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How to Improve the Returns Capture of All Factors in a Multi-Factor ETF

I have been a bit disturbed over some work & personal stuff, so I didn’t have the bandwidth to think about anything much.

For this Sunday’s piece, I decided to meditate over this research slide deck that I came across.

Over the past few months, one of the core positions that I have built up was the iShares Edge MSCI World Multifactor UCITS ETF (IFSW). This is an exchange-traded fund listed on the London Stock Exchange.

The fund’s objective is to capture the market risk, size, value, quality and momentum factors. The fund does this by mirroring the holdings of the MSCI World Diversified Multiple-Factor Index.

The fund costs is a bit expensive with a total expense ratio of 0.50%. In contrast, the other single factor ETF would cost around 0.30%.

A few days ago, I came across this consultation presentation which outlines a proposal to make certain adjustments to the MSCI Diversified Multiple-Factor (“DMF”) Index Methodology. This slide deck is dated April 2021.

I don’t know whether they would announce whether they will make the change or not but I felt that its pretty cool they are transparent enough to present this to the public.

At least we can have a glimpse about some of the inner working of the multiple-factor index.

Why do they propose the changes?

MSCI optimise the index so that the index can maximise the target factors (size, quality, value, momentum) that the index tries to capture.

But they find that from Dec 2014 to Nov 2020, while the target factors were able to contribute positively to the returns of the index, there was some negative stock-specific contribution that pulled down the performance.

The backtested result (including longer periods) shows that this negative stock-specific contribution was much more muted.

In the last 3 years, some of the key target factors underperform. Together with these negative stock-specific contributions, the overall performance of the MSCI DMF Indexes was not good.

To give you some context, here is IFSW’s performance versus the MSCI World ETF IWDA:

IFSWIWDA
2021 YTD12.79%10.18%
202010.70%15.95%
201921.64%27.76%
2018-11.76%-8.65%
201726.18%22.45%
20164.97%7.73%

This proposal is to highlight how they can make tweaks to improve the implementation.

This interesting slide shows the performance attribution of the diversified multiple-factor (DMF) index from 2000 to 2020.

The DMF index delivered a compounded average growth of 9.28% a year. Out of this, 6.38% a year was attributed to the market-risk factor (mainly capturing the MSCI World return) and 2.89% a year is due to active management.

Bulk of that return can be pointed to the individual style metrics such as book-to-price, earnings yield, size, momentum, profitability.

Quite interesting that index outperformance by a multiple-factor index can be traced to so many different metrics.

The last three years have not been great for the DMF indexes.

There were negative premiums for size and value. What also hurt was that momentum, which did well in the past three years, was not successfully captured in the index.

High factor intensity led to high relative performance and higher stock specific risk.

So they decide to propose some changes.

MSCI broke down the explanation into a few groups, so that we can visualize the effect of each proposals.

Proposal Group 1: Use a more recent data model

The first proposal group sought to address why momentum was not able to pick up successfully. They proposed to use more recent data, as opposed to data that is end-of-the-month.

Momentum is a rather sensitive factor and by using more recent data might allow the index to pick up the stocks with strong positive price momentum that does not decay so fast.

They also propose normalizing the size and momentum factor exposure.

In this slide, MSCI presented 4 variations to the World DMF based on these proposals. I would not go into each of those variations but you can see that all 4 have higher total return for the 6 year period from 2014 to 2020.

The Sharpe ratio and Information ratio is higher as well. (Note: The information answers two important questions: #1 did the manager outperform the benchmark, in this case the World DMF and #2 can the manager outperform the benchmarket consistently? A higher information ratio is bette.)

Proposal Group 2: Better targetting of factors and Increasing rebalancing frequency

The second proposal group of change sought to increase the rebalancing frequency to quarterly so as to factor more recent information. Another proposal is also to control the minimum and maximum exposure to each of the factors.

The last proposal is to control the size factor, which sought to minimize the negative stock specific risk that have pulled down the DMF index in the past three years.

This table above is slightly different from the previous one in that we are comparing this group of proposed changes (those highlighted in the top red box) to the MSCI World instead of the MSCI World DMF over the past 6 years.

Firstly, we can see the underperformance of the World DMF versus the MSCI World.

Most of the changes will realign the performance to be better if we live through the same six years of performance again. The Sharpe ratio and Information Ratio is higher, but not by a lot.

Proposal Group 3: Controlling the Concentration into Smaller Size Stocks

Finally in proposal group 3 sought to reduce the concentration to certain size segments such as mid cap and small cap and also to penalize the specific risk component of estimated total risk.

Honestly, I have no idea how this is going to be done.

While the total return, Sharpe Ratio and Information Ratio improved with the proposals, I cannot help but noticed that with the proposals, the DMF index would still not fair as well as a market capitalization weighted MSCI World Index for the past 3 years.

Returns of the Proposals Versus MSCI World Returns Over the Past 2 Decades

The table above tries to sum up the proposals by looking at the back-test data not in the past six years but from 2000 to 2020.

With some of these proposal, the total return is still better than the MSCI world and world DMF index over this 21 year period.

The Sharpe and Information ratio is higher with not much noticeable incrase in portfolio turnover.

However, somehow I noticed from the table below that while we can improve the 5-year and 10-year performance and improve the world DMF performance, in the short term, the proposals cannot beat the MSCI World index in the past three years.

Summary

The slide deck gave me a glimpse of the thought process behind how these factor funds are implemented.

While everyone can say that they aim to capture this premium or that premium, in reality, different implementations can give different results.

I feel that it is good MSCI are proactive in trying to optimize the factors to capture, this can be misinterpreted as curve-fitting or trying to reverse engineer, come up with “tweaks” so as to beat the index over this six years period.

Ultimately, the accepted tweaks should show that they can effectively capture the target factors over various market cycles.

This slide deck also shows the challenges in trying to balance the factor capture in a multiple factor strategy.

Is investing in such a factor ETF worth it?

If we based on the performance of the past 3 years, or the past 6 years, it would be stupid to invest in a multiple-factor ETF.

However, investing in such an ETF means I have to subscribe to a methodology that while the methodology may not work so well at times, over the long run, there is empirical evidence that returns would perform better than the parent index.

My view is that, in the worse case, the multiple factor ETF do equal or slightly worse than the parent index, but in the baseline case, the ETF is able to capture returns greater than the parent index.

That looked like a good bet to take.

I would probably change if I could find a better implementation or when I see evidence that fund flows or some other factor have permanently reduced the potential factor premiums drastically.

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