CI_POWERTAIL: MATLAB function to test for 'dragon kings' vs. 'black swans'
Abstract[CI_LO,CI_HI]=CI_POWERTAIL(DATA,ALPHA,TAIL) calculates confidence intervals of significance level ALPHA for a power law fitted to the right tail of the empirical distrubution function (edf) of the observations in DATA. Only observations lying in the interval [TAIL(1)-quantile of DATA,TAIL(2)-quantile of DATA] are used to obtain the least squares fit. CI_POWERTAIL(DATA,ALPHA,TAIL,CLT) allows to choose between the exact but slower to compute (binomial law based; CLT=0) and asymptotic (Gaussian law based; CLT=1, default) confidence intervals. CI_POWERTAIL(DATA,ALPHA,TAIL,CLT,1) plots the power law and the intervals in the current figure. Observations lying outside the curves spanned by the confidence intervals are likely to be (i.e. with probability 1-ALPHA) 'dragon kings', i.e. deviations from power law events (commonly known as 'black swans'). Note, that Taleb (2007) calls these 'tractable scientifically' events 'Mandelbrotian gray swans', to distinguish them from the 'totally intractable' black swans.
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Bibliographic InfoSoftware component provided by Hugo Steinhaus Center, Wroclaw University of Technology in its series HSC Software with number M12001.
Programming language: MATLAB
Requires: MATLAB (tested on MATLAB ver. 7.9).
Date of creation: 03 Mar 2012
Date of revision:
Black swan; Dragon king; Power law; Empirical distribution function; Confidence interval.; reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
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