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AgPa #73: Country and Industry Momentum

Can exchange traded funds be used to exploit industry and country momentum? (2013)
Laura Andreu, Laurens Swinkels, Liam Tjong-A-Tjoe
Financial Markets and Portfolio Management, URL/SSRN

Even if you believe in factor investing, it is very difficult for most investors to actually implement it. Trading portfolios with hundreds of stocks requires considerable infrastructure, enough money, and efficient transaction cost management. This is already a challenge for many institutional investors, so it is logically even more difficult for people like you and me. This week’s AGNOSTIC Paper addresses this issue and presents an idea to still benefit from momentum via equity indices and the corresponding ETFs.

  • Country and industry momentum worked historically
  • The strategies seem to be implementable via ETFs
  • The strategies remained profitable after trading costs

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AgPa #69: Rebalancing Luck

Fundamental Indexation: Rebalancing Assumptions and Performance (2010)
David Blitz, Bart van der Grient, Pim van Vliet
The Journal of Index Investing Fall 2010, 1(2), URL/SSRN

This week’s AGNOSTIC Paper is already more than 10 years old, but still carries a very important message. The core idea is very simple. If you design an investment strategy, you must make decisions about rebalancing. There are two aspects to consider. How much and when. This week’s authors examine the when at the example of fundamental indices. They show that choosing arbitrary rebalancing date(s) introduces substantial luck or bad luck to a strategy. Even more important, this luck or bad luck doesn’t seem to cancel out over time and thus permanently affects real-world returns. Fortunately, however, there are ways to make yourself less dependent from rebalancing luck…

  • Different rebalancing dates lead to different outcomes
  • Rebalancing luck (or bad luck) is relevant and persistent
  • There is a solution: stretch rebalancing over the year

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AgPa #49: Machine Learning in Quant Asset Management

How Can Machine Learning Advance Quantitative Asset Management? (2023)
David Blitz, Tobias Hoogteijling, Harald Lohre, Philip Messow
The Journal of Portfolio Management Quantitative Tools 2023, URL/SSRN

This week’s AGNOSTIC Paper is a broad overview about machine learning in investment management. The authors outline the benefits and pitfalls of machine learning compared to “traditional” econometrics and present several use cases in the world of (quantitative) asset management. They also provide ideas for research governance to keep those powerful methods under control.

  • Benefits and pitfalls of machine learning in finance
  • Use cases of machine learning in asset management
  • Keeping it under control: research governance and protocol

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AgPa #47: Equity Factors without Shorting

When Equity Factors Drop Their Shorts (2020)
David Blitz, Guido Baltussen, Pim van Vliet
Financial Analysts Journal, 76(4), URL

This week’s AGNOSTIC Paper examines the important issue of performance contributions from the long and short legs of the major factor premiums. In English: can we profitably invest in factors without shorting a large number of stocks?

  • The long-legs of factors are more important than the short-legs
  • The same pattern holds in international markets

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AgPa #44: Betting against Quant – Thematic Indices

Betting against Quant: Examining the Factor Exposures of Thematic Indexes (2021)
David Blitz
The Journal of Beta Investment Strategies Winter 2021, URL/SSRN

This week’s AGNOSTIC Paper examines a recent trend in the asset management industry: thematic indices. The sales pitch is simple. With a thematic index you can easily invest in the “next big things”. Artificial intelligence, aging population, e-sports and gaming, healthcare breakthroughs – just name your buzzword and you will find an investment product for it. This week’s paper is among the first that examine such thematic investments through the lens of the major factor premiums.

  • Thematic indices are more volatile and have higher betas than the overall market
  • Thematic indices tend to hold expensive, low-quality stocks with neutral momentum
  • There are still reasons why thematic indices exist

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AgPa #42: Global Factors since 1800

Global factor premiums (2021)
Guido Baltussen, Laurens Swinkels, Pim van Vliet
Journal of Financial Economics 124(3), 1128-1154, URL

This week’s AGNOSTIC Paper is another out-of-sample test of the major factors and goes even further back in time than the last one. The authors examine the major factor premiums among equity indices, government bond indices, currencies, and commodities in a sample that ranges from December 31, 1799 to December 31, 2016.

  • Momentum, Value, and Low-Risk “worked” globally, in different asset classes, and out-of-sample
  • There is little evidence for factor decay

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AgPa #41: US Factors before 1926

The Cross-Section of Stock Returns before CRSP (2023)
Guido Baltussen, Bart van Vliet, Pim van Vliet
SSRN Working Paper, URL

This week’s AGNOSTIC Paper is an unprecedented out-of-sample test of the four major factors (Momentum, Value, Low-Risk, Size). The authors construct a novel dataset of US stocks that reaches from 1866 to 1926. It therefore extends the extensively studied CRSP dataset by 60 years.

  • Momentum, Value, and Low-Risk were there before 1926
  • Factors weren’t stronger before 1926
  • Machine learning models find the same factors

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AgPa #4: Measuring the World’s Assets (2/2)

Historical Returns of the Market Portfolio (2019)
Ronald Doeswijk, Trevin Lam, Laurens Swinkels
The Review of Asset Pricing Studies 10(3), 521-567, URL

This is the second post on the global market portfolio and again examines two papers. It is designed to be a sequel, so I recommend to read the first part before.

The global market portfolio is a tough empirical challenge. Different methodology leads to different results and the papers disagree on several points. But there are some common insights that enhance our understanding of the market portfolio.

  • Most assets are not publicly traded
  • Stock markets are relatively small
  • Recent historical returns were 4.4% to 6.3% per year
  • The market portfolio is a good starting point

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