Chapter 9. Extreme Value Theory
Matlab and Julia
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% Hill estimator in MATLAB
ysort = sort(y); % sort the returns
CT = 100; % set the threshold
iota = 1/mean(log(ysort(1:CT)/ysort(CT+1))) % get the tail index
Hill estimator in Julia
ysort = sort(y) # sort the returns
CT = 100 # set the threshold
iota = 1/mean(log.(ysort[1:CT]/ysort[CT+1])) # get the tail index
Financial Risk ForecastingMarket risk forecasting with R, Julia, Python and Matlab. Code, lecture slides, implementation notes, seminar assignments and questions.
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