By |Published On: May 7th, 2015|Categories: Uncategorized|

A few weeks ago I wrote an article talking about ways to combine value investing and momentum investing. The high level takeaway from that article was to keep value and momentum as separate exposures. This conclusion was based on ranking firms on their combined value and momentum rankings, which can be described as follows:

  1. Rank all stocks on value
  2. Rank all stocks on momentum
  3. Average the ranks

Here, I want to examine how sequential rankings affect returns. Sequential ranking can be described as follows:

  1. Rank all stocks on value
  2. Within value, rank on momentum
  3. Buy cheap stocks with the highest momentum
  4. Repeat steps 1-3 but start with momentum and then value (so you end up buying the highest momentum stocks that are the cheapest)

We find that sorting stocks on value and then momentum has been a historically successful strategy. However, sorting stocks on value and then quality, which is inline with a fundamental value philosophy, works just as well, if not better. We hypothesize that the “momentum” effect identified within the cheap stocks bucket, is really a proxy for strong fundamentals and positive operational momentum among the cheapest, highest quality value stocks. Our preference–based on empirical and philosophical grounds–is to go with a more “pure” value philosophy that focuses on buying the cheapest, highest quality value stocks, as opposed to a muddled value approach that buys the cheapest, highest momentum value stocks.

Value Investing Portfolio Set-up:

First, let’s set up the experiment. We will examine all non-financial firms above the NYSE 40th percentile for market-cap (currently around $1.8 billion) to avoid weird empirical effects associated with micro/small cap stocks. We will form the portfolios at a monthly frequency with the following 2 variables:

  1. Momentum = Total return over the past twelve months (ignoring the last month)
  2. Value = EBIT/(Total Enterprise Value)

The simple value investing portfolios are formed monthly as follows:

  1. EBIT Decile EW MR = Highest decile of firms ranked on Value (EBIT/TEV). Portfolio is equal-weighted and rebalanced monthly.
  2. EBIT (19/20) EW MR = Split the top decile ranked on Value in two. Keep the the 90%-95% cheapest firms (EBIT/TEV). Portfolio is equal-weighted and rebalanced monthly.
  3. EBIT (20/20) EW MR = Split the top decile ranked on Value in two. Keep the the 95%-100% cheapest firms (EBIT/TEV). Portfolio is equal-weighted and rebalanced monthly.
  4. SP500 EW = S&P 500 equal-weight Total return

Results are gross of management fees and transaction costs. All returns are total returns and include the reinvestment of distributions (e.g., dividends). Transaction costs at a monthly rebalance level could be substantial, but we leave it readers to make a determination on these costs because investors face vastly different trading cost regimes.
Here are the returns (1/1/1974-12/31/2014):

Value Investing Portfolio Results:

value investing portfolio results


The results are hypothetical results and are NOT an indicator of future results and do NOT represent returns that any investor actually attained. Indexes are unmanaged, do not reflect management or trading fees, and one cannot invest directly in an index. Additional information regarding the construction of these results is available upon request.

Takeaways:

  1. Value investing has outperformed over the past 41 years.
  2. Breaking down the top decile into 5% buckets does not improve returns. Deep value works, but over-concentration in cheap stocks simply adds risk, but not return.

Next we turn our attention to momentum investing portfolios.

Momentum Investing Portfolios Set-up:

The simple Momentum Investing portfolios are formed monthly as follows:

  1. MOM Decile EW MR = Highest decile of firms ranked on Momentum. Portfolio is equal-weighted and rebalanced monthly.
  2. MOM (19/20) EW MR = Split the top decile ranked on Momentum in two. Keep the the 90%-95% highest Momentum firms. Portfolio is equal-weighted and rebalanced monthly.
  3. MOM (20/20) EW MR = Split the top decile ranked on Momentum in two. Keep the the 95%-100% highest Momentum firms. Portfolio is equal-weighted and rebalanced monthly.
  4. SP500 EW = S&P 500 equal-weight Total return

Results are gross of management fees and transaction costs. All returns are total returns and include the reinvestment of distributions (e.g., dividends). Transaction costs at a monthly rebalance level could be substantial, but we leave it readers to make a determination on these costs because investors face vastly different trading cost regimes.
Here are the returns (1/1/1974-12/31/2014):

Momentum Investing Portfolio Results:

momentum investing portfolio results


The results are hypothetical results and are NOT an indicator of future results and do NOT represent returns that any investor actually attained. Indexes are unmanaged, do not reflect management or trading fees, and one cannot invest directly in an index. Additional information regarding the construction of these results is available upon request.

Takeaways:

  1. Momentum investing has outperformed over the past 41 years.
  2. Buying the “highest” momentum stocks (top 5%) has marginal effects (higher CAGR, lower Sharpe ratios).

Combining Value and Momentum:

Here we want to combine Value and Momentum by sequentially sorting on the two variables.

First we will split the Momentum decile by Value.

Specifically, here are the 4 portfolios we will examine:

  1. MOM Decile, high EBIT EW MR = Highest decile of firms ranked on Momentum, then split on Value (EBIT/TEV). We keep the top half when sorted on Value. Portfolio is equal-weighted and rebalanced monthly.
  2. MOM Decile, low EBIT EW MR = Highest decile of firms ranked on Momentum, then split on Value (EBIT/TEV). We keep the bottom half when sorted on Value. Portfolio is equal-weighted and rebalanced monthly.
  3. MOM (20/20) EW MR = Split the top decile ranked on Momentum in two. Keep the the 95%-100% highest Momentum firms. Portfolio is equal-weighted and rebalanced monthly.
  4. SP500 EW = S&P 500 equal-weight Total return

Results are gross of management fees and transaction costs. All returns are total returns and include the reinvestment of distributions (e.g., dividends).
Here are the returns (1/1/1974-12/31/2014):

Momentum (and then Value) Investing Portfolio Results:

momentum and then value


The results are hypothetical results and are NOT an indicator of future results and do NOT represent returns that any investor actually attained. Indexes are unmanaged, do not reflect management or trading fees, and one cannot invest directly in an index. Additional information regarding the construction of these results is available upon request.

Takeaways:

  1. Taking the top decile on Momentum and splitting on Value (EBIT/TEV) improves Sharpe and Sortino ratios (Comparing Column 1 to Columns 2 and 3).
  2. On a CAGR basis, the best bet is simply buying the top 5% of firm on Momentum.

Overall, this sequential sort (Momentum and then Value) does not drastically improve simple

Momentum Investing returns.

Next we focus on splitting the Value decile by Momentum.

Specifically, here are the 4 portfolios we will examine:

  1. EBIT Decile, high MOM EW MR = Highest decile of firms ranked on Value (EBIT/TEV), then split on Momentum. We keep the top half when sorted on Momentum. Portfolio is equal-weighted and rebalanced monthly.
  2. EBIT Decile, low MOM EW MR = Highest decile of firms ranked on Value (EBIT/TEV), then split on Momentum. We keep the bottom half when sorted on Momentum. Portfolio is equal-weighted and rebalanced monthly.
  3. EBIT (20/20) EW MR = Split the top decile ranked on Value (EBIT/TEV) in two. Keep the the 95%-100% cheapest firms. Portfolio is equal-weighted and rebalanced monthly.
  4. SP500 EW = S&P 500 equal-weight Total return

Results are gross of management fees and transaction costs. All returns are total returns and include the reinvestment of distributions (e.g., dividends).

Here are the returns (1/1/1974-12/31/2014):

Value (and then Momentum) Investing Portfolio Results:

value and then momentum


The results are hypothetical results and are NOT an indicator of future results and do NOT represent returns that any investor actually attained. Indexes are unmanaged, do not reflect management or trading fees, and one cannot invest directly in an index. Additional information regarding the construction of these results is available upon request.

Takeaways:

  1. Taking the top decile of Value firms and splitting on Momentum improves returns in general. This improves the CAGR, Sharpe and Sortino ratios (Comparing Column 1 to Columns 2 and 3).
  2. Results are similar to other studies.

Overall, it appears that splitting Value by Momentum is a good strategy to follow!
However, such a strategy does require frequent rebalancing, as momentum works best if rebalanced more frequently. This will cause higher transaction costs relative to a long-term buy-and-hold Value strategy.
So an obvious question is the following — Why don’t we integrate momentum in to our Quantitative Value strategy?

The answer is simple: momentum doesn’t increase QV performance, in expectation.

Below, we explain why we do not incorporate momentum into our value algorithm.

Quantitative Value Index Universe Results:

Here we examine how splitting a Value portfolio by Momentum compares to the Quantitative Value results.

As explained here, the Quantitative Value process involves 5 steps. Step 4 requires us to sort firms based on their quality. However, what happens if we replace this step and sort firms by their past Momentum?

We answer this below. It is important to understand that the universe for the results above is slightly different than the results below, as the Quantitative Value process requires firms to have 8 years of data (which is not required above).

Specifically, here are the 4 (annually rebalanced) portfolios we will examine:

  1. QV EW = Portfolio formed using the Quantitative Value process. Portfolio is equal-weighted and rebalanced annually.
  2. QV (High MOM) EW = Portfolio formed using the first three steps of the Quantitative Value process. However, step 4 is changed to pick the top half of firms ranked on Momentum. Portfolio is equal-weighted and rebalanced annually.
  3. QV (Low MOM) EW = Portfolio formed using the first three steps of the Quantitative Value process. However, step 4 is changed to pick the bottom half of firms ranked on Momentum. portfolio is equal-weighted and rebalanced annually.
  4. SP500 EW = S&P 500 equal-weight Total return

Results are gross of management fees and transaction costs. All returns are total returns and include the reinvestment of distributions (e.g., dividends).

Here are the returns (1/1/1974-12/31/2014):

Quantitative Value Index Investing Portfolio Results (Annual Rebalance):

Quantitative Value annual rebalance


The results are hypothetical results and are NOT an indicator of future results and do NOT represent returns that any investor actually attained. Indexes are unmanaged, do not reflect management or trading fees, and one cannot invest directly in an index. Additional information regarding the construction of these results is available upon request.

Takeaways:

  1. Similar to the results above, splitting the top 10% Value firms by Momentum is a good strategy (Comparing Column 2 to Column 3).
  2. However, splitting firms by quality and keeping the top half (QV EW) is optimal when comparing CAGRs, Sharpe and Sortino ratios.
  3. These portfolios are highly correlated.

However, since we know Momentum works best at a monthly rebalance frequency, let’s examine the same portfolios which are rebalanced monthly.

Specifically, here are the 4 (monthly rebalanced) portfolios we will examine:

  1. QV EW MR = Portfolio formed using the Quantitative Value process. Portfolio is equal-weighted and rebalanced monthly.
  2. QV (High MOM) EW MR = Portfolio formed using the first three steps of the Quantitative Value process. However, step 4 is changed to pick the top half of firms ranked on Momentum. Portfolio is equal-weighted and rebalanced monthly.
  3. QV (Low MOM) EW MR = Portfolio formed using the first three steps of the Quantitative Value process. However, step 4 is changed to pick the bottom half of firms ranked on Momentum. portfolio is equal-weighted and rebalanced monthly.
  4. SP500 EW = S&P 500 equal-weight Total return

Results are gross of management fees and transaction costs. All returns are total returns and include the reinvestment of distributions (e.g., dividends).

Here are the returns (1/1/1974-12/31/2014):

Quantitative Value Index Investing Portfolio Results (Monthly Rebalance):

Quantitative Value monthly rebalance


The results are hypothetical results and are NOT an indicator of future results and do NOT represent returns that any investor actually attained. Indexes are unmanaged, do not reflect management or trading fees, and one cannot invest directly in an index. Additional information regarding the construction of these results is available upon request.

Takeaways:

  1. Rebalancing the Value portfolios monthly increases returns. This has been found in other studies. However, this should increase trading costs (which are not included here), and does increase drawdowns.
  2. Similar to the results above, splitting the top 10% Value firms by Momentum is a good strategy (Comparing Column 2 to Column 3).
  3. However, splitting firms by quality and keeping the top half (QV EW MR) is optimal when comparing CAGRs, Sharpe and Sortino ratios.

The last reason we prefer the QV strategy is shown in the table below:

QV and Mom correlations


The results are hypothetical results and are NOT an indicator of future results and do NOT represent returns that any investor actually attained. Indexes are unmanaged, do not reflect management or trading fees, and one cannot invest directly in an index. Additional information regarding the construction of these results is available upon request.

As is shown in the table, the correlation between QV and a generic Momentum portfolio is 57.40%, while the cheap firms split by Momentum have a slightly higher correlation (63.44%). All else being equal, we would prefer to have a lower correlation to Momentum.

Summary

In this article we set out to decide how combining Value and Momentum screens work when using them sequentially. First off, we find that splitting a Momentum portfolio by a Value screen does not appear to add value. However, splitting a Value portfolio by Momentum does add value. So why do we not incorporate this into our Quantitative Value strategy? We show above that splitting Value firms by their Quality score (as outlined in the Quantitative Value book) achieves the highest CAGR and risk-adjusted returns (Sharpe and Sortino ratios). This strategy also has a lower correlation to a simple Momentum strategy. Why would this work? Perhaps investors overlook the quality component of the firm (the quality score may also pick up operational momentum).

One word of caution for all the above results. These are shown gross of fees and transaction costs. Additionally, one must consider the consequences that taxes may have on their portfolio.

Please let us know what you think!

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About the Author: Jack Vogel, PhD

Jack Vogel, PhD
Jack Vogel, Ph.D., conducts research in empirical asset pricing and behavioral finance, and is a co-author of DIY FINANCIAL ADVISOR: A Simple Solution to Build and Protect Your Wealth. His dissertation investigates how behavioral biases affect the value anomaly. His academic background includes experience as an instructor and research assistant at Drexel University in both the Finance and Mathematics departments, as well as a Finance instructor at Villanova University. Dr. Vogel is currently a Managing Member of Alpha Architect, LLC, an SEC-Registered Investment Advisor, where he heads the research department and serves as the Chief Financial Officer. He has a PhD in Finance and a MS in Mathematics from Drexel University, and graduated summa cum laude with a BS in Mathematics and Education from The University of Scranton.

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For informational and educational purposes only and should not be construed as specific investment, accounting, legal, or tax advice. Certain information is deemed to be reliable, but its accuracy and completeness cannot be guaranteed. Third party information may become outdated or otherwise superseded without notice.  Neither the Securities and Exchange Commission (SEC) nor any other federal or state agency has approved, determined the accuracy, or confirmed the adequacy of this article.

The views and opinions expressed herein are those of the author and do not necessarily reflect the views of Alpha Architect, its affiliates or its employees. Our full disclosures are available here. Definitions of common statistics used in our analysis are available here (towards the bottom).

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