Skip to main content

Smart Beta and the portfolio construction puzzle


Smart Beta and the portfolio construction puzzle
  • ETFs are a convenient building block for portfolio construction and there has been a rapid expansion in the number and type of ETFs available.
  • Smart Beta indices so far have been confined to single-asset classes and give an alternative approach to weightings of securities within an index/ETF.
  • Smart Beta strategies are emerging that are multi-asset or multi-factor and give an alternative approach to weightings of indices/ETFs within a portfolio.
  • ETF portfolio strategies can be designed to target specific client outcomes and systematically constructed and adapted to offer a liquid alternative investment approach that is more consistent with real-life market conditions than traditional portfolio construction techniques.
  • The growing range of ETFs and of ETF portfolio strategies available broadens the toolkit available to deliver client outcomes.
The portfolio puzzle
The Rubik’s cube has become a popular metaphor for the marketing teams of ETF providers.  With good reason.  For each client there’s a portfolio construction puzzle to be solved with building blocks, representing geographies, sectors, asset classes, factors and styles.
There has been rapid expansion from providers of ETFs tracking main-market indices, with the largest institutional providers capturing the lion’s share of flows, owing to their ability to deliver on four key ETF governance criteria – consistency, liquidity, transparency and, of course, price.
This means that ETFs for main market cap-weighted indices are increasingly commoditised.  After all, there doesn’t seem to be anything overly smart about replicating market beta, other than the smartness of saving on fees relative to 'closet-tracker' active funds.  Traditional cap-weighted index investing is a preference: either out of philosophy or necessity.
Innovation means smarter?
Hence R&D of institutional investors, index providers and ETF manufacturers alike has focused more on “smart beta”.  This has triggered a slew of innovation – both superficial and substantive.
At a superficial end, age-old alternative weighting strategies (eg value indices that screen stocks for low book values, or dividend-weighted indices) have been rebranded as being “smart”.  In these cases, for “smart” read “non-market-cap weighted”.  In fairness, this rebranding is part of broadening of alternative weighting strategies that are factor-based.
More substantively, research programmes such as EDHEC-Risk Institute’s Scientific Beta have been instrumental in promoting fresh thinking the field of both factor-based and risk-based smart beta strategies.
Factor-based approach
As a result, providers are focusing on making building blocks smarter.  Instead of relying on the ‘traditional’ factor of market capitalisation for index inclusion, smart beta indices (and related ETFs) look at alternative factors: book value, dividend yield, volatility, for example. In that respect, the FTSE Russell 1000 Value Index launched in 1987 is probably the oldest factor index on the block.  More recent factor indices are stylistic: Both iShares (Oct-14) and Vanguard (Dec-15) havelaunched  global equity factor ETFs focusing on Liquidity, Min Volatility, Momentum and Value.  The sophistication of factor-based index construction will continue to increase with the increase in data availability and computing power.
Risk-based approach
Portfolio strategists meanwhile can apply quantitative rules-based approaches to portfolio construction, creating static or dynamic asset allocation strategies from a growing universe of both cap-weighted and alternatively-weighted index tracking funds.  These strategies – such as Maximum Sharpe, Minimum Variance, Equal Risk Contribution and Maximum Deconcentration – offer an alternative to the standard but troubled single period mean variance optimisation (“MVO”) approach.
MVO’s limitations
Single period MVO approach remains the traditional bedrock of very long-run investing in normal market conditions where the sequence of returns does not matter.  However it runs into difficulty in the short-run when markets are non-normal and sequence of returns matters a lot.  So unless you are a large endowment with an infinite time horizons, or perhaps can afford to invest for yourself and your family without ever needing to withdraw any capital, relying entirely on the MVO approach for asset allocation gives false comfort.
For cases where there are constraints that challenge the MVO model - due to multiple or limited time horizons, expected capital withdrawals, risk budgets, and unstable risk/return/correlation profiles of asset classes (collectively known as real life) - portfolio construction requires a smarter, more adaptive approach that observes, isolates and captures the reward from shifting risk premia over time.
Risk-based portfolio strategies attempt to achieve this and are designed to offer a liquid alternative approach to investing that is uncorrelated with traditional Single-Period MVO strategies.
What’s the problem to solve?
Whether assessing factor-based ETFs, or risk-based ETF strategies, at best these new developments seem all very smart. At worst it’s just a bit different.
However, as ETFs get smarter and the strategies that combine them become more sophisticated, there’s a risk that the key question in all of this gets lost in an incomprehensible barrage of Greek.
The key question for portfolio managers nonetheless remains the same. What client outcome am I targeting? What client need am I trying to solve?
For portfolio strategy, whether using a discretionary manager that relies on judgement, or a systematic rules-based approach that relies on quantitative inputs, the key client considerations remain return objective, time horizon, capacity for loss, and diversification across asset classes and/or risk premia.
Broadening the toolkit
A portfolio strategy has little meaning without an objective that focuses on client outcomes.  Factor-based ETFs and Risk-based ETF portfolio strategies offer an alternative or additional set of tools to help deliver on those outcomes, in a way that is systematic, liquid and efficient.

Find out more
ETF Portfolio Strategies for financial advisers.
Learn more at www.elstonconsulting.co.uk

Popular posts from this blog

Market timing is a mug’s game

John Authers’ Long View article in the FT this weekend addresses market timing.  While he claims that just passive investors are such bad timers, we would go further: most are. Attempts to time the market (choosing the right moment to buy or sell into risk assets) are a mug’s game.  Great for brokerages that delight in investors’ fees levied to senselessly overtrade.  Bad for investor’s portfolio outcomes.  Despite the annual survey by Dalbar that investors’ attempts to time the market is really bad for their portfolio, people – including some portfolio managers – still try and have a go. The problem is that in timing the market, we become slaves to our behavioural biases around entry points, and the noise around market sentiment.  An investor fearing Brexit might have – out of emotion – sold everything to cash stocked up on gold sovereigns and run for the hills whilst tracing Irish ancestry.  The smart thing was to acknowledge sterling weakn...

The cost of Marmite, and Brexit’s quiet fear gauge

UK commentators are looking for data points that vindicate the Referendum result one way or the other Sterling’s slide and the FTSE 100 Index level together or in isolation are not the best indicators for a Brexit fear gauge The potential inflationary impact of a ‘hard Brexit’ has caused UK breakeven rates to spike, creating a real challenge for the Bank of England Give me a sign Just as high priests in Roman times, after slaughtering their offering, examined its entrails to gauge the Gods’ favour,  so too have UK commentators been searching for any statistical insight or market data point to declare whether the shock Brexit result is likely to lead to economic success or failure. The data point phoney war The data that has come out since the EU Referendum on 23 rd June 2016 is meaningless as we still don’t know what Brexit looks like.  It’s been a phoney war for headlines, as stunned commentators search for a gauge to measure policymakers by. ...

UK votes for Brexit

UK public votes 52% to 48% to leave the EU: the exit process could take 2 to 4 years. Regional differences will create further constitutional strain on the UK Pound plunging, and expect UK Equities to follow suit. Expect flight to safety away from risk assets as the market digests the potential for structural change. Brexit it is The UK public has voted to leave the European Union after 43 years in yesterday’s referendum. Leave has 51.7% of votes so far with 71.8% turnout (higher than pervious general election) suggests a vote for Brexit by a narrow margin. The leaving process could take a minimum of two years, and even Leave campaigners don’t expect the process to complete until 2020. Opinion polls were too close to call Polling pointed to a closer result and recent momentum for the Remain campaign which had given markets an element of (false) security: the final poll put 45% Leave, 44% Remain, 11% Don’t Know.  While the binary nature of the debate suggested...