I'm looking for a (hopefully exhaustive or at least extensive) list of behavioral biases that are currently observable in the stock market. I'm well aware and replicated some of the evergreens such as underdiversification and disposition effect that are well known for quite some time- what i'm looking for are some more recently discovered biases.

Does anyone know (ideally) some research papers that might point to newer biases such as preferences for stochastically dominated alternatives, alphabetical-ordering preferences (ABC-stock puzzle), or full-sale bias (bang-bang strategies such as mentioned by Christian Gollier) etc. pp. including a methodological description and perhaps estimates on the significance, economical and statistical effects and pricing impact?

I'm grateful for any hints :-)

  • $\begingroup$ Please don't forget the meta mistake: The belief that knowledge of most common investment mistakes protects you from making investment mistakes yourself or even allows you to exploit other peoples mistakes. $\endgroup$
    – quarague
    May 18 at 9:58
  • $\begingroup$ @quarague Thanks for your comment, however, exploitation of any biases is beyond my intentions. I will leave that to Fuller Thaler Asset Management 😁 fullerthaler.com/about $\endgroup$
    – T123
    May 18 at 10:49
  • $\begingroup$ Who says "Underdiversification" is a mistake? If you ask Warren Buffet, you should be able to do extra well with 20 "punches" to your lifetime purchases. You just shouldn't buy without extensive research first. $\endgroup$
    – Sablefoste
    May 27 at 1:40
  • $\begingroup$ @Sablefoste I think it's overconfident to assume that the average Joe has the same skills as Warren Buffet. 😉 $\endgroup$
    – T123
    May 27 at 8:32
  • $\begingroup$ @T123, agreed most don't have the skill of Warren Buffet. But the point was "underdiversification" is not a mistake or systemic problem. The question assumed it to be a "known" problem (as did at least one of the answers) when in fact it is exactly the opposite for an experienced investor. I think for something to be classified as a mistake, it must show the behavior nearly always results in capital loss (such as buying high and selling low). $\endgroup$
    – Sablefoste
    May 27 at 12:14

4 Answers 4


You find a (partial) list with many references in Table 1 from Liu et al. (2022, JFE) which I copy here:

enter image description here

Hirshleifer (2015, ARFE) provides a great review of the literature on behavioural finance.

  • 1
    $\begingroup$ Thanks a lot, yes, that's already very close to what i'm looking for! :-) I'm tempted to mark this one as "answered" but i'd like to keep my question open for a little while to give others the chance to provide some helpful comments/answers as well. I'm sure as we both strive for knowledge that you won't mind :-) $\endgroup$
    – T123
    May 16 at 12:36
  • $\begingroup$ I found some article similar to Lui et. al. (2022) written by Joachim Weber, Steffen Meyer, Benjamin Loos and Andreas Hackethal (" Which Investment Behaviors Really Matter for Individual Investors?") some time ago who did something very similar and perhaps even more complete to this, however, for some reasons this paper can't be found anywhere anymore, just some traces where some footnotes used to link to their paper. $\endgroup$
    – T123
    May 16 at 12:40
  • $\begingroup$ @T123 What's the motivation for you seeking this list of behavioural biases? Do you seek to avoid them, or trade against them, or do research on them? $\endgroup$
    – Kevin
    May 17 at 20:41
  • 1
    $\begingroup$ I came into contact with behavioral biases and behavioral finance via my thesis advisor, Martin Weber from Mannheim university and i'm fascinated ever since. It is some sort of hobby where i started replicating some papers with more current and publicly available data out of curiosity.. $\endgroup$
    – T123
    May 18 at 8:07
  • 1
    $\begingroup$ @T123 Pretty cool that you keep up with replicating papers (: Looking through all the references in the answers here, there seems to be almost as big of a bias zoo as there is with factors! :D $\endgroup$
    – Kevin
    May 19 at 13:33

First, let me say that barring another post, Kevin should get accepted as the answer, but I wanted to add a class of biases that are in the literature, but not in the social science literature. In other words, this is known, but unknown to economists.

As a background, I have been making the technical argument that there are three types of errors of mathematics in the financial economics literature. Two of those errors are applying perfectly good math inappropriately.

As an example, imagine that you and your billionaire friend just learned Euclidean geometry. Your favorite part has always been the parallel lines postulate, while your friend is in love with the Side-Angle-Side Theorem. In order to test Euclid's ideas and prove them correct, you both decide to walk along parallel lines and measure your distance apart at the end of the trek. You need a billionaire friend in order to waste the required amount of money to do this.

To be certain you are doing it correctly, you both go to the equator. You stand on the prime meridian and your friend stands at ninety degrees longitude. You both stand facing North.

You begin your trek traveling perpendicular to the equator and, unexpectedly, both arrive at the North Pole, on parallel lines that intersect and you create a 270-degree triangle where any two sides are parallel lines.

Finance creates the same type of mistake by violating the converse of the Dutch Book Theorem.

Ito calculus assumes that all parameters are known. Of course, they are not. That is where the problem arises. Theoretical and empirical finance is a Frequentist discipline. On the surface, there is nothing wrong with that, as long as the work remains theoretical and is never applied to any real-world problem.

This bias might be called an expert bias because only an expert can cause this bias. An amateur could not possibly cause this to happen. It is a bias due to training alone. There have been empirical warnings since 1963 to abandon the math used in finance, but nobody will stop doing it.

The original article by Black and Scholes that sets up options pricing modeling from that time forward has a paragraph just before the end that states the authors tested the method empirically and it didn't work. Indeed, it has never passed a validation test. Whole conferences are held on the anomalies of the model.

There are three difficulties involved with substituting estimates for known values and the article I am about to cite involves one of them. This is a well-known problem in the probability and mathematical literature. It has to do with the rules of probability math at a level deeper on which an economist would ever be trained. So it never appears in social science training. Ironically, it is important in the field of philosophy. There are philosophers as well as mathematicians and probabilists writing on this topic. The one place it would be vital, finance, has been almost dead silent ever since Markowitz published. It used to be part of economics. Indeed, one Nobel prize winner wrote about it.

So here is the problem, it will not look like a problem, which is also part of the problem.

This is Kolmogorov's third axiom. $$P\left(\bigcup_{i=1}^\infty{E_i}\right)=\sum_{i=1}^{\infty}P(E_i)$$

In the end, it simply allows the person creating a model to cut a cumulative density function into infinitely many slices, including slices that are not atomic. They can be arbitrarily small. Economists love taking things to infinity or zero.

This is de Finetti's third result from the Dutch Book Theorem. $$P\left(\bigcup_{i=1}^N{E_i}\right)=\sum_{i=1}^{N}P(E_i)$$

This basically states that you cannot have non-atomic slices. You cannot get arbitrarily small. You can get fiendishly small, but you must remain atomic.

"So what" you ask?

Well, unless you have an infinite number of customers, not model as if there were, only if there actually are, then there is no difficulty created by using Kolmogorov's axioms. However, for any finite number of participants, Frequentist probability distributions give rise to sure losses if you know how to make them happen.

This is not a secret. Leonard Jimmie Savage coauthored a book on this before Black-Scholes and the finalizing of the various CAPMs and the APT. This is a form of herd behavior. Everybody knows that something does not work, but does not stop doing it.

The article is written in a style similar to Calculus the Easy Way. There are pictures but no formal math. There is a field of probability, philosophy and math dedicated to this problem already. This article is similar to a proof of concept. It is intended to show a specific pathology, but it is not the exclusive set of pathologies. I have found five of them that happen in empirical finance.

This bias is similar to physicists continuing to use luminiferous ether long after the Michelson and Morely experiments proved that it could not exist. It is also similar to the physicians that rejected germ theory despite the evidence. It is a specific kind of bias. I bring it up because bias is not just for amateurs. It took professionals to crash the Space Shuttle, twice, in preventable accidents.

The article is here. It is on the Internet Archive because the blog site was bought out by another firm.


This article from CXO Advisory Group gives a good overview:

  1. Portfolio turnover: unprogrammed trading volume scaled by portfolio value.
  2. Trade clustering: clustering of investor trades in time.
  3. Disposition effect: selling of winners and holding of losers.
  4. Leading turnover: trading before other investors (same security/same direction).
  5. Forecasting skill: systematically realizing excess returns on purchased securities.
  6. Trend following: buying funds with recent increases in value.
  7. Home bias: preference for local stocks or locally-focused funds.
  8. Local bias: preference for stocks/funds with nearby headquarters.
  9. Lottery mentality: preference for stocks with low price and high idiosyncratic volatility/skewness.
  10. Under-diversification: holding only a few securities and/or highly correlated securities.

Source: https://www.cxoadvisory.com/individual-investing/two-self-destructive-individual-investor-behaviors/

  • 1
    $\begingroup$ Thanks for adding this article. As one can see, they refer to the paper i mentioned above (and which has been erased unfortunately). May google wayback-machine help us finding it... $\endgroup$
    – T123
    May 17 at 13:13
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    $\begingroup$ @T123: I tried archive.org but they haven't saved the article. I asked the authors to provide the full text on researchgate. If you find it somewhere else, please inform me, and I will add it to the answer. Thank you. $\endgroup$
    – vonjd
    May 17 at 13:36
  • $\begingroup$ "The authors suggest an easy way to avoid one of the two significantly self-destructive behaviors: “Under-diversification could simply be reduced by purchasing products that offer built-in diversification, such as exchange-traded funds or mutual funds.”" -- Someone incentivized by trying to sell ETFs or Mutual Funds? NOTE: the link to the original paper is removed (first hyperlink on the cxoadvisory article). One can't follow the money. $\endgroup$
    – Sablefoste
    May 27 at 15:49

I'll post another answer here for completeness and to collect all answers and my own research here as a kind of summary.

@all: Please feel free to edit my post if you want to contribute / complete the list

20220517: First list plus sources (apart from those in previous answers) enter image description here enter image description here enter image description here enter image description here

All images were taken from here: http://ssrn.com/abstract=2609989

Here is another table: enter image description here enter image description here enter image description here enter image description here enter image description here Source: https://www.researchgate.net/publication/315597444_Institutional_investor_behavioral_biases_syntheses_of_theory_and_evidence


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