USA

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 #10: Concentrated Stock Markets (1/7)

Do stocks outperform Treasury bills? (2018)
Hendrik Bessembinder
Journal of Financial Economics 129(3), 440-457, URL

I try to be careful with superlatives, but I think that this week’s AGNOSTIC Paper(s) are a must-read for everyone seriously interested in stock markets.

A few very successful companies drive the entire US market while the majority of stocks underperform even risk-free treasuries. Moreover, the most frequent lifetime return for U.S. companies is -100%. Those brutal empirical facts have strong implications for investors.


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AgPa #8: Neuroscientific Insights for Alpha

Harnessing Neuroscientific Insights to Generate Alpha (2022)
Elise Payzan-LeNestour, James Doran, Lionnel Pradier, Tālis J. Putniņš
Financial Analysts Journal, 78(2), 79-95, URL

We are all prone to psychological biases that are very hard to control. This week’s AGNOSTIC Paper examines the after-effect, one particular example for this.

The idea of the after-effect is simple. If you are long enough exposed to a certain stimuli, you will have the illusion of the exact opposite stimuli after the first one disappears. Apparently, this pattern was very relevant for the US stock market…

  • The after-effect distorted the VIX Index
  • Exploiting the after-effect yielded significant alpha

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AgPa #6: Predicting Returns with (Alternative) Consumer Data

Predicting Performance Using Consumer Big Data (2022)
Kenneth Froot, Namho Kang, Gideon Ozik, Ronnie Sadka
The Journal of Portfolio Management 48(3), 47-61, URL

This week’s AGNOSTIC Paper is again more related to my other content. The authors use proxies for in-store activity, brand awareness, and web traffic to predict fundamentals and returns of consumer-oriented companies.

I like the paper because it examines alternative data and is published in a peer-reviewed journal. Other studies on the topic are often just white papers of data providers. So it is nice to have a more scientific analysis.

  • Alternative consumer-data predicts firm fundamentals
  • Trading on alternative consumer-data generated monthly alphas of up to 1.9%

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AgPa #2: What Moves Stock Prices?

What Moves Stock Prices? The Role of News, Noise, and Information (2022)
Jonathan Brogaard, Thanh Huong Nguyen, Talis J. Putnins, Eliza Wu
The Review of Financial Studies, Forthcoming, URL

This week’s AGNOSTIC Paper attempts to answer a very fundamental question: What drives the day-to-day volatility of stock prices? Of course, there are many things active at the same time. News about the underlying businesses, news about the economy, market impact of large investors, and various more.

The authors develop a novel model to isolate the impact of those different types of information. They also applied it to the US stock market and derive some interesting results:

  • Stock-Specific information is most important
  • Markets became more efficient over time
  • Smaller stocks are more noisy

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Report Analytics USA #2

This post contains a lot of unsexy calculations and is fairly technical. But (in my opinion) there are some very interesting results. Not just for my particular strategy but for everyone who is active on Wikifolio.

First. Overall and especially after costs, my two Wikifolios weren’t a good alternative to a standard ETF on the S&P 500 index (from inception to March 11, 2022). To my defense, however, I stressed several times that the two Wikifolios are just a real-world test of my master thesis and I never marketed them as investments.

Second. I still believe that Wikifolio is a great platform to test strategies like mine, but it is not perfect. There are annoying technical issues, pretty high fees, and significant indirect trading costs. Depending on the liquidity of the stock, bid-ask-spreads and/or unfavorable FX rates amount to 40-80 basis points per transaction on average.

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