Equal Weight: Outperforming three years on

Similar documents
Volatility impacts as investors focus on protecting capital

Diversification paramount Schroders asset allocation survey

A STRAW HOUSE OR BRICK HOUSE? HOW SMART INVESTORS CAN BUILD A SOLID FOUNDATION FOR AN AUSSIE SHARES PORTFOLIO

A STRAW HOUSE OR BRICK HOUSE?

ETF s Top 5 portfolio strategy considerations

Confidential may not be distributed without the consent of BetaShares capital

THE CASE FOR EX20 OCTOBER 2016

An Economic Perspective on Dividends

Seeking higher returns or lower risk through ETFs

Investing in Australian Small Cap Equities There s a better way

Hybrids - Risks, Pitfalls & Opportunities AIA Annual Conference

Why and How to Pick Tactical for Your Portfolio

Optimising Asset Allocation with Exchange Traded Funds (ETFs)

DIVERSIFIED PORTFOLIOS. Investment Menu Dated 1 December 2017

Harbour Asset Management New Zealand Equity Advanced Beta Fund FAQ S

YOUR SMSF INVESTMENT GUIDE

March Company meetings (last year Antares analysts made over 600 meetings with companies) General reading and research.

Dividend Growth as a Defensive Equity Strategy August 24, 2012

DIVIDENDS A NEW PERSPECTIVE

Module 4 Australian ETFs

14 March ASX Limited Market Announcements Office HALF-YEAR FINANCIAL REPORT [FOR RELEASE UNDER EACH ASX CODE LISTED BELOW]

Aspiriant Risk-Managed Equity Allocation Fund RMEAX Q4 2018

7 Essential Tips for Managing Currency Risk

Leverage our expertise in your client s portfolios For adviser use only.

Why Dividends? Market Commentary January 2018

VANECK VECTORS BIOTECH ETF (BBH)

Volatility reduction: How minimum variance indexes work

Business Development Companies

Franklin Bissett Small Cap Fund

in-depth Invesco Actively Managed Low Volatility Strategies The Case for

Calamos Phineus Long/Short Fund

Alternative indexing: market cap or monkey? Simian Asset Management

Tax-Managed SMAs: Better Than ETFs?

Portfolio Construction

STRATEGY OVERVIEW EMERGING MARKETS LOW VOLATILITY ACTIVE EQUITY STRATEGY

Vanguard Investor Index Funds

ARSN June Issued by: Deutsche Asset Management (Australia) Limited ABN AFSL

AltaVista ETF Portfolio: Australian Tactical Allocation

MANAGED ACCOUNT MODEL PORTFOLIO GUIDE. 29 March 2018

Fund Review Betashares Australian Bank Senior Floating Rate Bond ETF

Franklin Bissett Canadian Equity Fund

Why Active Now in U.S. Large-Cap Equity

Performance Attribution: Are Sector Fund Managers Superior Stock Selectors?

The Benefits and Uses of ETFs for the SMSF Investor

SDOG ALPS SECTOR DIVIDEND DOGS ETF VALUE, INCOME, DIVERSIFICATION

How to evaluate factor-based investment strategies

First Quarter 2018 (as of December 31, 2017) The Factor Report. What s driving factor performance?

Man OM-IP AHL Limited

Smart Beta: Why the popularity and what s under the bonnet?

Global Equity Style Premia

A Better Way to Invest in Hybrids: the Case for the BetaShares Active Australian Hybrids Fund (managed fund) (ASX CODE: HBRD)

Focus on preservation of investor capital in down markets. Designed to put investor capital to work during sustained bull markets

Aiming to deliver attractive absolute returns with style

WHITE PAPER GLOBAL LONG-TERM UNCONSTRAINED

MYNORTH RETIREMENT FUND

Separately Managed Account Product Disclosure Statement

Sigma Select Equities Portfolio Issue date: 9 May 2017

Franklin Bissett Canadian Equity Fund

First Trust AlphaDEX TM U.S. Dividend ETF (CAD-Hedged)

A Performance Analysis of Risk Parity

DIVERSIFYING VALUE: THINKING OUTSIDE THE BOX

Capital Idea: Expect More From the Core.

ASTUTE SMA PLATFORM. Approved Product List. Dated 22 December 2015

Rethinking post-retirement asset allocation

Franklin Bissett Canadian Equity Fund

An All-Cap Core Investment Approach

The Merits and Methods of Multi-Factor Investing

For personal use only

Factor-Based Investing

Active management can add big value in small-cap equities

EXCHANGE TRADED FUNDS

Presented by Dr. Nick Motson Associate Dean MSc Program Cass Business School. Smart Beta, Scrabble and Simian Indices

Infrastructure Doesn t Need to be Actively Managed to Outperform

Lonsec Managed Portfolio Balanced Issue date: 26 May 2017

VelocityShares Equal Risk Weighted Large Cap ETF (ERW): A Balanced Approach to Low Volatility Investing. December 2013

Fat Prophets Separately Managed Account

Equity Portfolio Management Strategies

Research Brief. Using ETFs to Outsmart the Cap-Weighted S&P 500. Micah Wakefield, CAIA

MPI Quantitative Analysis

Arnhem Australia+ Portfolio

Minimum Variance and Tracking Error: Combining Absolute and Relative Risk in a Single Strategy

Product Review BetaShares WisdomTree Japan ETF Currency Hedged

Capital Idea: Expect More From the Core.

First Trust AlphaDEX TM U.S. Dividend ETF (CAD-Hedged)

Arnhem Australia+ Portfolio Issue date: 22 December 2017

DIVERSIFIED PORTFOLIOS. Investment Menu Dated 18 January 2016

Sigma Select Equities Portfolio

The Power of Mid-Caps: Investing in a Sweet Spot of the Market

Smart Beta Dashboard. Thoughts at a Glance. January By the SPDR Americas Research Team

Focus on preservation of investor capital in down markets. Designed to put investor capital to work during sustained bull markets

Portfolio construction: The case for small caps. by David Wanis, Senior Portfolio Manager, Smaller Companies

Was 2016 the year of the monkey?

Harbour Investment Funds Statement of Investment Policy & Objectives (SIPO)

A Better Way to Invest in Hybrids: the Case for the BetaShares Active Australian Hybrids Fund (managed fund) (ASX CODE: HBRD)

The benefits of core-satellite investing

ETFS S&P/ASX 300 High Yield Plus ETF. ASX code: ZYAU

STRATEGY OVERVIEW. Long/Short Equity. Related Funds: 361 Domestic Long/Short Equity Fund (ADMZX) 361 Global Long/Short Equity Fund (AGAZX)

Investment report. Products issued by AMP Superannuation Limited January Standard Risk Measure. Notes. Contents. About the Standard Risk Measure

IDOG ALPS INTERNATIONAL SECTOR DIVIDEND DOGS ETF VALUE, INCOME, DIVERSIFICATION

Product Review BetaShares Australian Bank Senior Floating Rate Bond ETF

Transcription:

MVW VanEck Vectors Australian Equal Weight ETF Equal Weight: Outperforming three years on Over the three years since its 214 launch, the first Australian equity equal weight ETF in Australia has outperformed the S&P/ASX 2 by an average of 3.73% per annum. Giving equal weight, or importance, to stocks in a portfolio is a simple alternate approach that has had great success in equity markets around the world for many years. Equal weight investing was introduced to Australian investors in March 214 when VanEck launched its VanEck Vectors Australian Equal Weight ETF on ASX (ASX code: MVW). In the highly concentrated Australian equities market, equally weighting a portfolio delivers investors significantly improved diversification and reduced stock and sector concentration, resulting in superior investment outcomes compared to tracking a market capitalisation weighted index, such as the S&P/ASX 2 Accumulation Index (S&P/ASX 2). There is a large volume of academic and investment industry research that concludes equal weight outperforms market capitalisation for the following reasons: it provides exposure away from mega and larger caps to smaller cap with more growth potential; it provides exposure to value stocks; and it is an inherently contra trading strategy involving frequent rebalancing that takes profits from winners and increases exposure to losers to maintain equal weighting. Consistent with the research, in practice, during the past three years MVW has outperformed the S&P/ASX 2 and done it with less volatility. This paper provides investors with an in-depth look into the overall performance and characteristics of MVW, the impact equal weighting has on stock and sector diversification, performance attribution, volatility, and its risk-adjusted performance. MVW has proven equal weighting is well suited to the highly concentrated Australian equities market, with performance that cannot be ignored. Performance Since inception to 31 March 217, MVW outperformed the S&P/ASX 2 by an average of 3.73% per annum. Table 1: MVW performance 1 Year (%) 2 Years (% p.a.) 3 years (% p.a.) Since MVW inception (% p.a.) MVW 18.75 8.88 11.39 11.12 2.49 4.37 7.53 7.39 Excess -1.75 +4.51 +3.86 +3.73 Inception date is March 4, 214. Source: Morningstar Direct, as at 31 March 217. Results are per annum, calculated daily to the last business day of the month and assume immediate reinvestment of all dividends. MVW results are net of management costs but do not include brokerage costs of investing in MVW. Past performance is not a reliable indicator of future performance. This is not an anomaly. The index MVW tracks, the MVIS Australia Equal Weight Index (MVW) Index, has demonstrated long term outperformance.

Chart 1 below shows the MVW Index has outperformed vs S&P/ASX 2 in 11 of the past 14 calendar years including the last five in a row. Chart 1: Annual Returns of MVIS Australia Equal Weight Index vs 23 to 216 5 4 3 2 1 % -1-2 -3-4 -5 23 24 25 26 27 28 29 21 211 212 213 214 215 216 MVIS Australia Equal Weight Index Source: VanEck, FactSet, as at 31 December 216. Results are calculated to the last business day of the month and assume immediate reinvestment of all dividends and exclude costs associated with investing in MVW. You can t invest directly in an index. Past performance of MVW s Index is not a reliable indicator of future performance of MVW. Characteristics of MVW - Holdings Chart 2 below demonstrates, relative to the S&P/ASX 2, MVW is underweight only the largest mega caps and the very small stocks within the long tail of the S&P/ASX 2. These very small stocks are not included due to liquidity constraints and/or MVW Index s 9% coverage rule. Either way they make a negligible contribution to the performance of the S&P/ASX 2 so their exclusion from MVW is not significant. MVW has a larger exposure than that of the market capitalisation weighted benchmark index for around 8% of its portfolio. The companies in which MVW is overweight may be former small and mid-caps that have grown, they may be large or mega caps that have fallen in size. Importantly these companies have much greater potential for growth or are more likely to be taken over than the largest handful of stocks on ASX. Chart 2: MVW vs S&P/ASX 2 constituent rank and weightings 12% 1% 8% 6% 4% 2% % 1 8 15 22 29 36 43 5 57 64 71 78 85 92 99 16 113 12 127 134 141 148 155 162 169 176 183 19 197 2 S&P/ASX 2 MVIS Australia Equal Weight Index Source: VanEck, Factset, as at 31 March 217

Diversification MVW is better diversified and has lower stock concentration than the S&P/ASX 2. A way to measure diversification of a portfolio is to calculate a Herfindahl Index. This index is a broadly used technique to quantify concentration. When used inversely, this index measures diversification. As at the last rebalance in March 217, the Herfindahl Index for the S&P/ASX 2 was 318. The equivalent measure for the MVW Index was 119. The MVW Index is therefore nearly one-third as concentrated as the S&P/ASX 2. In other words, the MVW Index is nearly three times more diversified than the S&P/ASX 2. Sector weightings One way this better diversification can be clearly seen is in sector allocation. The S&P/ASX 2 has sector weightings close to those of the large and mega cap market. This is because the weight of each sector in the benchmark index at any time is dependent on the total market cap of the stocks in that sector relative to the market cap of the entire index. On the other hand the sector weights of MVW will be determined at each rebalance of the MVW Index. Therefore, MVW will be overweight, relative to the S&P/ASX 2, sectors that contain stocks that are on average smaller than the average stock in the S&P/ASX 2 and will be underweight sectors that contain on average larger than average companies. The charts below illustrate how the sector weightings for the two indices has changed since MVW s inception. Chart 3. MVW Sector breakdown Chart 4. S&P/ASX 2 Sector breakdown 1% 9% 8% 7% 6% 5% 4% 3% 2% 1% % 1% 9% 8% 7% 6% 5% 4% 3% 2% 1% % 4/3/214 3/4/214 3/6/214 29/8/214 31/1/214 31/12/214 27/2/215 3/4/215 3/6/215 31/8/215 3/1/215 31/12/215 29/2/216 29/4/216 3/6/216 31/8/216 31/1/216 3/12/216 28/2/217 3/4/214 3/6/214 31/8/214 31/1/214 31/12/214 28/2/215 3/4/215 3/6/215 31/8/215 31/1/215 31/12/215 29/2/216 3/4/216 3/6/216 31/8/216 31/1/216 31/12/216 28/2/217 Consumer Discretionary Consumer Staples Energy Financial-x-property trusts Health Care Industrials Information Technology Materials Property Trusts Telecommunication Services Utilities [Cash] Source: Factset, 4 March 214 to 31 March 217 Since 214 MVW has been consistently overweight in certain sectors, such as industrials and consumer discretionary, and underweight in financials. However, for other sectors the situation has varied considerably over time. For instance, MVW has sometimes been in line with the S&P/ASX 2 in materials while at other times been as much as 6.75% overweight. MVW has been overweight health care by as much as 1.94% and been underweight by 1.77%. The differences in sector allocation helps explain how MVW performed differently compared to the S&P/ASX 2. The sector contribution performance analysis delivers results in line with these variations. MVW has benefited most from being overweight industrials and property trusts while being underweight financials. Stock selection within materials was also a major contributor to performance, indicating that it was the allocation to small sized companies within this sector that added relative value.

Table 2 Three year attribution of MVW VanEck Vectors Australian Equal Weight ETF S&P/ASX 2 Attribution Analysis (% p.a.) Average Weight Total Return Contrib. To Return Average Weight Total Return Contrib. To Return Allocation Effect Selection Effect Total Effect Total 1 12.22 12.22 1 7.74 7.74 1.13 4.11 5.15 Consumer Discretionary 8.7 18.16 1.67 4.44 9.96.47.17.72.89 Consumer Staples 5.6-2.14 -.2 7.25 3.81.27.16 -.36 -.2 Energy 6.15-6.82 -.66 4.75-9.21 -.68 -.12.15.2 Financials 21.52 11.75 2.41 38.97 8.5 2.93 -.14 1.5.92 Health Care 5.93 2.24 1.29 6.18 18.48 1.15.3.7.1 Industrials 14.25 18.66 3.18 7.31 13.17 1.9.65.82 1.46 Information Technology 1.73 3.46.12.91 5.2.6.1 -.4 -.3 Materials 18.7 11.56 2.37 15.2 2.9.51.21 1.63 1.83 Property Trusts 11.3 16.67 2.26 7.46 2.29 1.63.5 -.3.2 Telecommunication Services 3.59.19.23 5.39 2.8.27.5 -.3.17 Utilities 3.4 23.18.79 2.17 22.1.51.14.3.17 Cash.11 2.22. -- -- -- -.11 -- -.11 Source: Factset, 1 April 214 to 31 March 217. Two factor Brinson attribution. Past performance is not a reliable indicator of future performance Volatility Volatility is often measured by standard deviation in returns, however, for investors negative outcomes or the potential for losses are the true risk they consider. A measure called drawdown is useful for investors to assess this volatility. It demonstrates both the depth of a fall from an historical peak and the pace of the recovery to a new peak. The maximum drawdown is the distance from the highest peak to the deepest valley. Investments that fall less and recover faster are more desirable. Chart 5 below shows the drawdown of MVW versus the S&P/ASX 2 since MVW s inception. In summary: The maximum drawdown of MVW was 13.82% versus the S&P/ASX 2 18.% MVW recovered from its previous low faster than the S&P/ASX 2. Chart 5 Drawdown: MVW vs -5-1 -15-2 5/3/214 4/5/214 3/7/214 1/9/214 31/1/214 3/12/214 28/2/215 29/4/215 28/6/215 27/8/215 26/1/215 25/12/215 23/2/216 23/4/216 22/6/216 21/8/216 2/1/216 19/12/216 17/2/217 MVW Source: Morningstar Direct, as at 31 March 217. Results are calculated daily to the last business day of the month and assume immediate reinvestment of all dividends. MVW results are net of management costs but do not include brokerage costs of investing in MVW. Past performance is not a reliable indicator of future performance.

Chart 6 graphs standard deviation, the traditional volatility measure, of MVW and the S&P/ASX 2. The volatility of MVW, as measured by rolling twelve month standard deviations was generally below the S&P/ASX 2. Chart 7 graphs the beta of MVW versus the S&P/ASX 2. Since its inception MVW has had a beta less than one and was a low as.91. Despite popular belief, there are sustained periods that the price movements of MVW are less volatile than the market index. Chart 6. Standard Deviation: MVW vs S&P/ASX 2 Chart 7. Beta: MVW vs S&P/ASX 2 25 1.5 2 1 % 15 1.95.9.85 5.8.75 Risk adjusted performance The Sharpe ratio combines a return measure with a volatility measure to quantify the relationship between the returns and risk 1. It provides a measure of risk-adjusted performance. As can be seen in Chart 8, MVW consistently has a higher Sharpe ratio than the S&P/ASX 2. This means MVW has a better risk/return trade-off. MVW has delivered better returns without increasing the risk. Chart 8. Sharpe Ratio: MVW vs S&P/ASX 2 3 2 1-1 -2-3 4/3/215 24/3/215 13/4/215 3/5/215 23/5/215 12/6/215 2/7/215 22/7/215 11/8/215 31/8/215 2/9/215 1/1/215 3/1/215 19/11/215 9/12/215 29/12/215 18/1/216 7/2/216 27/2/216 18/3/216 7/4/216 27/4/216 17/5/216 6/6/216 26/6/216 16/7/216 5/8/216 25/8/216 14/9/216 4/1/216 24/1/216 13/11/216 3/12/216 23/12/216 12/1/217 1/2/217 21/2/217 13/3/217 31/3/215 31/5/215 31/7/215 3/9/215 3/11/215 31/1/216 31/3/216 31/5/216 31/7/216 3/9/216 3/11/216 31/1/217 31/3/217 31/3/215 31/5/215 31/7/215 3/9/215 3/11/215 31/1/216 31/3/216 31/5/216 31/7/216 3/9/216 3/11/216 31/1/217 31/3/217 MVW Source: Morningstar Direct, as at 31 March 217. Results are calculated daily to the last business day of the month and assume immediate reinvestment of all dividends. MVW results are net of management costs but do not include brokerage costs of investing in MVW. Past performance is not a reliable indicator of future performance. MVW Source: Morningstar Direct, as at 31 March 217. Results are calculated daily to the last business day of the month and assume immediate reinvestment of all dividends. MVW results are net of management costs but do not include brokerage costs of investing in MVW. Performance is not a reliable indicator of future performance. 1.The Sharpe ratio takes the excess return against a relevant risk-free and divides it by the standard deviation of the return. The risk free rate used is the RBA Cash Rate.

MVW consistently achieved better risk adjusted performance than the S&P/ASX 2. To asses this over a longer time period we calculated 12 month Sharpe ratios of the MVW Index and the S&P/ASX 2 at the end of each month starting with the period ended December 23 and continuing up to the period ended March 217. There are 16 data points. In 117 instances the MVW Index Sharpe ratio is higher. The S&P/ASX 2 Sharpe ratio is higher in only 43 instances. At the data point where MVW Index ratio had its biggest gap over the S&P/ASX 2 ratio, the excess is.75. The biggest gap the S&P/ASX 2 ratio ever had over the MVW Index ratio is.41. The conclusion that can be drawn is that the better returns of MVW Index over the long term, is not the result of greater risktaking. Conclusion Equal weight investing via MVW in Australia has led to significant outperformance since its inception. MVW s outperformance has been achieved due to its unique style, its contrarian trading and its superior diversification, with less risk than the market benchmark index. Based on the evidence of its first three years, MVW is an ideal core investment strategy for a broad based Australian equities exposure. Further support A selection of the independent academic and commercial research that have investigated the reasons that equal weighted portfolios outperform and reinforce it as an alternative passive approach are outlined below: The CSIRO-Monash Superannuation Research Cluster, while researching aspects of our superannuation system including investment practices, found in their paper, Is fundamental indexation able to time the market? Evidence from the Dow Jones Industrial Average(215) that equally weighting a portfolio outperforms market capitalisation because of three factors: 1. higher exposure to smaller stocks rather than to bigger stocks; 2. higher exposure to so-called value stocks meaning those stocks with a high book-to-market ratio; and 3. better market timing i.e. equal weighting extracts more returns when markets are rising and loses less when markets are falling. DeMiguel, Garlappi and Uppal (29) in Optimal versus naive diversification: How inefficient is the 1/N portfolio strategy? - found that out of 14 asset allocation models evaluated across seven empirical data sets, none were consistently better than equally weighting assets in terms of Sharpe Ratio and certainty-equivalent return. Plyakha, Uppal and Vilkov (212) highlighted an equal weighted portfolio s contra trading, finding that its alpha arises from the rebalancing required to maintain equal weights, which is a contrarian strategy. Lajbcygier and Sojka (215) assessed the viability of different indexing methods accounting for all transaction costs using different rebalancing frequencies, trade sizes and fund sizes. For each of the three fund sizes - $5 million fund (small), $1 billion (medium) and $1 billion fund (large) - the equal weight strategy was the best performer in terms of geometric returns and Sharpe ratios. Hamich and Brown (214) provided mathematical proof that equal weight is the portfolio construction approach that gives the best diversification for the long term. Not just better than market capitalisation, but the best possible diversification among any portfolio construction strategy. The University of London s Cass Business School (213) demonstrated the relative inefficiency of market capitalisation weighted indices in a comprehensive which analysed 1 million randomly created portfolios, including equally weighted portfolios. S&P Dow Jones Indices found that equal weight indexing was a harder to beat reference point in its white paper Equal- Weight Benchmarking: Raising the Money Bars (214) and that equal weighting demonstrates long term outperformance in 1 years later: Where in the World is Equal Weight Indexing Now? (213).

Financial Advisers and Brokers Matthew McKinnon Director, Intermediary and Institutions mmckinnon@vaneck.com Nick Jackson Vice President, Business Development njackson@vaneck.com Damon Gosen Vice President, Business Development dgosen@vaneck.com Henry Mortlock Sales Trading and Business Development hmortlock@vaneck.com John Caulfield Vice President, Institutional Business Development jcaulfield@vaneck.com SMSFs and Individual Investors 2 838 33 info@vaneck.com.au Asset Consultants, Researchers and Institutional Investors Matthew McKinnon Director, Intermediary and Institutions mmckinnon@vaneck.com John Caulfield Vice President, Institutional Business Development jcaulfield@vaneck.com Capital Markets Jamie Hannah Vice President, Investments & Capital Markets 2 838 3317 jhannah@vaneck.com Contact us For more information visit vaneck.com.au 2 838 33 Follow us @vaneck_au Important Notice This information is issued by VanEck Investments Limited ABN 22 146 596 116 AFSL 416755 ( VanEck ) as responsible entity of the VanEck Vectors Australian Equal Weight ETF (MVW) ( Fund ). This is general information only and not financial advice. It is intended for use by financial services professionals only. It does not take into account any person s individual objectives, financial situation nor needs. Before making an investment decision in relation to the Fund, you should read the PDS and with the assistance of a financial adviser and consider if it is appropriate for your circumstances. The PDS is available at www.vaneck.com.au or by calling 13 68 38 37. The Fund is subject to investment risk, including possible loss of capital invested. Past performance is not a reliable indicator of future performance. No member of the VanEck group of companies gives any guarantee or assurance as to the repayment of capital, the payment of income, the performance or any particular rate of return from the Fund. MVIS Australia Equal Weight Index ( MVW Index ) is the exclusive property of MV Index Solutions GmbH based in Frankfurt, Germany ( MVIS ). MVIS makes no representation regarding the advisability of investing in the Fund. MVIS has contracted with Solactive AG to maintain and calculate the MVW Index. Solactive uses its best efforts to ensure that the MVW Index is calculated correctly. Irrespective of its obligations towards MVIS, Solactive has no obligation to point out errors in the MVW Index to third parties.