Investor Behavior Under the Law of Small Numbers

46 Pages Posted: 8 Nov 2017 Last revised: 10 Nov 2017

See all articles by Cameron Peng

Cameron Peng

London School of Economics & Political Science (LSE) - Department of Finance

Date Written: November 6, 2017

Abstract

I study how investors trade under the law of small numbers, the belief that even a small sample represents the characteristics of the underlying population. These investors expect short-term trends to reverse but long-term trends to continue. Using a simple model, I show that the law of small numbers can explain several well-documented trading phenomena: chasing long-term trends, bucking short-term trends, the disposition effect, and the V-shaped selling propensity. Moreover, I derive and successfully test the model's new predictions, and in doing so, I (1) provide evidence for heterogeneous horizons, (2) highlight how investors' extrapolation horizon and holding period can explain variation in their disposition effect, and (3) show that the V-shaped selling propensity is an aggregate phenomenon driven by separate groups of investors.

JEL Classification: G02, G11

Suggested Citation

Peng, Cameron, Investor Behavior Under the Law of Small Numbers (November 6, 2017). Available at SSRN: https://ssrn.com/abstract=3066369 or http://dx.doi.org/10.2139/ssrn.3066369

Cameron Peng (Contact Author)

London School of Economics & Political Science (LSE) - Department of Finance ( email )

United Kingdom

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