Equity

AgPa #24: Market Capitalization vs. GDP

The big bang: Stock market capitalization in the long run (2022)
Dmitry Kuvshinov, Kaspar Zimmermann
Journal of Financial Economics 145(2), 527-552, URL

This week’s AGNOSTIC Paper is admittedly not very practical but probably more relevant today than ever before. The authors examine the outstanding performance of equity markets since the end of the inflationary 1970s and early 80s. A regime shift that they call the big bang. There are some surprising results, especially beyond the general debate about steadily falling interest rates…

  • The Big Bang: market capitalization detached from GDP growth after the 1980s
  • Most of the Big Bang comes from higher stock prices
  • Falling interest rates are surprisingly not the main driver
  • Higher profitability of listed firms is much more important

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AgPa #23: Trading on the Weather

Global weather-based trading strategies (2022)
Ming Dong, Andréanne Tremblay
Journal of Banking & Finance, Volume 143, 106558, URL/SSRN

People tend to be in a better mood when the sun is shining. That’s nothing dramatically new but this week’s AGNOSTIC Paper shows that this apparently also applies to investors. An investment strategy that went long (short) the stock market index from the country with the best (worst) weather on a particular day generated meaningful (hypothetical) outperformance…

  • The global long-short weather strategy returned 15.2% p.a. between 1993 and 2012
  • The long-only version of the strategy returned 13.4% p.a.

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AgPa #21: AI-Powered vs. Human Funds

Do AI-Powered Mutual Funds Perform Better? (2022)
Rui Chen, Jinjuan Ren
Finance Research Letters, Volume 47, Part A, URL/SSRN

This week’s AGNOSTIC Paper compares the performance of AI-powered- and human mutual funds between 2017 and 2019 in the US. Although AI-powered funds are not the holy grail some investors may have hoped for, they still added value compared to their human peers…

  • AI-powered mutual funds did not outperform the US market
  • But AI-powered funds outperformed their human peers
  • And AI-powered funds avoided the disposition- and rank effect

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AgPa #20: Performance of ESG Exclusions

The Expected Returns of ESG Excluded Stocks. The Case of Exclusions from Norway’s Oil Fund (2022)
Erika Berle, Wanwei (Angela) He, Bernt Arne Ødegaard
SSRN Working Paper, URL

This week’s AGNOSTIC Paper examines the ESG exclusions of a popular investor: the Norwegian sovereign wealth fund, also known as the “oil fund”. Between 2005 and 2021, the fund excluded 189 companies that engage in different types of “bad” practices or products. These exclusions are interesting because they reveal insights about the impact of ESG for a large real-world institutional investor…

  • ESG-excluded stocks generated up to 6.85% alpha per year
  • There seems to be a return premium on “bad” stocks

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AgPa #18: ESG Confusion (1/2)

ESG Rating Disagreement and Stock Returns (2021)
Rajna Gibson Brandon, Philipp Krueger, Peter Steffen Schmidt
Financial Analysts Journal 77(4), 104-127, URL/SSRN

This week’s AGNOSTIC Paper is about a quite controversial topic: Environmental, Social, and Governance a.k.a. ESG. ESG refers to the idea that investors should consider those dimensions in their decisions and thereby contribute to a more sustainable economy. But as this week’s paper shows, there is little agreement on what ESG actually is…

  • ESG ratings disagree: the average correlation is just 0.45
  • There is less ESG disagreement for larger, more profitable firms with credit ratings
  • Investors demanded a risk premium for ESG uncertainty

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AgPa #16: Concentrated Stock Markets (7/7)

Mutual Fund Performance at Long Horizons (2022)
Hendrik Bessembinder, Michael J. Cooper, Feng Zhang
SMU Cox School of Business Research Paper No. 22-11 via SSRN, URL

The seventh and final AGNOSTIC Paper on the extreme concentration in stock markets. This one is an out-of-sample test and documents very similar concentration and positive skewness for US mutual funds between 1991 and 2020.

  • Longer investment-horizons lead to extremer return distributions – also for mutual funds
  • Most active managers underperform passive benchmarks – especially over the long-term
  • Compared to the S&P 500, mutual fund investors lost about $1.3T between 1991 and 2020

But a picture is worth a thousand words…


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AgPa #15: Concentrated Stock Markets (6/7)

Extreme Stock Market Performers, Part I: Expect Some Drawdowns (2020)
Hendrik Bessembinder
SSRN Working Paper, URL

The sixth of seven AGNOSTIC Papers on the extreme concentration in stock markets. This one shows that even for the top wealth-creators, the road to success has been anything but smooth…

  • Even the best companies during their best decades had substantial drawdowns
  • Today’s drawdowns of tomorrow’s winners are even worse

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AgPa #14: Concentrated Stock Markets (5/7)

Extreme Stock Market Performers, Part IV: Can Observable Characteristics Forecast Outcomes (2020)
Hendrik Bessembinder
SSRN Working Paper, URL

The fifth of seven AGNOSTIC Papers on the extreme concentration in stock markets. This one will finally examine how to identify the few big winners ex-ante (at least it will try). Future winners have some distinct fundamental characteristics today. That said, the picture remains noisy and it’s very difficult to find them systematically…

  • Future top-performers tend to be younger, produce higher drawdowns, and spend more on R&D
  • Future wealth-creators tend to be older, more levered, and pay higher dividends
  • Identifying big winners remains challenging

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AgPa #13: Concentrated Stock Markets (4/7)

Extreme Stock Market Performers, Part III: What are their Observable Characteristics? (2020)
Hendrik Bessembinder
SSRN Working Paper, URL

The fourth of seven AGNOSTIC Papers about the extreme concentration in stock markets. This one goes one step further and examines the fundamental characteristics of big winners ex-post. The main insight is quite intuitive: outstanding stock performance usually comes with outstanding fundamental performance of the underlying company…

  • Big winners grow faster, are more profitable, and have smaller drawdowns
  • Observable fundamentals still explain relatively little

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AgPa #12: Concentrated Stock Markets (3/7)

Extreme Stock Market Performers, Part II: Do Technology Stocks Dominate? (2020)
Hendrik Bessembinder
SSRN Working Paper, URL

The third of seven AGNOSTIC Papers about the extreme concentration within stock markets. This one examines the industry composition of the most and least successful companies between 1950 and 2019 in the US. Unfortunately, just looking at industries is not really helpful to identify the few big winners…

  • The Tech-Industry is not as dominant as it seems at first glance
  • There is (unfortunately) not “the one” industry to look at

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