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    Post: 1027 February 23rd, 2016

    A Vanishing Value Premium?

    Weston Wellington
    Vice President, Dimensional Fund Advisors

    Value stocks underperformed growth stocks by a material margin in the US last year. However, the magnitude and duration of the recent negative value premium are not unprecedented. This column reviews a previous period when challenging performance caused many to question the benefits of value investing. The subsequent results serve as a reminder about the importance of discipline.

    Measured by the difference between the Russell 1000 Growth and Russell 1000 Value indices, value stocks delivered the weakest relative performance in seven years. Moreover, as of year-end 2015, value stocks returned less than growth stocks over the past one, three, five, 10 and 13 years.

    Unsurprisingly, some investors with a value tilt to their portfolios are finding their patience sorely tested. We suspect at least a few will find these results sufficiently discouraging and may contemplate abandoning value stocks entirely.

    Total Return for 12 Months Ending 31 December 2015
    Russell 1000 Growth Index: 5.67%
    Russell 1000 Value Index: −3.83%
    Value minus Growth: −9.49%

    Before taking such a big step, let’s review a previous period when value strategies underperformed to gain some perspective.

    As many growth stocks and technology-related firms soared in value in the mid- to late 1990s, value strategies delivered positive returns but fell far behind in the relative performance race. At year-end 1998, value stocks had underperformed growth stocks over the previous one, three, five, 10, 15 and 20 years. The inception of the Russell indices was January 1979, so all the available data (20 years) from the most widely followed benchmarks indicated superior performance for growth stocks. To some investors, it seemed foolish for money managers to hold “old economy” stocks like Caterpillar (−3.1% total return for 1998) while “new economy” stocks like Yahoo! Inc. appeared to be the wave of the future (743% total return for 1998).

    Many value-oriented managers counselled patience, but for them the worst was yet to come. In 1999, growth stocks shone even brighter as value trailed by the largest calendar year margin in the history of the Russell indices—over 25%.

    Total Return for 1999
    Russell 1000 Growth Index: 33.16%
    Russell 1000 Value Index: 7.36%
    Value minus Growth: −25.80%

    In the first quarter of 2000, growth stocks bolted out of the gate and streaked to a 7% return while value stocks returned only 0.48%. As at 31 March 2000, value stocks had underperformed growth stocks by 5.61% per year for the previous 10 years and by 1.49% per year since the inception of the Russell indices in 1979. AWall Street Journal article appearing in January profiled a prominent value-oriented fund manager who regularly received angry letters and email messages; his fund shareholders ridiculed him for avoiding technology-related investments. Two months later he was replaced as portfolio manager amidst persistent shareholder redemptions.

    With value stocks falling so far behind in the relative performance race, it seemed plausible that value stocks would need a lifetime to catch up, if they ever could.

    It took less than a year.

    By November 2000, value stocks had delivered modestly higher returns than growth stocks since index inception (21 years, 11 months). By month-end February 2001, value stocks had outperformed growth over the previous one, three, five, 10 and 20 years and since-inception periods.

    The reversal was dramatic. Over the period April 2000 to November, value stocks outperformed growth stocks by 26.7% and by 39.7% from April 2000 to February 2001.

    This type of result is not confined to the technology boom-and-bust experience of the late 1990s. Although less pronounced, a similar reversal took place following a lengthy period of value stock underperformance ending in December 1991.

    We can find similar evidence with other premiums:

    • From January 1995 to December 1999, the annualised size premium was negative by approximately 963 basis points (bps), amounting to a cumulative total return difference of approximately 113%. Within the next 18 months, the entire cumulative difference had been made up.

    • From January 1995 to December 2001, the annualised size premium was positive by approximately 157 bps.

    The moral of the story?

    Prices are difficult to predict at either the individual security level or the asset class level and dramatic changes in relative performance can take place in a short period of time.

    While there is a sound economic rationale and empirical evidence to support our expectation that value stocks will outperform growth stocks and small caps will outperform large caps over longer periods, we know that value and small caps can underperform over any given period. Results from previous periods reinforce the importance of discipline in pursuing these premiums.

    Post: 886 August 28th, 2015

    NZ fixed income – should investors choose funds or direct holdings?

    Financial advisers and private client advisers at banks and broking firms have a long history of buying fixed interest securities as direct holdings for their clients. However, over recent years there has been a shift in behaviour, with fixed interest funds increasingly becoming the solution of choice.

    So, what are the pros and cons of each option, and what criteria should matter most to investors?

    In this article we discuss a range of criteria, and provide some insights gained from our activities in the domestic fixed interest market.

    Does the investment provide the risk and return exposure that is sought, given the investor’s risk appetite and investment objectives?

    Investors tend to seek fixed interest as an asset class for its traditional characteristics of income, as well as capital stability. They do this because fixed interest tends to offset the volatility experienced by shares. To offset share volatility effectively, fixed interest investments should be made up exclusively of investment grade bonds (rated between AAA and BBB- on the S&P scale). When share prices fall investors tend to flock to Investment grade securities, pushing up their price. Their price rise offsets the price fall in shares. This cannot be relied on with high yield securities, as investors discovered with the New Zealand finance company collapses.

    Here’s the important point – to raise the likelihood of fixed interest investments providing capital stability, diversification is required. An investor who utilises individual securities rather than a fund will likely be limited to only a small number of issuers. In a concentrated portfolio, default, or a significant downgrade by a single issuer, can severely undermine returns at the time the portfolio needs those returns the most.

    Again, the failure of finance companies in New Zealand from 2007 – 2010 is a reminder of both the pitfalls of sub-investment grade securities and, in many cases, poor diversification.

    For example, below we show the returns of our New Zealand equity strategy in 2007 and 2008 (the heart of the Global Financial Crisis) and a blended portfolio of 50% equities and 50% fixed interest. Note that all returns listed below are after relevant investment management fees.

    2007 -4.26% 2.54% -0.99%
    2008 -27.73% 15.51% -7.92%
    Total return -16.98% 9.83% -4.52%

     

    All returns are net of investment management fees but gross of advice, custodial and transaction costs. Past performance is not indicative of future results. For details on our NZ equity and fixed interest strategy please see consiliumnz.co.nz/disclosure-statement. This clearly shows the potential of a properly diversified investment grade portfolio of fixed interest to offset the volatility of shares at exactly the right time.

    Can investors achieve diversification in New Zealand fixed income?

    While global fixed interest markets offer significantly greater scope for diversification, it is also possible to achieve a reasonable degree of diversification in New Zealand. It is easier to do this with a fund rather than by selecting direct securities. This is because there are some corporate issuers that only issue to the wholesale market, meaning retail investors cannot buy these securities. If we exclude small local authorities, there are over 90 different issuers available to wholesale investors in New Zealand. Of these, only around 30 can be bought by retail investors directly.

    Another challenge for buying New Zealand fixed interest directly is opportunities to invest in new issues. As the number of securities in New Zealand is limited, new issues are very important. A fund can more flexibly and easily add new issues into a broadly diversified portfolio because it can accommodate varying maturity dates and credit qualities. Those buying direct will naturally have more specific maturity, issuer and credit quality requirements, meaning that new issues cannot be easily incorporated into their portfolio.

    What costs are involved?

    Of course, there is a management fee cost to owning a fund. We pay less than 0.40% for our direct New Zealand fixed interest funds. It’s worth noting that investing in fixed interest via a managed fund actually lowers costs in two important (but often unaccounted for) ways. Firstly, funds pay lower brokerage costs to transact on the exchange, and secondly, funds simply pay less for the same bond via a narrower bid/offer spread for trades not dealt on the exchange. We estimate that these savings are around 0.25% at the time of purchase.

    Are there other benefits from professional management?

    Fund managers may also be able to add some additional value to help offset their costs. This will vary across funds, depending on the capabilities of the fund manager and the design and investment approach of the fund. As an example, for the three years to June 2015 the Harbour NZ Corporate Bond Fund has generated about 0.12% p.a. of added value over the ANZ Corporate Investment Grade Bond Index, before costs. The relevant issue is perhaps not the 0.12% cost offset, but that no investor buying bonds directly could ever hope to achieve the diversification of the ANZ Corporate Investment Grade Bond Index without incurring very high transaction and monitoring costs. The fact that Harbour can do so, and add a little something back, is a great benefit to investors.

    Even if you don’t believe that managers can add value through professional management, their research resources may help avoid the accidents that can occur in small, poorly researched portfolios.

    Can term deposits be a solution?

    Term deposits (TDs) often provide a higher running yield than a bond fund (after fees) or direct securities (after costs). There is a good argument for holding some exposure to TDs, but they also have different characteristics. Investors typically choose short maturity TDs, of less than one year, because of the severe penalties that occur with early withdrawal. The short length of the TDs may offset the potential added return. To underline this issue, the Reserve Bank and APRA, the Australian regulator, have required Australian banks, and their New Zealand branches or subsidiaries, to tighten up the conditions under which investors can break a TD before maturity. This lack of liquidity may be a problem at times for investors.

    Secondly, since TDs have no price mechanism, they do not increase in capital value at times when shares fall, meaning we lose some of the diversification benefit we are seeking through fixed interest securities.

    What am I paying my adviser to be an expert in – financial planning or bond markets?

    The Code of Professional Conduct requires an authorised financial adviser (AFA) to “make recommendations only in relation to financial products that have been analysed by the AFA to a level that provides a reasonable basis for any such recommendation, or analysed by another person upon whose analysis it is reasonable, in all circumstances, for the AFA to rely.” In our experience, it is a challenge for most advisers to bring together the expertise and resources required to satisfy this requirement in relation to directly held securities. In our view advisers are, and should be, experts in financial planning rather than experts in fixed interest markets. Those who try to be both risk doing both to a lesser standard.

    There are several factors to consider when choosing between funds or direct investments in New Zealand fixed interest. Financial planners are accustomed to using funds for investing in equities and overseas asset classes. We believe the underlying investment characteristics of an appropriate fund can be a better proposition than direct securities, due to a fund’s ability to achieve diversification, liquidity and benefit from professional management.

    We’d like to thank Harbour Asset Management’s Mark Brown for his assistance with this article.

    Important notice and disclaimer

    This commentary is given in good faith and has been prepared from published information and other sources believed to be reliable, accurate and complete at the time of preparation but its accuracy and completeness is not guaranteed. Information and any analysis, opinions or views contained herein reflect a judgement at the date of preparation and are subject to change without notice. The information and any analysis, opinions or views made or referred to is for general information purposes only. To the extent that any such content constitutes advice, it does not take into account any person’s particular financial situation or goals, and accordingly, does not constitute personalised financial advice under the Financial Advisers Act 2008, nor does it constitute advice of a legal, tax, accounting or other nature to any person. The bond market is volatile. The price, value and income derived from investments may fluctuate in that values can go down as well as up, and investors may get back less than originally invested. Past performance is not indicative of future results, and no representation or warranty, express or implied, is made regarding future performance. Bonds and bond funds carry interest rate risk (as interest rates rise, bond prices usually fall, and vice versa), inflation risk and issuer credit and default risks. To the maximum extent permitted by law, no liability or responsibility is accepted for any loss or damage, direct or consequential, arising from or in connection with this document or its contents. No person guarantees the performance of funds monitored by Consilium NZ Limited.

    Post: 727 July 13th, 2015

    A simple explanation of volatility and prices

    The value of shares goes up and down a lot, and all this volatility creates uncertainty for investors.  It’s not very clear, for most investors in shares, exactly what the value of their share portfolio will be at any point in the future.

    We’ve been asked why shares are so volatile.  Hopefully this explanation will help.

    Shares represent ownership in business.  Shareholders have a claim on the profits the business makes – these profits are paid out as dividends, or reinvested into the company in order to grow future profits.

    The most basic model of valuing shares takes both of these inputs – dividends and growth (by growth, we mean growth in profits) – and combines them in an equation to form a price.

    The model states that Price (P) equals the next dividend (D1) divided by my required return (r) minus my expected growth (g).

    Put together, the model looks like this:

    A simple explanation of volatility and prices

    Let’s try out the model.  We’ll say next year’s dividend is going to be $0.25 per share.  Let’s say I require a 10% return on my investment to make it worth my while, and let’s also say I expected dividends to grow at 4% per year into the future.

    The model would say the price =equation1

    An investor with the assumptions above would be willing to pay $4.17 for shares.

    Now, let’s alter the growth assumptions.  We’ll run one scenario where growth is 3% and another where it’s 5%.

    5% growth:equation2

    3% growth:equation3

    A 1% change in growth doesn’t seem like a big deal – the company is profitable in either case – yet a 1% increase in the growth projection translated into a $0.83/$4.17 = 20% increase in price.  A 1% fall in the growth projection caused a 14% fall in price.

    The point of this is to illustrate that changes in projections about future growth (even small ones) can cause big changes in prices.  In the real world, there’s a lot of disagreement about the growth potential of businesses.  This disagreement is good, as it creates willing buyers and sellers.  When buyers and sellers come to some agreement that growth prospects have improved or worsened, prices will move pretty quickly to adjust.

    Should you only invest in businesses with high projected growth?

    One conclusion you may be tempted to make is to only invest in businesses with high growth forecasts.

    That would be the wrong conclusion.

    One thing this model points out to us is that an investor should really be indifferent between an investment with 3% growth, an investment with 4% growth and an investment with 5% growth.

    Why?

    In each case, the price adjusts, so an investor could expect roughly the same return with any of the three growth projections.  What this means is that great companies are not always great investments, and bad companies are not always bad investments.  The important thing to consider is what you are paying to invest in either.  At the right price, you are indifferent.  In fact, evidence suggests that investments with low prices provide higher returns over the long run, even though they often have low growth projections.  This is probably because these companies have poor prospects and investors require higher returns (a higher r from the equation above) to own them.  At any rate, the model helps us understand why this would be the case.

    Hopefully this has helped you understand why markets concern themselves so much with growth, and why prices can move so much and so quickly, as well as.  It should also have explained why price movements are so important.  They reset the investment equation so that firms with very different growth potential are actually comparable investments.

    How would prices change if growth projections stayed constant?

    While the above is useful, it may leave you with the impression that growth rates have to increase for you to get a positive return on your investment.

    That isn’t the case.  Prices will still increase in a world where there is no change in growth projections.

    Why?

    Let’s say that growth doesn’t change.  It stays at a forecasted 4%.  What would happen to prices in that world?

    Even in that case we can expect prices to appreciate because of two things:

    • In this world, you received the dividend
    • In this world, you achieved the forecasted growth

    If growth was 4%, next year’s dividend would not be $0.25.  It would be $0.25 plus 4% growth.  It would be $0.26.

    Doing the same equation as above, a business with a $0.26 dividend, 4% projected growth and 10% required rate of return would translate into a price of $4.33.  That’s around a 4% increase from $4.17.

    equation4

    You then add your dividend yield to this gain, which is the dividend divided by the price.

    equation5

    Add them together: 4% (capital gain) + 6% (dividend yield) = 10% (return).

    Thus, in the default world the price will go up every year, and you’ll get that 10% return every year.  Of course, we also know that rarely occurs.  Economic cycles, business decisions, interest rates and a host of other things each year influence the prospects of businesses to grow profits.  And, if both buyers and sellers agree that growth projections have changed, prices will change quickly to reflect this fact.

    By looking at investments this way you can see why shares have an expected return, where that return comes from and that it does not require improvements in forecasted growth to achieve the expected return.

    Post: 171 March 15th, 2015

    Active versus passive – the debate is over

    Active versus passive – the debate is over

    At Consilium, we believe a growing body of evidence has moved us past the traditional active vs. passive debate. The best evidence comes from the US where the research has been collected and mostly aptly documented. The traditional debate contrasts an index fund, representing the passive camp, and an active equity or hedge fund, representing the active camp.

    A widely publicised wager between Warren Buffett and a hedge fund manager called Protégé Partners illustrates the point.  Buffett bet that that the Vanguard S&P 500 (a passive index type fund) would beat a selected group of hedge funds over a 10 year time horizon.  So far the Vanguard fund is up 43.8%, compared with the hedge fund’s gain of just 12.5% since the bet was made.

    Buffett’s backing of the S&P 500 was primarily an argument about the significance of cost minimisation not philosophy.  In his 2013 Berkshire Hathaway letter to shareholders, Buffett said he had instructed his estate to put 90% of his funds into the Vanguard S&P 500 and 10% in cash.  Here’s his rationale:

    “Both individuals and institutions will constantly be urged to be active by those who profit from giving advice or effecting transactions.  The resulting frictional costs can be huge and, for investors in aggregate, devoid of benefit.  So ignore the chatter, keep your costs minimal…”

    This observation, from one of the greatest stock pickers in history, suggests that one does not necessarily need to agree with a passive investment philosophy to observe the weight of the evidence.  The evidence shows, overwhelmingly, that investors are not rewarded by the high costs of active investment management.

    When Russell Kinnel, director of research at Morningstar, attempted to identify the number one predictor of performance for investment managers, his findings also made a compelling argument in favour of low cost investing.

    “If there’s anything in the whole world of mutual funds that you can take to the bank, it’s that expense ratios help you make a better decision.  In every single time period and data point tested, low-cost funds beat high-cost funds…  Investors should make expense ratios a primary test in fund selection.  They are still the most dependable predictor of performance.”  Russell Kinnel, Morningstar FundInvestor, vol. 18, no. 12 (August), p 1 – 3.

    The second part of the debate focuses on persistence in performance.  Every study of the persistence of active managers to deliver outperformance (and there have been plenty) shows that, once you control for risk, there is no statistically meaningful performance persistence.

    To illustrate simply, Vanguard conducted a study in which they ranked all US equity funds in terms of excess return versus their stated benchmark over the five years ending 2008.  They divided the funds into quintiles, separating out the top 20% of funds.  They then tracked the performance of those top 20% of funds over the following five years through December 2013 to check for persistence.  If the top quintile funds displayed any meaningful performance persistence, we would expect a significant majority to remain in the top 20% five years later.  A random outcome would result in about 20% of the funds dispersed evenly across the five quintiles.

    Active versus passive – the debate is over2

    The results were close to random.  Only 12% of funds repeated a top quintile performance, while 28% moved to the bottom quintile.

    If costs really matter and performance persistence by active managers cannot be counted on, is there a reliable way outperform markets?

    This is where we depart from the traditional passive vs. active discussion.  Considerable research shows that low cost shares (based on a combination of fundamental ratios), small company shares and profitable company shares exhibit higher returns than the market over long periods of time.  The figure below compares long term value, small cap, growth and total market indices for various markets.

    Active versus passive – the debate is over3

    Both value and small cap segments of the market outperform total market and growth.  The implications of this are that not every share has the same expected return.  This is probably because shares incorporate unique systematic risks, for which prices and market capitalisation are merely a proxy.  And there are other proxies beyond just these two.  The question is how to invest in shares with a higher expected return.  Do we pay a manager to pick what he believes are the best of the bunch?  Two problems arise with this approach – the manager’s fee (evidence shows this is not money well spent) and also that we lose some of the virtually costless benefits of diversification.

    Passive investors can defeat both of these problems.  They can use very low cost and highly diversified funds to access these sources of higher expected returns in a way that adds long term value over broad market benchmarks and peers.

    In everything we do, the core of the argument is always evidence.  We want to see evidence – evidence that has some statistical relevance; evidence that is persistent across time periods, pervasive across markets and has a sound economic rationale to it.  We want to see evidence that ideas don’t work merely in theory or on paper, but can produce results after considering the costs of management, transactions and taxes.  The problem with active management as it’s traditionally described is that the evidence simply doesn’t stack up.

    As for the debate about active vs. passive… If it’s purely an argument based on conjecture and opinion, it will probably never end.  However, if evidence counts for anything, we think this debate was settled a long time ago.Active versus passive – the debate is over4

    Post: 167 March 15th, 2015

    Tactical Asset Allocation

    A consideration of the evidence

    Short summary of our position on tactical asset allocation

    According to Vanguard, “Tactical asset allocation (TAA) is a dynamic strategy that actively adjusts a portfolio’s strategic asset allocation (SAA) based on short term market forecasts.  Its objective is to systematically exploit inefficiencies or temporary imbalances among different asset or sub-asset classes.”

    Evidence shows that this approach has failed to deliver on its promised benefits, so we choose to take a different approach.  Rather than time our moves out of expensive asset classes and sectors, we continuously tilt our portfolios towards relatively inexpensive assets, higher returning smaller companies, and profitable companies.  In short, we believe in a consistent and robust process over the crystal ball approach.

    We take the following common sense steps to achieve many of the promised benefits of TAA, without the unnecessary risk:

    • We provide continuous exposure to assets with higher expected return in a cost effective manner.
    • We invest in over 40 countries and 8,000 securities, from the outset reducing exposure to any one country, sector or company that may be problematic.
    • We work with advisers to ensure the overall portfolio can achieve the client’s objectives by a comfortable margin.  We recommend reducing risk when it isn’t necessary and increasing it when it is, subject to achieving the financial objective.
    • We work with advisers to rebalance portfolios regularly, selling assets with recent good performance and buying assets with recent lower performance.

    More detailed explanation of tactical asset allocation

    In our view, TAA is simply market timing within a constrained or set portion of the whole portfolio.

    For example, an institution may have an SAA of 60% equities and 40% fixed income, but utilisation of TAA may allow the equity allocation to vary between 50% and 70% and the fixed income allocation to vary between 30% and 50%.  This is equivalent to saying that 80% of the portfolio will have a 60/40 allocation, and market timing will be performed with the remaining 20%.  For institutional investors, TAA occurs at two levels – investment consultants allocating funds among different asset class managers and investment fund managers allocating funds among different asset classes and sub-asset classes.

    It is our position that TAA is a futile exercise because market timing and style picking are unproductive at best, and potentially destructive at worst.

    TAA is normally built on models that rely on ‘signals’ to determine when to go heavy on one asset class, at the expense of another.  A well known example is the ‘Fed Model’, which compares the earnings yield on equities to the yield on 10 year treasury bonds.  If the earnings yield (the inverse of the price-to-earnings ratio) on the S&P 500 were to fall below the 10 year treasury yield, a manager utilising TAA based on the Fed Model would interpret this difference as a clear signal to favour fixed income at the expense of US equities.  The Fed Model, like all the other models used for market timing, has repeatedly been shown to be unreliable in both the short term and the long term.  For further details, see Asness, Clifford, “Fight the Fed Model”, Journal of Portfolio Management, Fall 2003.

    TAA at its heart involves predicting the returns of shares, called equities, and dividing a portfolio up between shares and fixed interest based on these predictions.  In one of the most complete research papers of its type, called “A Comprehensive Look at The Empirical Performance of Equity Premium Prediction”, Drs Ivo Welch and Amit Goyal examine 22 common models of TAA and market timing.  They make the following conclusion:

    “Our article comprehensively re-examines the performance of variables that have been suggested by the academic literature to be good predictors of the equity premium.  We find that by and large, these models have predicted poorly both in-sample (IS) and out-of-sample (OOS) for 30 years now; these models seem unstable, as diagnosed by their out-of-sample predictions and other statistics; and these models would not have helped an investor with access only to available information to profitably time the Market”

    One problem with trying to read market sentiment for timing purposes is that sentiments can endure for years at a time.  As John Maynard Keynes famously remarked, “The market can remain irrational longer than you can remain solvent.”

    The reason why all these models are unreliable is so simple that it is easily overlooked.  In three words, prices are fair.  This means that every asset class has thousands of intelligent and informed people opining daily on the risks of the asset class in general, and all the securities contained in the asset class in particular.  As a result of the discovery process, prices are set so that buyers can expect a return that is commensurate with the risk they assume.  If an institution (or a consultant acting on its behalf) decides that an asset class is overvalued and thus should be pared back, the party taking the other side of the trade has the full expectation that they will be compensated appropriately for the risk they are taking.  There is absolutely no reason for the institution or the consultant to assume that it has special proprietary knowledge that the rest of the market is lacking.

    Now that our theoretical objections to TAA have been outlined, it would be useful to examine how mutual funds built on TAA have performed.

    In a Wall Street Journal article from 2/11/2012, “How Practical is Tactical?“, Jason Zweig looked at 42 mutual funds and exchange traded funds with “tactical” in their name, based on Morningstar data.  These funds were up 6.9% as of the date of his article – an average of five percentage points less than the various indexes they follow, according to Morningstar.

    Over the past three years, these funds have gained an annual average of only 4.9%, or more than six points a year behind their benchmarks.  A ‘tortoise portfolio’, which holds a steady 60% in US stocks and 40% in bonds, is up an annual average of 11% over the same period, more than twice the tactical funds’ average return.

    Mr Zweig reminds us that two thirds of the tactical funds didn’t exist before the financial crisis erupted in 2008.  The terror of watching stocks lose 60% in value during the crisis was the driving factor for these products, and Wall Street was happy to accommodate this demand.

    Supporting this finding, long term research by Index Funds Advisers found that only four of 21 TAA funds with over 20 years of history (based on data collected by Morningstar) had outperformed a buy-hold and rebalance strategy of funds very similar to those used by us.  Of course, this study didn’t include funds that had gone out of business during that time period.

    As far as the ability of investment consultants to add value by moving funds from one manager to another, this myth was completely debunked in “Absence of Value: An Analysis of Investment Allocation Decisions by Institutional Plan Sponsors” (Financial Analysts Journal, Nov/Dec 2009).  The authors evaluated over 80,000 investment decisions by trustees and consultants who oversee and advise on plans (typically large scale pools of retirement funds or endowments in the United States).  As the chart below shows, in only two out of 18 years did plan sponsor decisions to move assets from one manager to another add value.  The authors estimate that over $170 billion of investment value was destroyed over the period (1984 to 2007).

    Tactical Asset Allocation

    To summarise, TAA is simply one more attempt by big banks and others to package up luck and sell it as skill.  Investors are better off with a sensible strategic allocation of low cost funds that reflects an appropriate risk level.  Market timing and style picking should never be utilised for either a portion or the whole of a portfolio.

    Post: 197 March 15th, 2015

    Market timing: a picture is worth a thousand words

    They say a picture is worth a thousand words.

    We could easily spill a thousand words on market timing.

    We could talk about how each trade involves a willing buyer and seller; each with equal interests, each with the same access to information.

    We could talk about the fact that, over about 85 years, the S&P 500 has only gone up 51.02% of the days.

    We could talk about the concentrated nature of returns.  We could show that being out of the market, and missing the best month each year, drops returns by about 7% per year.

    We could talk about a psychologist from Berkeley, named Philip Tetlock – who studied over 82,000 varied predictions, by 300 experts from different fields, over 25 years – and concluded that expert predictions barely beat random guesses.  Ironically, the more famous the expert, the less accurate his or her prediction tended to be.

    We could talk about Nobel Prize winner Bill Sharpe’s contention that timers need to be right 74% of the time, to overcome the frictions and costs of their moves.

    We could talk about magazine covers, like the Death of Equities, that featured just before five years of 14.44% average compound returns for the S&P 500.

    We could talk about how studies – ranging from the landmark paper by Brinson, Beebower and Hood, to the most recent study on New Zealand managed funds – have found that the average contribution of market timing to returns is negative.

    We could talk about a study of 1,557 managed funds and 210 institutional funds, where the author concluded timing ability of managers is, on average, negative.

    We could talk about how the majority of market timing newsletters underperform the market.  We could talk about how, on average, market timing newsletters underperform the market by over 4.00%.

    We could talk about how the market timing gurus whose calls are tracked have less than 50% accuracy.

    We could talk about evidence that shows economists can’t time markets either.

    We could talk about how the predictive power of last year’s return, to correctly forecast this year’s return, is 0.01%.

    We could talk about the wise words of Warren Buffett, who said, “The only value of (share) forecasters is to make fortune tellers look good.”

    We could talk about the simple logic that all market timing calls offset each other.  If you buy, someone must sell.  If you sell, someone must buy.

    We could talk about a lot of things.

    Or…

    We could show you this picture of monthly returns and simply ask you to find the pattern.

    Market timing- a picture is worth a thousand words

    Wishing you the very best of luck…

    Post: 195 February 4th, 2015

    If I pick a winning manager, aren’t I likely to beat the market?

    Recently in New Zealand a few star managers have had brilliant runs, easily outperforming markets since inception.

    Why on earth would an investor not want to use these funds for their New Zealand share allocation?

    We have a lot of respect for what star performers have done.  It’s not easy to produce exceptional performance.  But for all their glory, the websites of the star performers provide us with the answer to the question above… “Past performance is no guarantee of future returns.”

    When asked a question about a star investment manager we typically respond with a question of our own, “Would you believe that this is a very well studied issue?”

    Many academic, peer reviewed papers have been written on the question of whether or not we can simply allocate money to a fund that has a good record, and expect to beat the market in the future.  It’s a topic that has been researched across different time periods, different countries and different asset classes.

    The findings of these studies are just as the disclosure statement suggests – past performance is no guarantee of future returns.

    Perhaps we would put it more strongly: the evidence shows that past outperformance tells you next to nothing about future outperformance.

    Below, we summarise two of the many papers on this subject, one from the United States and one from New Zealand.

    In 1997, Dr Mark Carhart published “On Persistence in Mutual Fund Performance” in the Journal of Finance.  This paper addresses the exact question posed above.  Does the good performance of investment managers persist?  Can I select a manager with good records and expect to beat the market?

    To answer this question, Carhart uses a comprehensive database of 1,892 equity (share) funds from the period 1962 – 1993.  Regarding the comprehensive nature of his data, he states, “the data… include all known equity funds over this period.”

    The author summarises his conclusions on the persistence of investment managers’ performance this way:

    “Common factors in share returns and investment expenses almost completely explain persistence in equity mutual funds’ mean and risk-adjusted returns… The only significant persistence not explained is concentrated in strong underperformance by the worst-return mutual funds.  The results do not support the existence of skilled or informed mutual fund portfolio managers.”

    In other words Dr Carhart is saying that, once he accounts for types of investment risk taken by the manager, investment managers beat the market in the future only by chance.

    In New Zealand there is only one published study we are aware of that analyses the persistence of New Zealand investment managers.  In 2006 Bauer, Otten and Tourani Rad published “New Zealand mutual funds: measuring performance and persistence in performance” in Accounting and Finance.

    This study reviewed a sample of 143 mutual funds for the time period 1990 – 2003.  Their results show that performance in New Zealand mutual funds does not persist more than luck alone can explain.  The authors conclude:

    “It has to be noted that the documented persistence in performance is mainly driven by icy hands, instead of hot hands indicating that funds that underperform (significantly negative alpha) in one period are most likely to underperform in the next period.  Investors should therefore avoid these funds.  However, evidence of persistently out-performing funds (significantly positive alpha) is absent.”

    In summary, the paper finds no evidence that an investor can reliably outperform markets in the current period by selecting a fund that outperformed markets in the last period.

    It is probably helpful to get away from the academic articles for a moment and just look at some practical examples.

    There are businesses like Morningstar dedicated to rating funds.  Their proprietary research goes beyond mere performance and looks to identify quality in investment management and investment approaches.

    Morningstar gives their best rated funds five stars, while the worst funds get one star.  If anyone is going to find a winning fund manager, it’s Morningstar.

    Yet their record is in performance prediction is abysmal.  A recent study looked at the 248 managed funds that Morningstar rated five stars in 1999 to see how they had performed over the ensuing decade.

    The chart below shows the story.  A decade later only 4 out of 248 funds were still five stars, and 87 funds had gone out of business.  The average return of a Morningstar five star fund over the 10 years was worse than the average return of all other funds put together.

    If I pick a winning manager, aren’t I likely to beat the market?

    The data here corresponds to a study by Paul Gerrans published in the academic journal Accounting and Finance entitled “Morningstar ratings and future performance”.

    Dr Gerrans found that:

    “By far the strongest case to mount is that of no significant difference between relative rating and future performance…. if an investor is looking to the star for guidance, this analysis suggests that they might be better served examining information on fees, which over the period of analysis appear greater on average than ratings differentials and are far more certain.”

    So we can see Morningstar is likely no guide.

    Below we look at all the funds monitored by Morningstar from 2004 to 2008 in the US Large Cap Blend asset class and ranked them from the very best performing fund to the very worst performing fund.  Thanks to Index Fund Advisors (www.ifa.com), we can see how this looks in graphic form using the top chart from the figure below.

    The bottom chart shows the performance of those same funds from 2009 – 2013, keeping the same ordinal ranking as the top chart.  There’s no real pattern, other than perhaps, on average, the badly performing funds in the first period did better in the second period.

    It’s no wonder top academic researchers have told us that past performance does not persist and is no guide in selecting fund managers.

    In another study, Vanguard ran a test to show the practical implications of this research, where they compared two strategies that investors may employ.  The first they called “performance-chasing” and the second, “buy-and-hold”.  For the performance-chasing strategy they randomly selected a fund in the top 50% of peers over the past three years. If the fund ever fell below the top 50% they would replace it randomly with another fund of the same asset class in the top 50%.  In other words, this strategy was always holding a fund in the top 50% of peers based on three years of historical data.   For the buy-and-hold strategy they picked a fund at random, regardless of performance history, and held it through thick and thin.

    They ran this experiment over and over again, across several asset classes.  Below we see the median result for all nine asset classes they tested.  Buy-and-hold crushed performance-chasing.

    The Vanguard study picked funds at random.  In the real world, funds aren’t picked at random.  Pension funds, for example, spend quite large amounts of money on consultants to help them pick the funds that are likely to be winners in the near future.  Another study published in the Journal of Finance looked at pension funds in the United States.  The study showed very clearly that the investment managers selected by these pension funds had very impressive track records.  They produced excess returns (fancy talk for beating the pension’s existing funds) by 4% – 9% in the years before the pension funds selected them.

    The study was on how the funds performed after they were selected.

    The answer?  The fired funds beat the hired (or selected) funds!  The first year the fired beat the hired by 0.49%; the second year by 0.88% and the third year by 1.03%.  Why?  Because past performance is no guarantee of future performance.  The results of the study are illustrated below.

    What can we learn from this evidence?  If persistence in performance is mostly random, then picking managers on the basis of good track records is likely to:

    • Increase costs and therefore reduce our expected return
    • Reduce the certainty we achieve that return

    Neither of these results are in the best interests of investors.

    None of this is to take away from the achievements of star managers with great recent performance.  But it does mean that we don’t believe that their performance, impressive as it is, forms a basis on which we can conclude it is likely to persist in the future.

    So what qualities and characteristics can you use to prudently select investment managers?  We’ll cover that next time.

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