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Skew Lognormal Cascade DistributionStephen Lihn / research archive

Quantitative finance
2008 to 2026

Data atlas / fourteen fits

Applications

Our financial system is full of fat tails. These are the market series that make the case most clearly, from daily Dow returns to the Swiss franc.

14 data fitsKurtosis sortedSource notes

This page presents the best known financial time series fitted by the skew lognormal cascade distribution. The fat tails are clear under this microscope. A fat tail distribution needs at least 4,000 data points, or about 15 years of daily data. I would like to use the distribution on other real world data as well. If you have a series to try, let me know.

The table is sorted by kurtosis, with eta roughly following the same order. Kurtosis scales up with total duration and down with sampling interval. The mean is usually very small next to the width of the daily returns. Long term growth is almost negligible when compared with the daily fluctuation.

Preview the fitsUse the chart button on any row to open the saved fit at full size.

Sorted by kurtosis

Fat tails in familiar markets.

KurtosisAsset classSeriesChart
Above 20Stock indexDow daily log return, 1928 to 2008
10 to 20Stock indexDow weekly log return, 1928 to 2008
10 to 20CommodityWTI oil spot price, 1986 to 2008
10 to 20CommodityGold against the US dollar, 1972 to 2009
10 to 20Stock indexNasdaq Index, 1971 to 2009
10 to 20Stock indexDow monthly log return, 1928 to 2008
Near 10US stocksBlue chip stock collection, 1980 to 2010
5 to 10Stock indexRussell 2000, 1988 to 2008
5 to 10Stock indexNikkei 225, 1984 to 2009
5 to 10CommodityXAU Index, 1983 to 2008
2 to 5Bond10 year Treasury, 1962 to 2008
2 to 5VolatilityVIX, 1990 to 2008
2 to 5CurrencyJapanese yen against the US dollar, 1975 to 2008
2 to 5CurrencySwiss franc against the US dollar, 1975 to 2008

Source shelf

Data and further reading

19 entries
  1. Yahoo FinanceMarket data and historical quotes used for several series.
  2. Nasdaq CompositeOfficial index information for the Nasdaq Composite.
  3. Nikkei marketsJapanese market data and index information from Nikkei.
  4. FTSE Russell US indicesIndex information for the Russell 2000 and related benchmarks.
  5. Federal Reserve Economic DataEconomic time series from the Federal Reserve Bank of St. Louis.
  6. US TreasuryDaily Treasury yield curve and interest rate data.
  7. EIA WTI spot pricesWest Texas Intermediate spot price history.
  8. LBMA precious metal pricesLondon benchmark prices and market data.
  9. Cboe VIXOfficial volatility index information from Cboe.
  10. Cboe GVZThe Cboe dashboard for the gold volatility index.
  11. World Gold Council dataGold price data and market research.
  12. Lihn 2008 on SSRNThe 2008 working paper on the scale invariant Brownian motion model.
  13. Lihn 2009 on SSRNThe working paper on higher order lognormal cascade distributions.
  14. Clark 1973Subordinated stochastic process model for speculative prices.
  15. Fernholz 2002Stochastic portfolio theory and the diversity index.
  16. Heavy tailed distributionsA reference overview of distributions with heavy tails.
  17. Lognormal distributionDefinition and properties of the lognormal distribution.
  18. Stable distributionBackground on stable distributions and heavy tails.
  19. Stochastic portfolio theoryA reference overview of stochastic portfolio theory.

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