The distribution of stock returns: New evidence against the stable model

Amy Hing Ling Lau, Hon Shiang Lau, John R. Wingender

Research output: Contribution to journalArticle

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We present a simple but effective procedure for determining whether a reasonably large sample comes from a stable population against the alternative that it comes from a population with finite higher moments. The procedure uses the fact that a stable population sample has moments of the fourth and sixth order whose magnitudes increase very rapidly as the sample size increases. This procedure shows convincingly that stock returns, when taken as a group, do not come from stable populations. Even for individual stocks, our results show that the stable-population- model null hypothesis can be rejected for more than 95% of the stocks.

Original languageEnglish
Pages (from-to)217-223
Number of pages7
JournalJournal of Business and Economic Statistics
Issue number2
Publication statusPublished - 1990
Externally publishedYes


All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Economics and Econometrics
  • Statistics, Probability and Uncertainty
  • Social Sciences (miscellaneous)

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