AgPa #77: Too Much Passive Investing?

The Rise of Passive Investing and Active Mutual Fund Skill (2023)
Da Huang
SSRN Working Paper, URL

This week’s AGNOSTIC Paper is a quite recent working paper that examines the impact of passive investing on the US stock market. The debate about a potential tipping point when too many assets go passive is ongoing and often quite emotional. Depending on who you ask, you hear everything from “fundamentally broken” markets to the idea that we only need very few skilled active managers who compete for all the alpha. This week’s paper provides some interesting theoretical and empirical results on that matter.

  • Passive investing in the US grew tremendously
  • Passive investing forces unskilled managers to quit
  • Surviving active managers have more skill, but take less risk
  • We are probably not yet at the point of too much passive

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AgPa #35: Rethinking Active Management

Measuring skill in the mutual fund industry (2015)
Jonathan B. Berk, Jules H. van Binsbergen
Journal of Financial Economics 118(1), 1-20, URL/SSRN

From several of my earlier articles you may (correctly!) gained the impression that I am somewhat skeptical about the value-add of most (not all!) active fund managers. However, an excellent episode of the Rational Reminder Podcast featuring Jonathan Berk and Jules van Binsbergen convinced me of another perspective. This week’s AGNOSTIC Paper summarizes their work…

  • Alpha and outperformance alone do not measure skill
  • The average active manager added value – $3.2M per year
  • Investors identify and reward value-adding active managers
  • Active managers still overcharge – net alphas are negative

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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 #17: European Fund Selection

Fund Selection: Sense and Sensibility (2022)
Guido Baltussen, Stan Beckers, Jan Jaap Hazenberg, Willem Van Der Scheer, CFA
Financial Analysts Journal, 78(3), 30-48, URL

Coincidentally, this week’s AGNOSTIC Paper is a pretty good sequel to the last one. The authors study the performance of globally investing mutual fund that were available for European investors between 2008 and 2020. The results are seamlessly consistent with the literature and are anything but a sales-pitch for active fund managers…

  • In aggregate, active managers underperformed the passive alternative
  • Cheap funds with good track records were more likely to outperform

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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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AgPa #11: Concentrated Stock Markets (2/7)

Long-Term Shareholder Returns: Evidence from 64,000 Global Stocks (2021)
Hendrik Bessembinder, Ta-Feng Chen, Goeun Choi, K.C. John Wei
SSRN Working Paper, URL

The second of seven AGNOSTIC Papers about the extreme concentration within stock markets. This one goes beyond the US and examines global stock markets between 1990 and 2020. The pattern of extreme concentration is very similar for 41 countries beside the US and in some cases even stronger.

  • Longer investment-horizons lead to extremer return distributions – also outside the US
  • Just 2.4% of all companies created the entire net wealth in global stock markets
  • All stock markets are concentrated but there are regional differences

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