Abstract

 


 



Black Swans are Not that Black


Valentyn Khokhlov


affiliation not provided to SSRN

December 23, 2011


Abstract:     
Some researchers have recently criticized using the normal distribution for modeling stock returns. While it’s true that the normal distribution is inappropriate and leads to the extreme outliers, known as the Black Swans problem, other elliptical distributions allow addressing this issue. The Student’s t-distribution with 3 to 4 degrees of freedom and the Laplace distribution both can be used to largely eliminate Black Swans in daily returns. Both distributions are compatible with the modern portfolio theory. We also show that no single distribution is clearly preferred when describing periodic returns, but the Black Swans problem is not so acute when considering returns over holding periods longer than one month.

Number of Pages in PDF File: 10

Keywords: Stock returns distribution, Black Swans, fat tails problem, lognormal distribution, Student’s t-distribution, Laplace distribution

JEL Classification: C12, C5, G11, G12

working papers series


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Date posted: January 22, 2012  

Suggested Citation

Khokhlov, Valentyn, Black Swans are Not that Black (December 23, 2011). Available at SSRN: http://ssrn.com/abstract=1989084 or http://dx.doi.org/10.2139/ssrn.1989084

Contact Information

Valentyn Khokhlov (Contact Author)
affiliation not provided to SSRN ( email )
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