423689,
123813.769092703,
124021.652411009,
124215.002167118,
124411.758730551,
124610.81754452,
124796.238441026,
124995.912422532,
125181.656348391,
125377.315277264,
125579.047377545,
125767.415948611,
125972.03953436,
126186.192001568,
126399.446666051,
126589.04583605,
126788.296994196,
126983.677759864,
127155.613659551,
127333.631518674,
127504.131251278,
127682.509530898,
127861.265044242,
128027.484688799,
128206.723167363,
128381.725344487,
128570.061335567,
128746.716599842,
128915.503545305,
129083.093699914,
129250.901721723,
129431.852984134,
129596.619732983,
129763.410582579,
129948.323442659,
130104.26143079,
130273.39697065,
130456.407583428,
130647.134851315,
130826.252073196,
131035.574076514,
131232.127437628,
131415.852416041
];

// Dates

var dates = [“Sep 2008″,”Oct 2008″,”Nov 2008″,”Dec 2008″,”Jan 2009″,”Feb 2009″,”Mar 2009″,”Apr 2009″,”May 2009″,”Jun 2009″,”Jul 2009″,”Aug 2009″,”Sep 2009″,”Oct 2009″,”Nov 2009″,”Dec 2009″,”Jan 2010″,”Feb 2010″,”Mar 2010″,”Apr 2010″,”May 2010″,”Jun 2010″,”Jul 2010″,”Aug 2010″,”Sep 2010″,”Oct 2010″,”Nov 2010″,”Dec 2010″,”Jan 2011″,”Feb 2011″,”Mar 2011″,”Apr 2011″,”May 2011″,”Jun 2011″,”Jul 2011″,”Aug 2011″,”Sep 2011″,”Oct 2011″,”Nov 2011″,”Dec 2011″,”Jan 2012″,”Feb 2012″,”Mar 2012″,”Apr 2012″,”May 2012″,”Jun 2012″,”Jul 2012″,”Aug 2012″,”Sep 2012″,”Oct 2012″,”Nov 2012″,”Dec 2012″,”Jan 2013″,”Feb 2013″,”Mar 2013″,”Apr 2013″,”May 2013″,”Jun 2013″,”Jul 2013″,”Aug 2013″,”Sep 2013″,”Oct 2013″,”Nov 2013″,”Dec 2013″,”Jan 2014″,”Feb 2014″,”Mar 2014″,”Apr 2014″,”May 2014″,”Jun 2014″,”Jul 2014″,”Aug 2014″,”Sep 2014″,”Oct 2014″,”Nov 2014″,”Dec 2014″,”Jan 2015″,”Feb 2015″,”Mar 2015″,”Apr 2015″,”May 2015″,”Jun 2015″,”Jul 2015″,”Aug 2015″,”Sep 2015″,”Oct 2015″,”Nov 2015″,”Dec 2015″,”Jan 2016″,”Feb 2016″,”Mar 2016″,”Apr 2016″,”May 2016″,”Jun 2016″,”Jul 2016″,”Aug 2016″,”Sep 2016″,”Oct 2016″,”Nov 2016″,”Dec 2016″,”Jan 2017″,”Feb 2017″,”Mar 2017″,”Apr 2017″,”May 2017″,”Jun 2017″,”Jul 2017″,”Aug 2017″,”Sep 2017″,”Oct 2017″,”Nov 2017″,”Dec 2017″,”Jan 2018″,”Feb 2018″,”Mar 2018″,”Apr 2018″,”May 2018″,”Jun 2018″,”Jul 2018″,”Aug 2018″,”Sep 2018”];

// All prices

var allPrices = balancedPrices.concat(growthPrices, australianPrices, internationalPrices, cashPrices);

// FUNCTIONS

var balancedPoints = calcpoints(balancedPrices, chartHeight, chartWidth);
createchart(balancedPoints, balancedPrices);
createaxes(balancedPrices);
createDates();

function removeChart(){
var lines = document.getElementsByClassName(“line”);
while(lines.length > 0){
lines[0].parentNode.removeChild(lines[0]);
};
var labels = document.getElementsByClassName(“price-label”);
while(labels.length > 0){
labels[0].parentNode.removeChild(labels[0]);
};
var polyline = document.getElementById(“polyline-id”);
polyline.setAttribute(“points”, “”);
var polylineFill = document.getElementById(“polyline-fill”);
polylineFill.setAttribute(“points”, “”);
};

function report(portfolio){
if(portfolio == “balanced”){
removeChart();
createaxes(balancedPrices);
createDates();
var balancedPoints = calcpoints(balancedPrices, chartHeight, chartWidth);
createchart(balancedPoints, balancedPrices);
} else if(portfolio == “growth”){
removeChart();
createaxes(growthPrices);
createDates();
var growthPoints = calcpoints(growthPrices, chartHeight, chartWidth);
createchart(growthPoints, growthPrices);
} else if(portfolio == “australian”){
removeChart();
createaxes(australianPrices);
createDates();
var australianPoints = calcpoints(australianPrices, chartHeight, chartWidth);
createchart(australianPoints, australianPrices);
} else if(portfolio == “international”){
removeChart();
createaxes(internationalPrices);
createDates();
var internationalPoints = calcpoints(internationalPrices, chartHeight, chartWidth);
createchart(internationalPoints, internationalPrices);
} else if(portfolio == “cash”){
removeChart();
createaxes(cashPrices);
createDates();
var cashPoints = calcpoints(cashPrices, chartHeight, chartWidth);
createchart(cashPoints, cashPrices);
};
};

function numberWithCommas(num){
var parts = num.toString().split(“.”);
parts[0] = parts[0].replace(/\B(?=(\d{3})+(?!\d))/g, “,”);
return parts.join(“.”);
};

function dataconvert(prices, dates){
var data = [];
for(var i = 0; i < prices.length; i++){
var datum = {
price: prices[i],
date: dates[i]
};
data.push(datum);
};
return data;
};

function calcdollar(data, startAmt){
var oneData = [];
for(var i = 0; i < data.length; i++){
oneData.push(data[i] + 1);
};
var dollarAmts = [];
var start = startAmt;
var accum = start;
for(var i = 0; i < oneData.length; i++){
accum = oneData[i] * accum;
dollarAmts.push(accum);
};
return dollarAmts;
};

function calcpoints(prices, chartHeight, chartWidth){
var points = [];
var xPoint = 0;
var step = chartWidth / prices.length;
var max = Math.max.apply(null, allPrices);
var min = Math.min.apply(null, allPrices);
var range = max – min;
var firstInterval = range / numAxes;
var interval = 20000;

var minAxis = 60000 // startAmt – (interval * Math.ceil((startAmt – min) / interval));
var maxAxis = 240000 // minAxis + (numAxes * interval);
var axisRange = maxAxis – minAxis;

for(var i = 0; i < prices.length; i++){
if(prices[i] === maxAxis){
var yPoint = 0;
} else if(prices[i] === minAxis){
var yPoint = chartHeight;
} else {
var yPoint = ((maxAxis – prices[i]) / axisRange) * chartHeight;
}
var xandy = {
x: xPoint,
y: yPoint
};
points.push(xandy);
var xPoint = xPoint + step;
};
return points;
};

function createaxes(prices){
var max = Math.max.apply(null, allPrices);
var min = Math.min.apply(null, allPrices);
var range = max – min;
var firstInterval = range / numAxes;
var interval = 20000;

var minAxis = 60000 // startAmt – (interval * Math.ceil((startAmt – min) / interval));
var maxAxis = 240000 // minAxis + (numAxes * interval);
var axisRange = maxAxis – minAxis;

var step = chartHeight / numAxes;
var accum = step;
var d = "";

// DRAW AXES

for(var i = 1; i minAxis; i = i – interval){
accum = accum + step;
var div = document.createElement(“div”);
div.style.position = “absolute”;
div.className = “price-label”;
div.style.left = chartWidth + 5 + “px”;
div.style.top = accum – 12 + “px”;
var commaNum = numberWithCommas(priceLabel);
div.innerHTML = “$” + commaNum;
document.getElementById(“main-chart”).appendChild(div);
priceLabel = priceLabel – interval;
};
};

// DRAW DATES

function createDates() {
var step = chartWidth / dateNum;
var left = 0 – 25;

for(var i = 0; i <= dateNum * 12; i += 12) {
var date = dates[i];
var div = document.createElement("div");
div.className = "price-label";
div.style.position = "absolute";
div.style.top = chartHeight + 5 + "px";
div.style.left = left + "px";
div.style.zIndex = "4";
div.innerHTML = date;
document.getElementById("main-chart").appendChild(div);
var step
left += step;
};
};

function createchart(points, prices){

// DRAW CHART LINE

var pairs = [];
for(var i = 0; i < points.length; i++){
var xPoint = points[i].x;
var yPoint = points[i].y;
pairs.push(xPoint);
pairs.push(yPoint);

var chart = document.getElementById("chart");
var point = chart.createSVGPoint();
point.x = xPoint;
point.y = yPoint;
var polyline = document.getElementById("polyline-id");
polyline.points.appendItem(point);
};

// DRAW CHART FILL

for(var i = 0; i < points.length; i++){
var xPoint = points[i].x;
var yPoint = points[i].y;
pairs.push(xPoint);
pairs.push(yPoint);

var chart = document.getElementById("chart");
var point = chart.createSVGPoint();
point.x = xPoint;
point.y = yPoint;
var polyline = document.getElementById("polyline-fill");
polyline.points.appendItem(point);
};

var num = points.length – 1;

var chart = document.getElementById("chart");
var point = chart.createSVGPoint();
point.x = points[num].x;
point.y = chartHeight;
var polyline = document.getElementById("polyline-fill");
polyline.points.appendItem(point);

var chart = document.getElementById("chart");
var point = chart.createSVGPoint();
point.x = 0;
point.y = chartHeight;
var polyline = document.getElementById("polyline-fill");
polyline.points.appendItem(point);

var chart = document.getElementById("chart");
var point = chart.createSVGPoint();
point.x = 0;
point.y = points[0].y;
var polyline = document.getElementById("polyline-fill");
polyline.points.appendItem(point);

var left = 0;
var step = chartWidth / points.length;

// CREATE INTERACTIVE ELEMENTS

for(var i = 0; i < points.length; i++){
var top = points[i].y;
var div = document.createElement("div");
div.id = left;
div.className = "line";
div.style.position = "absolute";
div.style.height = chartHeight + "px";
div.style.width = step + "px";
div.style.left = left – (step / 2) + "px";
div.style.top = "0px";
document.getElementById("chart-container").appendChild(div);

var div = document.createElement("div");
div.className = "cursor";
div.style.height = chartHeight – points[i].y + "px";
div.style.top = chartHeight – (chartHeight – points[i].y) + "px";
div.style.left = "2px";
div.style.position = "absolute";
div.style.zIndex = "2";
document.getElementById(left).appendChild(div);

var div = document.createElement("div");
div.className = "dot";
div.style.position = "absolute";
div.style.top = points[i].y – 6 + "px";
div.style.left = 0 – (step / 2) + "px";
div.style.zIndex = "3";
document.getElementById(left).appendChild(div);

var div = document.createElement("div");
div.className = "label-chart";
div.style.position = "absolute";
div.style.top = chartHeight – 26 + "px";
div.style.left = "-50px";
div.style.zIndex = "4";
var num = Math.round(prices[i]);
var commaNum = numberWithCommas(num);
div.innerHTML = dates[i] + ": $" + commaNum;
document.getElementById(left).appendChild(div);

var left = left + step;
};
};

Don’t miss the premier awards night for superannuation and wealth management industries

The 16th Annual SuperRatings & Lonsec Fund of the Year Awards Dinner is a must-attend black tie, gala event for the superannuation and funds management industries – and the prestigious conclusion to the SuperRatings & Lonsec Day of Confrontation.

Join over 400 colleagues for an exclusive evening of celebration and entertainment, where we recognise the highest achieving funds that have stood out amongst their peers, demonstrating passion, innovation and a single-minded commitment to going above and beyond for members and investors.

Along with the coveted Fund of the Year Award, SuperRatings will be presenting a number of awards. The key award categories include:

Pension of the Year

  • AustralianSuper
  • BUSSQ
  • Cbus Super
  • Equip
  • HESTA
  • QSuper
  • Sunsuper
  • TelstraSuper
  • UniSuper
  • VicSuper

 

MyChoice Super of the Year

  • CareSuper
  • Cbus Super
  • Hostplus
  • Mercer Super Trust
  • QSuper
  • Statewide Super
  • Sunsuper
  • Telstra Super
  • UniSuper
  • VicSuper

 

MySuper of the Year

  • AustralianSuper
  • CareSuper
  • First State Super
  • HESTA
  • Hostplus
  • Intrust Super
  • QSuper
  • Rest
  • Sunsuper
  • UniSuper

 

Career Fund of the Year

  • Cbus Super
  • HESTA
  • Hostplus
  • Intrust Super
  • Telstra Super

 

Best New Innovation

  • BUSSQ Centrelink Asssist Program
  • QSuper Online Tax Deduction Claims Facility
  • Sunsuper BEAM
  • WA Super Scaled Advice Tool

 

 

Rising Star

  • HUB24
  • MTAA Super
  • netwealth
  • Tasplan
  • WA Super

 

Fund of the Year

  • Announced on the night

 

 

 

 

Infinity Award

  • Announced on the night

 

 

 

In addition to the SuperRatings honours, Lonsec will be presenting a number of awards recognising excellence across the broader wealth management industry. The key award categories include:

Lonsec Innovation Award

  • Challenger CarePlus
  • Magellan Global Trust
  • Partners Group Global Real Estate Fund

 

 

Lonsec Rising Star Award

  • Affirmative Investment Management Partners Ltd
  • India Avenue Investment Management
  • Lennox Capital Partners Pty Ltd

 

 

Lonsec Disruptor Award

  • BetaShares Australia 200 ETF
  • BetaShares Australian Investment Grade Corporate Bond ETF
  • CFM IS Trends Trust

 

Listed Fund Award

  • MCP Master Income Trust
  • VanEck Vectors Australian Floating Rate ETF
  • Vanguard Global Value Equity Active ETF

 

We are also proud to announce the nominees for the Pendal Retirement Innovation Award, which recognises those individuals who significantly enhance Australians’ experiences in their retirement years.

 

Pendal Retirement Innovation Award

  • Jean-Luc Ambrosi – Executive General Manager, Marketing & Digital, TelstraSuper
  • Steven Hack – Manager – Product and Advice, BUSSQ
  • Sam Harris – General Manager, Insights and Customer Experience, HESTA
  • Lyn Melcer – Head of Technical Advice, QSuper

 

The evening is proudly supported by our principal sponsor Pendal, and the Link Group.

 

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Event details

Where: Grand Hyatt, Melbourne

When: Tuesday 30 October 2018

Time: 7:00pm to 11:00pm

Dress Code: Black Tie

 

Awards dinner: $275 + GST

Combo (Day and Awards Dinner): $599 + GST

All delegates can receive special accommodation rates at the Grand Hyatt. Simply enter your dates and special offer code ‘EVENT’. For more details, click here.

 

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Investors are constantly warned of an impending crisis in financial markets with the resultant damage to asset prices. Yet while a crisis can have a severe impact on markets, investors who avoid herd-like selling can often ride out the slumps. For active and contrarian fund managers, such periods of disruption can also present opportunities.

The below chart reveals the impact on financial markets of eight memorable political and market crises over the last twenty years. The chart shows the impact each event had on the performance of US shares, measured by the Dow Jones Industrial Average, on the day of the crisis and over the subsequent 150 trading days.

Dow Jones Industrial Index performance following a crisis


Source: Lonsec, Bloomberg, FE

In all but one case—the Global Financial Crisis which began in 2008—the Dow Jones had rebounded by the 150-day mark and in many instances had produced gains that exceeded the initial loss. Lonsec does not recommend a strategy that seeks to time the market but the analysis highlights that in general major crises have an only short-term impact on markets.

Release ends

The managed account model is at the centre of a nascent revolution in financial advice. As pressures build on traditional advice businesses, the efficiencies offered by managed accounts have led advisers to rethink how they deliver advice and manage investments on behalf of clients. But while there are clear opportunities, the drive to shift to a managed account offering can result in rushed implementation, poorly aligned business practices and, critically, sub-optimal investment outcomes.

A well marketed but misconceived view is that the accessibility of managed account technology will inevitably lead to a win-win for businesses and clients. While the headline is correct, unfortunately this outcome is not guaranteed by the technology itself. For advisers to unlock the full benefits of the managed account model, as well as meet their clients’ best interests, they need to be able to provide quality portfolios backed by the right governance and compliance structures.

The implementation dilemma — adapting to the new world of financial advice

Successful implementation of managed accounts requires a whole of business transformation, and this naturally presents a range of commercial and operating risks. A number of advice practices have opted to go it alone by offering a private label managed account solution, acting as both adviser and model manager. Putting aside ASIC’s concerns regarding vertically integrated advice, the real risk for advisers is in underestimating the resources and skills required in the development of the model portfolios, as well as ongoing analysis and reporting of a public offer document.

The development of an institutional grade solution involves proof of concept with the construction and management of the portfolios, as well as time-consuming monitoring and reporting on investment performance. Naturally, this requires an investment committee with the right mix of skills and knowledge, a clear investment philosophy and process, and the capacity to filter and analyse the investment product universe. Advisers embarking on the managed account journey with minimal research, outdated traditional models, or poorly funded governance and compliance structures may end up facing higher costs in the long run. It will also place them clearly within the regulatory eyesight of ASIC.

What this means is that managed accounts, while presenting an opportunity for advisers, also present a very real dilemma. There are significant risks involved in implementation, but it is impossible for advisers to ignore the benefits of managed accounts. For ethical advisers who care about their clients, there is a need to balance a responsive and scalable investment solution with regulatory requirements and the costs of implementation. For many advisers, ASIC’s requirement for all discretionary account providers to be licensed, which came into effect this month, will make separately managed accounts (SMAs) an even more attractive solution.

As the wealth industry confronts the revelations from the Royal Commission into Financial Services, it awaits to be seen what recommendations will flow from the hearings and how the federal government will respond. While financial advice is unlikely to be radically impacted, advisers are still adapting to ongoing regulatory change, the most significant of which is FASEA’s education and training requirements. Nearly all advisers will be required to undertake further study, and many practices will need to recruit additional qualified advisers. Add to this the supervision of ethical standards compliance and advisers are facing increasing costs at a time when the demand for qualified advice is rising. In this environment, the ability to scale financial advice and the investment process is critical.

Scale and quality — the role of professional portfolio construction

One of the first steps to success for advisers is ensuring that they have the right research capabilities in place. The second step is to leverage this research with the right investment knowledge. This is where the help of external experts can be invaluable. By partnering with an investment research provider, advisers can expand the depth and breadth of their research and keep their clients informed of events impacting their portfolio as and when they occur.

Increasingly, however, advisers are taking this a step further and drawing directly on the expertise of their portfolio manager. This can be in the form of prepackaged model portfolios designed to cater to an array of risk profiles, or through a tailored, white label solution that reflects the adviser’s investment philosophy and client needs.

When considering an in-house managed account solution, the adviser should ensure they are of sufficient size to achieve scale benefits and that their in-house investment committee is equipped to deliver reliable investment outcomes on par with a dedicated team of research and portfolio construction professionals. From a client interest perspective, they should also ensure that their suite of model portfolio solutions is broad enough to cater to a range of risk profiles, or specialized enough to cater to particular retirement goals. Naturally, a small- to medium-sized client base makes this very difficult.

The future role of managed accounts, when coupled with excellent governance and sourcing of financially secure external experts, is a positive step for the advice profession and their clients. The key to success for participants is determining where the advice skill set is best used and where the cost of governance starts and ends in the new world.

Emerging market returns have been a cause for concern over recent weeks but by taking a broader perspective, investors may be able to take advantage of the volatility that is inherent in this sector.

Recent analysis by research house Lonsec reveals that while emerging markets experience strong bouts of volatility they have also produced significant real returns over the long term. The below chart compares the MSCI Emerging Market Index, which tracks a basket of emerging market indices, with the standard MSCI World Ex Australia Index, which tracks developed market indices.

The chart reveals that while the emerging market index has experienced more volatility it has also produced higher returns over the past 20 years.

Emerging versus developed—growth of $10,000 over 20 years

Source: Lonsec, Bloomberg

Performance to 31 August 2018

It is important to remember that the phrase ‘emerging markets’ captures a large number of diverse countries. While Turkey and Argentina have suffered from trade related uncertainty, political risks and a rising US dollar, other emerging economies are powering ahead.

For example, India is still the fastest growing major economy in the world. The relationship between GDP growth and share market performance is imperfect with rising GDP not necessarily translating to strong investment returns. However, in India’s case share market performance has been reasonably correlated with GDP growth, indicating that it is relatively sustainable.

As a result, the broader emerging market index often has countries that are outperforming, and therefore balancing, laggards. This may produce more volatility but not necessarily lower returns.

Indian equities performance versus GDP growth

Source: Lonsec, Bloomberg

Release ends

IMPORTANT NOTICE: This document is published by Lonsec Research Pty Ltd ABN 11 151 658 561, AFSL 421 445 (Lonsec).

Please read the following before making any investment decision about any financial product mentioned in this document.

Warnings: Lonsec reserves the right to withdraw this document at any time and assumes no obligation to update this document after the date of publication. Past performance is not a reliable indicator of future performance. Any express or implied recommendation, rating, or advice presented in this document is a “class service” (as defined in the Financial Advisers Act 2008 (NZ)) or limited to “general advice” (as defined in the Corporations Act (C’th)) and based solely on consideration of data or the investment merits of the financial product(s) alone, without taking into account the investment objectives, financial situation and particular needs (“financial circumstances”) of any particular person.

Warnings and Disclosure in relation to particular products: If our general advice relates to the acquisition or possible acquisition or disposal or possible disposal of particular classes of assets or financial product(s), before making any decision the reader should obtain and consider more information, including the Investment Statement or Product Disclosure Statement and, where relevant, refer to Lonsec’s full research report for each financial product, including the disclosure notice. The reader must also consider whether it is personally appropriate in light of his or her financial circumstances or should seek further advice on its appropriateness. It is not a “personalised service” (as defined in the Financial Advisers Act 2008 (NZ)) and does not constitute a recommendation to purchase, hold, redeem or sell any financial product(s), and the reader should seek independent financial advice before investing in any financial product. Lonsec may receive a fee from Fund Manager or Product Issuer (s) for reviewing and rating individual financial product(s), using comprehensive and objective criteria. Lonsec may also receive fees from the Fund Manager or Financial Product Issuer (s) for subscribing to investment research content and services provided by Lonsec.

Disclaimer: This document is for the exclusive use of the person to whom it is provided by Lonsec and must not be used or relied upon by any other person. No representation, warranty or undertaking is given or made in relation to the accuracy or completeness of the information presented in this document, which is drawn from public information not verified by Lonsec. Conclusions, ratings and advice are reasonably held at the time of completion but subject to change without notice. Lonsec assumes no obligation to update this document following publication. Except for any liability which cannot be excluded, Lonsec, its directors, officers, employees and agents disclaim all liability for any error, inaccuracy, misstatement or omission, or any loss suffered through relying on the information.

Copyright © 2018 Lonsec Research Pty Ltd, ABN 11 151 658 561 AFSL 421 445. All rights reserved. Read our Privacy Policy here.

Ten years since the collapse of US investment bank Lehman Brothers, Australia’s superannuation funds have accumulated over $1 trillion in retirement savings, providing a windfall for members prepared to take a long-term view.

According to data from leading superannuation research house SuperRatings, members with a balance of $100,000 at the end of August 2008, just days before the Global Financial Crisis (GFC) hit, would today have a nest egg worth $193,887 if they remained in a balanced option. In contrast, members who panicked and shifted their savings to a capital stable option would have a far smaller balance of $164,277 (see chart below).

Growth of $100,000 invested over 10 years to 31 August 2018*

Select index

SR50 Balanced (60-76) Index
SR50 Growth (77-90) Index
SR25 Conservative Balanced (41-59) Index
SR50 Capital Stable (20-40) Index
SR25 Secure (0-19) Index

Source: SuperRatings

Interim results only

Source: SuperRatings

*Interim results

Investors who had stuck it out with their growth option would have fared even better, with $100,000 growing to $201,209 over the decade. The results show the importance of taking a long-term view, even in the face of severe crises such as the GFC.

“The failure of Lehman Brothers ushered in a period of intense crisis for the global financial markets, including in Australia,” said SuperRatings Executive Director Kirby Rappell. “We hoped then that the market crash would prove cyclical and that we would see a relatively quick recovery, but of course that did not happen.”

“But even in the face of the Great Recession, Australia’s superannuation funds have shown us that taking a long-term view and sticking with your investment strategy pays off. Super funds held their nerve and refrained from making rash decisions, and members continue to reap the benefits. After 10 years the GFC looks more like a speed hump.”

Interim results only. Median Balanced Option refers to ‘Balanced’ options with exposure to growth style assets of between 60% and 76%. Approximately 60% to 70% of Australians in our major funds are invested in their fund’s default investment option, which in most cases is the balanced investment option. Returns are net of investment fees, tax and implicit asset-based administration fees

According to SuperRatings’ data, the median balanced option grew at an estimated 1.0% in August, while the median growth option delivered 1.3%. Over ten years, results remain diminished by the GFC, with the median balanced option returning only 6.6% p.a. However, over the past seven years the median balanced option has returned a very healthy 9.3% p.a., with super funds riding the global share market rally which began in 2009.

“The lesson of the GFC is useful to bear in mind when confronting the risks and uncertainties in today’s market,” said Mr Rappell. “There are some significant risks, including the threat of tariffs on global trade and investment, central bank tightening, and the currency and bond crisis that has engulfed emerging markets. Funds need to maintain discipline and stick to their long-term return objectives in the interest of their members.”

Best and worst performing options over 10 years to 31 August 2018*

Source: SuperRatings

*Interim results

Australia’s top super funds take a long-term view

While the GFC continues to cast a shadow over long-term returns, Australia’s top performing funds have nevertheless delivered some impressive results. A comparison of balanced option returns shows that CareSuper remains ahead of the pack with an annual return of 7.6% over the past decade, followed closely by Equip MyFuture and HOSTPLUS.

Source: SuperRatings

*Interim results.

Source: SuperRatings

# IOOF Employer Super Core – IOOF MultiMix Balanced Growth Trust

*Interim results

Release ends

Warnings: Past performance is not a reliable indicator of future performance. Any express or implied rating or advice presented in this document is limited to “General Advice” (as defined in the Corporations Act 2001(Cth)) and based solely on consideration of the merits of the superannuation or pension financial product(s) alone, without taking into account the objectives, financial situation or particular needs (‘financial circumstances’) of any particular person. Before making an investment decision based on the rating(s) or advice, the reader must consider whether it is personally appropriate in light of his or her financial circumstances, or should seek independent financial advice on its appropriateness. If SuperRatings advice relates to the acquisition or possible acquisition of particular financial product(s), the reader should obtain and consider the Product Disclosure Statement for each superannuation or pension financial product before making any decision about whether to acquire a financial product. SuperRatings research process relies upon the participation of the superannuation fund or product issuer(s). Should the superannuation fund or product issuer(s) no longer be an active participant in SuperRatings research process, SuperRatings reserves the right to withdraw the rating and document at any time and discontinue future coverage of the superannuation and pension financial product(s). Copyright © 2018 SuperRatings Pty Ltd (ABN 95 100 192 283 AFSL No. 311880 (SuperRatings)). This media release is subject to the copyright of SuperRatings. Except for the temporary copy held in a computer’s cache and a single permanent copy for your personal reference or other than as permitted under the Copyright Act 1968 (Cth.), no part of this media release may, in any form or by any means (electronic, mechanical, micro-copying, photocopying, recording or otherwise), be reproduced, stored or transmitted without the prior written permission of SuperRatings. This media release may also contain third party supplied material that is subject to copyright. Any such material is the intellectual property of that third party or its content providers. The same restrictions applying above to SuperRatings copyrighted material, applies to such third party content.

// GLOBAL PARAMETERS

var chartHeight = 376;
var chartWidth = 700;
var startAmt = 100000;
var numAxes = 8;

// DATA

// SR50 Balanced (60-76) Index

var balancedPrices = [
100000,
93352.9,
90449.62481,
90338.1908722341,
88669.7348250148,
85423.9791817451,
87337.4763154162,
90005.6362168522,
90914.6931426424,
91396.5410162984,
94705.0958010884,
97655.1595352923,
100145.366103442,
99093.1387417934,
100391.258859311,
102592.337209801,
100366.083492349,
101206.047245096,
104141.022615204,
104055.418694614,
101429.892370112,
100179.667516758,
102184.1624841,
101782.885278025,
104062.821908253,
105455.078402564,
105268.001093478,
107042.714323912,
108102.437195719,
109280.753761153,
109652.30832394,
109811.30417101,
109531.285345374,
108808.378862095,
107304.320641084,
105333.998705472,
103425.767984924,
106297.798136097,
105222.914801345,
105108.221824212,
107509.839584673,
109439.641205218,
111072.371212359,
111405.588325996,
108960.90409577,
109234.069082338,
110408.335324973,
112219.032024303,
113877.180441494,
114846.389124231,
115459.094610209,
117670.829026562,
120684.849641249,
123038.204209253,
122809.722264036,
125288.513698214,
126153.004442731,
125390.787989888,
129204.298025025,
129774.088979315,
131505.14555221,
133828.315453536,
134878.867729846,
136821.123425156,
135663.479899855,
138501.69556284,
138010.014543592,
139007.274908684,
140471.994564397,
140724.844154613,
142441.687253299,
143675.802031662,
142817.626466127,
144567.999296096,
145646.332002845,
147346.024697318,
150189.360935903,
154641.424162126,
155570.973762764,
155103.016273686,
156605.188986296,
153441.764168773,
157001.613097489,
152421.091035369,
150902.367284293,
155411.631823482,
154909.030606165,
155160.60287187,
151661.731277109,
150911.005707287,
153491.28208287,
155594.41962997,
159149.752118515,
157558.25459733,
161735.754159723,
162199.774038407,
162272.763936725,
161039.490930806,
162917.37243455,
166420.095941892,
166237.033836356,
168065.641208556,
170569.819262564,
172943.81000706,
173762.698947444,
173797.451487233,
173884.350212977,
174922.265899398,
176557.789085557,
180563.53220433,
182827.618334641,
183906.301282815,
185451.114213591,
185092.266307587,
183759.601990173,
186736.507542413,
187423.884626677,
189935.364680675,
191929.686009822,
193887.368807122
];

// SR50 Growth (77-90) Index

var growthPrices = [
100000,
91467.9,
87758.876655,
87399.0652607145,
85267.3146599404,
81293.8577967872,
83676.6620626689,
86973.522547938,
88265.0793577749,
89103.5976116738,
93041.9766261098,
96428.7045753001,
99234.7798784414,
97715.6938680622,
99147.2287832293,
101814.289237498,
98983.8519966957,
99960.5256643471,
103639.073008795,
103421.430955477,
99863.7337306082,
98116.1183903226,
100500.340067207,
99706.3873806765,
102383.503881848,
103987.853387676,
103748.681324885,
105737.232299839,
106889.768131907,
108204.512279929,
108496.664463085,
108540.06312887,
107975.6548006,
106939.088514514,
104933.980604867,
102296.150200422,
100011.058797245,
103564.951771605,
102045.653929116,
101802.887318418,
104521.02440982,
106726.418024867,
108617.716878686,
108834.952312443,
105492.957431785,
105762.386445066,
107065.590570842,
109014.184319231,
110758.411268339,
111815.821820718,
112491.972095268,
114955.546284154,
118580.324569586,
121165.375645203,
120807.93778705,
123655.743304504,
124635.962381679,
123676.26547134,
128294.213547774,
128862.043736937,
130885.048961563,
133555.103960379,
134789.954451596,
136919.635731932,
135303.984030295,
138668.994113128,
137934.048444329,
139037.520831883,
140658.281212221,
140735.643266887,
142826.83419019,
144131.98580102,
143087.893695877,
144975.938453194,
146237.664045553,
148297.421543634,
151518.441539562,
157068.259016273,
158041.925153915,
157520.544842832,
159372.828929639,
155456.082285864,
159762.215765183,
153920.670107944,
151996.661731595,
157386.159363274,
156794.859562546,
157026.131980401,
152516.184443792,
151326.55820513,
154306.93476898,
156808.558795455,
161078.612660014,
158775.188498976,
163828.050097767,
164174.054939574,
164131.698033399,
162359.075694639,
164891.877275475,
169483.95116572,
169009.396102456,
171189.617312177,
174082.721844753,
176799.456801862,
177555.981677517,
177413.936892175,
177344.745456787,
178490.392512438,
180457.535128318,
185340.35511382,
188141.2185603,
189495.835333934,
191211.530627048,
190663.900803332,
188528.465114334,
192449.857188713,
193315.881546062,
196058.260641674,
198626.62385608,
201208.769966209
];

// SR25 Conservative Balanced (41-59) Index

var australianPrices = [
100000,
94930,
92794.075,
92929.36876135,
91913.6507607884,
89271.1333014158,
90756.8727729512,
92821.5916285359,
93582.7286798899,
94200.3746891771,
96922.7655176944,
99547.143239617,
101556.800967338,
100845.903360567,
102065.130332196,
103626.726826279,
102424.656795094,
103155.559145984,
105509.981627932,
105642.396654875,
103782.139692179,
103089.497691874,
104649.241791952,
104795.75073046,
106432.450765369,
107553.716634182,
107294.189515943,
108543.308470288,
109465.926592286,
110516.799487571,
110848.349886034,
111191.979770681,
111193.536458398,
110648.688129752,
109871.823690393,
108730.035698602,
107232.170726818,
109466.460236082,
108820.608120689,
109001.032688953,
110886.750554472,
112405.788150318,
113820.97702313,
114242.114638116,
112859.67080888,
113198.249821307,
114240.352909162,
115725.477496981,
117113.95177599,
118031.071132347,
118537.660489647,
120158.662996843,
122370.904141278,
124181.993522569,
124107.484326456,
126341.915474269,
126733.575412239,
125760.515020224,
128581.323372128,
128847.229548861,
130048.858811634,
131848.865066446,
132527.754872673,
133880.598194413,
133336.775204548,
135439.496149523,
135073.80950992,
136006.088943157,
137243.74435254,
137611.145856171,
138810.7022146,
139902.170766113,
139219.448172775,
140668.722628253,
141737.804920228,
143189.483518221,
145529.056489425,
148526.955053107,
149239.587383452,
148657.552992657,
149580.121766529,
147306.503915678,
150215.807368012,
147303.273078954,
146187.598088654,
149286.775168133,
148759.942138565,
148878.950092276,
146844.072602415,
146256.696312005,
147807.017292912,
149203.941413348,
151815.010388081,
151179.664569607,
154211.723922215,
154515.675230066,
154490.952722029,
153548.557910425,
154439.139546305,
156925.609693001,
156800.069205246,
158273.989855776,
159983.348946218,
161747.325351699,
162476.158799734,
162313.682640934,
162318.065110365,
163064.565891808,
164048.497482399,
166894.738913719,
168563.686302856,
169128.37465197,
170117.944772059,
169790.637846318,
168924.705593301,
171061.603119057,
171708.044917244,
173330.685941711,
174735.011159211,
176290.152758528
];

// SR50 Capital Stable (20-40) Index

var internationalPrices = [
100000,
96633.6,
95482.3072896,
95701.9165963661,
95292.1209895004,
93600.6858419368,
94570.5761486309,
95931.1630276813,
96463.5809824849,
97090.5942588711,
99037.1635831672,
100894.110400352,
102435.671513159,
102189.825901527,
103197.724154394,
104229.701395938,
103781.513679935,
104396.522930002,
105868.513903315,
106196.494559388,
105324.408946066,
105250.681859804,
106349.393727738,
106907.728044809,
107893.310389654,
108659.352893421,
108535.589890475,
109403.874609599,
110235.344056632,
111040.062068245,
111450.910297898,
111885.56884806,
112204.442719277,
112041.746277334,
111827.634500198,
111477.725831847,
110871.06404787,
112279.126561278,
112071.410177139,
112507.704176959,
113959.053560842,
115098.64409645,
116105.757232294,
116745.383848887,
116292.645250321,
116649.082208013,
117626.601516916,
118690.651754238,
119818.212945903,
120561.085866168,
121012.828254908,
122209.161075037,
123633.753265688,
124898.65019535,
125044.282021477,
126707.370972363,
127030.474768342,
126297.00080703,
128146.620383849,
128304.368873542,
129229.956590595,
130422.749089927,
130918.355536468,
131985.732889157,
131960.391628442,
133345.975740541,
133345.975740541,
134119.382399836,
135125.277767835,
135564.164670025,
136445.33174038,
137251.041424307,
136959.931965446,
137968.367944508,
138803.076570572,
139843.128023315,
141529.216617892,
143435.473636519,
144067.737204308,
143788.245794132,
144333.490822183,
143063.356102948,
144839.916859035,
143246.677773585,
142705.92156499,
144668.841516116,
144379.503833084,
144534.567420201,
143652.906558938,
143574.184766143,
144860.753035833,
145909.400027059,
147628.358668778,
147730.074607901,
149680.850243098,
149980.211943584,
149990.860538632,
149420.895268585,
149719.737059123,
151276.822324538,
151428.099146862,
152351.810551658,
153433.508406575,
154586.254355233,
155281.583327323,
155272.421713907,
155398.813465182,
155934.473175196,
156473.850517909,
158255.305306056,
159374.012059264,
159654.350946477,
160276.364297764,
160200.713853816,
160016.803434311,
161074.194471405,
161513.604873923,
162562.958764789,
163395.118550706,
164277.45219088
];

// SR25 Secure (0-19) Index

var cashPrices = [
100000,
99940,
100319.772,
100712.423587608,
100903.777192424,
100918.509143895,
101126.401272731,
101328.654075276,
101514.592155505,
101778.530095109,
102171.496999806,
102590.400137505,
102949.466537987,
103162.160135854,
103496.096048214,
103734.137069125,
104024.592652918,
104368.081857858,
104691.622911617,
105010.618286629,
105285.011032212,
105623.502342681,
105993.18460088,
106413.553571007,
106743.435587077,
107117.037611632,
107405.825145033,
107737.172115605,
108178.894521279,
108579.156431008,
109013.473056732,
109446.256544767,
109873.096945292,
110147.779687655,
110455.532584103,
110748.23974545,
111030.204763842,
111407.374369425,
111697.033542786,
112061.94775137,
112484.757480236,
112862.143841582,
113297.904578954,
113649.128083149,
113993.257642985,
114317.112487949,
114676.411172498,
115080.53084547,
115506.328809598,
115910.600960432,
116232.716520501,
116633.254461631,
116957.728175543,
117261.818268799,
117536.679970821,
117881.062443136,
118146.294833633,
118237.031188065,
118554.852327899,
118783.663192892,
119089.887476603,
119399.521184042,
119593.784205008,
119868.012752191,
120130.643568131,
120370.904855267,
120613.69297036,
120875.424684106,
121141.350618411,
121414.039798653,
121733.844379482,
122017.971172264,
122172.201887826,
122431.695644636,
122703.12671388,
122975.159545804,
123296.124712219,
123548.881767879,
123792.643711607,
123954.069319007,
124160.328890354,
124223.774818417,
124467.129193286,
124546.290287453,
124616.036210014,
124891.936114183,
125019.200997083,
125157.222194984,
125319.926583838,
125474.947333022,
125725.897227688,
125980.869347265,
126245.303192025,
126525.567765112,
126816.576570971,
127043.451426457,
127199.58782826,
127326.787416088,
127385.103084725,
127597.836206876,
127814.752528428,
128032.037607726,
128236.888867899,
128451.813893641,
128670.181977261,
128790.359927227,
128991.272888714,
129197.658925336,
129332.928874231,
129645.138564533,
129862.294171629,
130007.869803395,
130171.939735087,
130243.92481776,
130348.119957615,
130553.418246548,
130719.090534303,
130934.384876413,
131160.508559094,
131383.481423645
];

// Dates

var dates = [“Sep 2008″,”Oct 2008″,”Nov 2008″,”Dec 2008″,”Jan 2009″,”Feb 2009″,”Mar 2009″,”Apr 2009″,”May 2009″,”Jun 2009″,”Jul 2009″,”Aug 2009″,”Sep 2009″,”Oct 2009″,”Nov 2009″,”Dec 2009″,”Jan 2010″,”Feb 2010″,”Mar 2010″,”Apr 2010″,”May 2010″,”Jun 2010″,”Jul 2010″,”Aug 2010″,”Sep 2010″,”Oct 2010″,”Nov 2010″,”Dec 2010″,”Jan 2011″,”Feb 2011″,”Mar 2011″,”Apr 2011″,”May 2011″,”Jun 2011″,”Jul 2011″,”Aug 2011″,”Sep 2011″,”Oct 2011″,”Nov 2011″,”Dec 2011″,”Jan 2012″,”Feb 2012″,”Mar 2012″,”Apr 2012″,”May 2012″,”Jun 2012″,”Jul 2012″,”Aug 2012″,”Sep 2012″,”Oct 2012″,”Nov 2012″,”Dec 2012″,”Jan 2013″,”Feb 2013″,”Mar 2013″,”Apr 2013″,”May 2013″,”Jun 2013″,”Jul 2013″,”Aug 2013″,”Sep 2013″,”Oct 2013″,”Nov 2013″,”Dec 2013″,”Jan 2014″,”Feb 2014″,”Mar 2014″,”Apr 2014″,”May 2014″,”Jun 2014″,”Jul 2014″,”Aug 2014″,”Sep 2014″,”Oct 2014″,”Nov 2014″,”Dec 2014″,”Jan 2015″,”Feb 2015″,”Mar 2015″,”Apr 2015″,”May 2015″,”Jun 2015″,”Jul 2015″,”Aug 2015″,”Sep 2015″,”Oct 2015″,”Nov 2015″,”Dec 2015″,”Jan 2016″,”Feb 2016″,”Mar 2016″,”Apr 2016″,”May 2016″,”Jun 2016″,”Jul 2016″,”Aug 2016″,”Sep 2016″,”Oct 2016″,”Nov 2016″,”Dec 2016″,”Jan 2017″,”Feb 2017″,”Mar 2017″,”Apr 2017″,”May 2017″,”Jun 2017″,”Jul 2017″,”Aug 2017″,”Sep 2017″,”Oct 2017″,”Nov 2017″,”Dec 2017″,”Jan 2018″,”Feb 2018″,”Mar 2018″,”Apr 2018″,”May 2018″,”Jun 2018″,”Jul 2018″,”Aug 2018”];

// All prices

var allPrices = balancedPrices.concat(growthPrices, australianPrices, internationalPrices, cashPrices);

// FUNCTIONS

var balancedPoints = calcpoints(balancedPrices, chartHeight, chartWidth);
createchart(balancedPoints, balancedPrices);
createaxes(balancedPrices);

function removeChart(){
var lines = document.getElementsByClassName(“line”);
while(lines.length > 0){
lines[0].parentNode.removeChild(lines[0]);
};
var labels = document.getElementsByClassName(“price-label”);
while(labels.length > 0){
labels[0].parentNode.removeChild(labels[0]);
};
var polyline = document.getElementById(“polyline-id”);
polyline.setAttribute(“points”, “”);
var polylineFill = document.getElementById(“polyline-fill”);
polylineFill.setAttribute(“points”, “”);
};

function report(portfolio){
if(portfolio == “balanced”){
removeChart();
createaxes(balancedPrices);
var balancedPoints = calcpoints(balancedPrices, chartHeight, chartWidth);
createchart(balancedPoints, balancedPrices);
} else if(portfolio == “growth”){
removeChart();
createaxes(growthPrices);
var growthPoints = calcpoints(growthPrices, chartHeight, chartWidth);
createchart(growthPoints, growthPrices);
} else if(portfolio == “australian”){
removeChart();
createaxes(australianPrices);
var australianPoints = calcpoints(australianPrices, chartHeight, chartWidth);
createchart(australianPoints, australianPrices);
} else if(portfolio == “international”){
removeChart();
createaxes(internationalPrices);
var internationalPoints = calcpoints(internationalPrices, chartHeight, chartWidth);
createchart(internationalPoints, internationalPrices);
} else if(portfolio == “cash”){
removeChart();
createaxes(cashPrices);
var cashPoints = calcpoints(cashPrices, chartHeight, chartWidth);
createchart(cashPoints, cashPrices);
};
};

function numberWithCommas(num){
var parts = num.toString().split(“.”);
parts[0] = parts[0].replace(/\B(?=(\d{3})+(?!\d))/g, “,”);
return parts.join(“.”);
};

function dataconvert(prices, dates){
var data = [];
for(var i = 0; i < prices.length; i++){
var datum = {
price: prices[i],
date: dates[i]
};
data.push(datum);
};
return data;
};

function calcdollar(data, startAmt){
var oneData = [];
for(var i = 0; i < data.length; i++){
oneData.push(data[i] + 1);
};
var dollarAmts = [];
var start = startAmt;
var accum = start;
for(var i = 0; i < oneData.length; i++){
accum = oneData[i] * accum;
dollarAmts.push(accum);
};
return dollarAmts;
};

function calcpoints(prices, chartHeight, chartWidth){
var points = [];
var xPoint = 0;
var step = chartWidth / prices.length;
var max = Math.max.apply(null, allPrices);
var min = Math.min.apply(null, allPrices);
var range = max – min;
var firstInterval = range / numAxes;
var interval = 20000;

var minAxis = 60000 // startAmt – (interval * Math.ceil((startAmt – min) / interval));
var maxAxis = 220000 // minAxis + (numAxes * interval);
var axisRange = maxAxis – minAxis;

for(var i = 0; i < prices.length; i++){
if(prices[i] === maxAxis){
var yPoint = 0;
} else if(prices[i] === minAxis){
var yPoint = chartHeight;
} else {
var yPoint = ((maxAxis – prices[i]) / axisRange) * chartHeight;
}
var xandy = {
x: xPoint,
y: yPoint
};
points.push(xandy);
var xPoint = xPoint + step;
};
return points;
};

function createaxes(prices){
var max = Math.max.apply(null, allPrices);
var min = Math.min.apply(null, allPrices);
var range = max – min;
var firstInterval = range / numAxes;
var interval = 20000;

var minAxis = 60000 // startAmt – (interval * Math.ceil((startAmt – min) / interval));
var maxAxis = 220000 // minAxis + (numAxes * interval);
var axisRange = maxAxis – minAxis;

var step = chartHeight / numAxes;
var accum = step;
var d = "";

// DRAW AXES

for(var i = 1; i minAxis; i = i – interval){
accum = accum + step;
var div = document.createElement(“div”);
div.style.position = “absolute”;
div.className = “price-label”;
div.style.left = chartWidth + 5 + “px”;
div.style.top = accum – 12 + “px”;
var commaNum = numberWithCommas(priceLabel);
div.innerHTML = “$” + commaNum;
document.getElementById(“main-chart”).appendChild(div);
priceLabel = priceLabel – interval;
};
};

function createchart(points, prices){

// DRAW CHART LINE

var pairs = [];
for(var i = 0; i < points.length; i++){
var xPoint = points[i].x;
var yPoint = points[i].y;
pairs.push(xPoint);
pairs.push(yPoint);

var chart = document.getElementById("chart");
var point = chart.createSVGPoint();
point.x = xPoint;
point.y = yPoint;
var polyline = document.getElementById("polyline-id");
polyline.points.appendItem(point);
};

// DRAW CHART FILL

for(var i = 0; i < points.length; i++){
var xPoint = points[i].x;
var yPoint = points[i].y;
pairs.push(xPoint);
pairs.push(yPoint);

var chart = document.getElementById("chart");
var point = chart.createSVGPoint();
point.x = xPoint;
point.y = yPoint;
var polyline = document.getElementById("polyline-fill");
polyline.points.appendItem(point);
};

var num = points.length – 1;

var chart = document.getElementById("chart");
var point = chart.createSVGPoint();
point.x = points[num].x;
point.y = chartHeight;
var polyline = document.getElementById("polyline-fill");
polyline.points.appendItem(point);

var chart = document.getElementById("chart");
var point = chart.createSVGPoint();
point.x = 0;
point.y = chartHeight;
var polyline = document.getElementById("polyline-fill");
polyline.points.appendItem(point);

var chart = document.getElementById("chart");
var point = chart.createSVGPoint();
point.x = 0;
point.y = points[0].y;
var polyline = document.getElementById("polyline-fill");
polyline.points.appendItem(point);

var left = 0;
var step = chartWidth / points.length;

// CREATE INTERACTIVE ELEMENTS

for(var i = 0; i < points.length; i++){
var top = points[i].y;
var div = document.createElement("div");
div.id = left;
div.className = "line";
div.style.position = "absolute";
div.style.height = chartHeight + "px";
div.style.width = step + "px";
div.style.left = left – (step / 2) + "px";
div.style.top = "0px";
document.getElementById("chart-container").appendChild(div);

var div = document.createElement("div");
div.className = "cursor";
div.style.height = chartHeight – points[i].y + "px";
div.style.top = chartHeight – (chartHeight – points[i].y) + "px";
div.style.left = "2px";
div.style.position = "absolute";
div.style.zIndex = "2";
document.getElementById(left).appendChild(div);

var div = document.createElement("div");
div.className = "dot";
div.style.position = "absolute";
div.style.top = points[i].y – 7 + "px";
div.style.left = 0 – (step / 2) + "px";
div.style.zIndex = "3";
document.getElementById(left).appendChild(div);

var div = document.createElement("div");
div.className = "label-chart";
div.style.position = "absolute";
div.style.top = chartHeight + "px";
div.style.left = "-50px";
div.style.zIndex = "3";
var num = Math.round(prices[i]);
var commaNum = numberWithCommas(num);
div.innerHTML = dates[i] + ": $" + commaNum;
document.getElementById(left).appendChild(div);

var left = left + step;
};
};

Exchange Traded Funds (ETFs) have become a popular way for investors to gain exposure not only to passive indices but to a range of market factors.

Smart beta ETFs, which follow rule-based strategies to provide factor exposure, are increasingly recommended by financial advisers because they provide a relatively cheap and effective way of meeting specific investment objectives or creating greater diversification.

But while the smart beta concept might seem easily commoditised, there can be significant differences in investment outcomes even among those investment products that appear to offer something very similar.

For example, the below chart shows the performance of three well-known dividend-focused ETFs, each of which seeks to generate above market income. Over the past three years, these ETFs have exhibited markedly different performance despite sharing the same income objective.

Growth of $10,000 over three years

 

 

 

 

 

 

 

 

 

 

Source: Lonsec
IHD: iShares S&P/ASX Dividend Opportunities ETF
SYI: SPDR MSCI Australia Select High Dividend Yield Fund
ZYAU: ETFS S&P/ASX 300 High Yield Plus ETF

In order to understand these diverging results, investors need to get under the hood to see how individual ETFs determine their index construction rules. Differences in how fund managers determine things like the quality, liquidity, and weights of certain stocks can result in funds with very different allocations. The chart below shows the sector breakdown of each fund’s top 10 stock holdings, revealing very different compositions.

Top 10 holdings—sector breakdown

 

 

 

 

 

 

 

 

 

 

Source: Lonsec
IHD and ZYAU holdings as at 15 August 2018. SYI holding as at 31 July 2018

Both the ETFS and iShares products have similar exposure to Financials and Materials, but the ETFS fund has a greater allocation to defensive REITs and Utilities, while the iShares fund has diversified more across other sectors. Its top 10 holdings represent only 62% of its total portfolio value, compared to 75% for the ETFS fund. Meanwhile, the SPDR fund’s top 10 holdings are dominated by Financials, with smaller allocations across Consumer Staples and Materials, and no exposure to REITs or Utilities.

What this means is that financial advisers need to do more than simply ‘read the packet’ when selecting investment products. Financial advisers should have a thorough understanding of how individual smart beta products operate to ensure they deliver outcomes in line with their clients’ investment objectives.

Thank you for joining in the conversation

Thank you for attending this year’s Retirement Symposium and joining in the conversation. We hope you found the insights into why “Not All Income is Created Equal” and an improved understanding of the real-life income needs of retirees will be of benefit in your practice and when building retirement portfolios for your clients. If you want to take another look at what our speakers had to say, you can download the presentation slides here.

Not All Income is Created Equal

It is easy to become complacent when volatility is low and markets continue to rise. However, in an environment of heightened geopolitical uncertainty, a return of volatility is a real risk for retirement portfolios. A cohesive investment strategy, is important. Lonsec believes retirement portfolios should be designed to focus specifically on the retirees’ primary objectives and key risks, namely, Yield, Growth and Risk Control.

To keep the conversation going, we have shared some additional insights with you to draw out some of the themes covered by our speakers.

We hope you enjoyed this year’s Retirement Symposium and we look forward to seeing you at our next event soon.

Insights from our Partners

Alliance Bernstein: The Rise of Populism: Strategic Implications
Challenger: Corporate Bonds – More Risk for Less Return
Invesco: Invesco Senior Secured Loans Strategy
Investors Mutual: Equity Income Fund Factsheet
Lazard: The dangers of drawdown
Pendal: Income & Fixed Interest 
Robeco: Guide to factor investing in equity markets

You can also access the latest retirement insights from our partners here.

Best regards,

Veronica Klaus
Head of Investment Consulting
Lonsec Research

lonsecresearch.com.au
lonsecretire.com.au

 

 

Following an extensive market search, Lonsec is pleased to announce the appointment of Libby Newman to the role of Executive Director of Lonsec Research.

Ms Newman has more than 25 years of experience in investment management and funds research, including most recently as Lonsec’s Head of Manager Research in Melbourne. Since joining Lonsec in 2007, Ms Newman has held several senior research roles covering fixed income and multi-asset funds, and has been a key member of Lonsec’s Investment Committee and Manager Selection Committee, which manage Lonsec’s model portfolios.

Prior to joining Lonsec, Ms Newman spent 10 years as part of the fixed income team managing Suncorp’s insurance mandates, and has experience in operations, investment performance systems and risk management at Suncorp, Abbey National, DST International, and boutique credit arbitrage manager Artesian.

As Executive Director, Libby will lead Lonsec Research’s investment analyst and data analytics teams, supported by the diverse knowledge and experience of Lonsec’s leadership team.

“We are very excited to announce Libby as our new Executive Director of Lonsec Research,” said Lonsec CEO Charlie Haynes. “Libby has developed an intimate understanding of the research needs of financial advisers and is widely respected throughout the industry for her sheer depth of investment product knowledge.”

Ms Newman will step into the new role at a time of growth for the Lonsec Group, which includes superannuation research house SuperRatings. Lonsec’s iRate platform remains number one among financial advisers and dealer groups, while Lonsec’s investment consulting team continues to expand, with a focus on providing bespoke investment solutions.

“The quality of our investment research forms the basis of everything we do at Lonsec,” said Ms Newman. “We are continually evolving our tools to meet the new challenges and opportunities within the financial services industry, and I am excited to be playing a part in that.”

Release ends

IMPORTANT NOTICE: This document is published by Lonsec Research Pty Ltd ABN 11 151 658 561, AFSL 421 445 (Lonsec).

Please read the following before making any investment decision about any financial product mentioned in this document.

Warnings: Lonsec reserves the right to withdraw this document at any time and assumes no obligation to update this document after the date of publication. Past performance is not a reliable indicator of future performance. Any express or implied recommendation, rating, or advice presented in this document is a “class service” (as defined in the Financial Advisers Act 2008 (NZ)) or limited to “general advice” (as defined in the Corporations Act (C’th)) and based solely on consideration of data or the investment merits of the financial product(s) alone, without taking into account the investment objectives, financial situation and particular needs (“financial circumstances”) of any particular person.

Warnings and Disclosure in relation to particular products: If our general advice relates to the acquisition or possible acquisition or disposal or possible disposal of particular classes of assets or financial product(s), before making any decision the reader should obtain and consider more information, including the Investment Statement or Product Disclosure Statement and, where relevant, refer to Lonsec’s full research report for each financial product, including the disclosure notice. The reader must also consider whether it is personally appropriate in light of his or her financial circumstances or should seek further advice on its appropriateness. It is not a “personalised service” (as defined in the Financial Advisers Act 2008 (NZ)) and does not constitute a recommendation to purchase, hold, redeem or sell any financial product(s), and the reader should seek independent financial advice before investing in any financial product. Lonsec may receive a fee from Fund Manager or Product Issuer (s) for reviewing and rating individual financial product(s), using comprehensive and objective criteria. Lonsec may also receive fees from the Fund Manager or Financial Product Issuer (s) for subscribing to investment research content and services provided by Lonsec.

Disclaimer: This document is for the exclusive use of the person to whom it is provided by Lonsec and must not be used or relied upon by any other person. No representation, warranty or undertaking is given or made in relation to the accuracy or completeness of the information presented in this document, which is drawn from public information not verified by Lonsec. Conclusions, ratings and advice are reasonably held at the time of completion but subject to change without notice. Lonsec assumes no obligation to update this document following publication. Except for any liability which cannot be excluded, Lonsec, its directors, officers, employees and agents disclaim all liability for any error, inaccuracy, misstatement or omission, or any loss suffered through relying on the information.

Copyright © 2018 Lonsec Research Pty Ltd, ABN 11 151 658 561 AFSL 421 445. All rights reserved. Read our Privacy Policy here.

Originally published by Investor Strategy News, 12 August 2018

There’s a whole industry that has developed around providing advice for good “leadership”. It’s actually worth billions, this new industry. Someone who doesn’t care too much about the theory but who delivers, to the delight of thousands of Richmond football club supporters each week, is Brendon Gale.

Gale is a keynote speaker at the upcoming SuperRatings and Lonsec ‘Day of Confrontation’ conference in Melbourne on October 30 at the Grand Hyatt.  He is the grandson of a Richmond player who had a handful of games in the 1920s, Jack Gale, and the son of Don Gale, who was a champion of the Tasmanian league. His older brother, Michael, also played for Richmond. Brendon Gale took over the running of the Richmond club in 2010, then at a low point of its illustrious history, and set about rebuilding the club, from membership, then talent, through to its overall culture. His story is interesting on a range of levels.

A good chance to win the premiership again this year, Brendon Gale says that, back in 2010, it was a transformational period where he was trying to turn around a business. His first task was to get the membership numbers up. “I knew we’d lose more matches than we won,” he says, “but we had to build a strong organisational platform. We then had to build a business and make sure that we had enough money to do the things we needed to do. And then, we knew, football success would come.”

He broadened the definition of “success” though. It’s not just about scoring more points than the opposition on any particular day. “We didn’t over-promise to our supporters. We were open and transparent with everything we did,” he says. “People started to take pride again in their memberships and also in our numbers.”

What “success” looks like, he says, is having a “strong premiership club”. This means having a strong culture, being bold and regularly competing for the premiership.

James Kerr wrote a business book called ‘Legacy’ on the culture of the All Blacks, probably the most successful national sporting team in history. A few things stand out:

– “We sweep the sheds”, Kerr wrote about what the All Blacks did, meaning the insistence on humility among senior players. Everyone gets down and does the menial tasks together.

– “Legacy” refers to what the players leave behind after they’ve gone.

– As an aside, and unlike other teams, they banned alcohol or a “beer culture” which began to creep into the team, partly due to sponsorship by Lion Nathan.

– They instilled a sense of pride in every single person who worked for the side – not just the coach and players – from physios to cleaners.

Of course it probably helps if every boy in New Zealand wants to be an All Black and every girl wants to be his girlfriend.

Gale says he has read that book “probably 10 times”. He notes, though, while the All Blacks are certainly a great sporting team, they did “choke” more than once during World Cups. A true competitor, Gale is never going to give too much away to an opposing team, not even one which plays a different code of football.

He agrees with the All Blacks’ insistence on humility among the players – “sweep the sheds”. The mantra for Richmond this year, for instance, is “humble and hungry”.

As a chief executive he is aware that a big football club, such as Richmond, is a diverse business. It’s a consumer business, it’s a media business, it’s a sponsorship business. And then there’s the business of competing every weekend with talented young sportsman trying to win a game of footy.

Gale doesn’t like referring to the players as “kids”. They are “young men”, he says. But, as all fans know, young men who are well paid and full of testosterone tend to get themselves into trouble from time to time. The problem with this is that first-grade footballers are considered role models to the fans, whether they like it or not.

Gale says that in recent years the standards of expected behaviour have increased. There is a lot of public pressure on them, both on and off the field. He says, though: “we are the beneficiaries of the public’s investment in our code”. He expects his young men to behave themselves. And he’d really like them to win the comp.

Important information: Any express or implied rating or advice is limited to general advice, it doesn’t consider any personal needs, goals or objectives.  Before making any decision about financial products, consider whether it is personally appropriate for you in light of your personal circumstances. Obtain and consider the Product Disclosure Statement for each financial product and seek professional personal advice before making any decisions regarding a financial product.