There is substantial evidence that many financial time series exhibit leptokurtosis and volatility clustering. We compare the two most commonly used statistical distributions in empirical analysis to capture these features: the t distribution and the generalized error distribution (GED). A Bayesian
The origin of fat-tailed distributions in financial time series
β Scribed by G.M. Viswanathan; U.L. Fulco; M.L. Lyra; M. Serva
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 130 KB
- Volume
- 329
- Category
- Article
- ISSN
- 0378-4371
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β¦ Synopsis
A classic problem in physics is the origin of fat-tailed distributions generated by complex systems. We study the distributions of stock returns measured over di erent time lags . We ΓΏnd that destroying all correlations without changing the = 1 d distribution, by shu ing the order of the daily returns, causes the fat tails to almost vanish for ΒΏ 1 d. We argue that the fat tails are caused by the well-known long-range volatility correlations that have already been systematically studied previously. Indeed, destroying only sign correlations, by shu ing the order of only the signs (but not the absolute values) of the daily returns, allows the fat tails to persist for ΒΏ 1 d.
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