Abstract:The probability distribution of stock price changes is studied by analyzing a database (the Trades and Quotes Database) documenting every trade for all stocks in three major US stock markets, for the two year period January 1994 - December 1995. A sample of 40 million data points is extracted, which is substantially larger than studied hitherto. We find an asymptotic power-law behavior for the cumulative distribution with an exponent $$a \approx 3$$ , well outside the Lévy regime $$(0 < \alpha < 2)$$ .
Inverse cubic law for the distribution of stock price variations
P. Gopikrishnan,M. Meyer,L. A. Amaral,H. Stanley
Published 1998 in The European Physical Journal B - Condensed Matter and Complex Systems
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- Publication year
1998
- Venue
The European Physical Journal B - Condensed Matter and Complex Systems
- Publication date
1998-03-30
- Fields of study
Mathematics, Physics, Economics
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