DocumentCode :
3038803
Title :
Robustness Analysis and Algorithm of Expected Shortfall Based on Extreme-Value Block Minimum Model
Author :
Ou, Shide ; Yi, Danhui
Author_Institution :
Sch. of Stat., Renmin Univ. of China, Beijing, China
fYear :
2009
fDate :
24-26 July 2009
Firstpage :
288
Lastpage :
292
Abstract :
To measure effectively the risk of stock market, the algorithm of expected shortfall is presented by using the extreme-value block minimum method. By transforming the distribution of standardized minimal return in an interval into the distribution of ordinary minimal return, the formula of expected shortfall is derived. By simulation and statistical analysis, an appropriate interval length is found out to make this algorithm robust. The simulation results show that the robustness of value at risk and expected shortfall based on this method is very good when the interval length isnpsilat more than 30. This algorithm measures effectively the expected shortfall of stock market.
Keywords :
statistical analysis; stock markets; expected shortfall algorithm; extreme-value block minimum model; robustness analysis; simulation analysis; standardized minimal return; statistical analysis; stock market; Algorithm design and analysis; Distribution functions; Equations; Mathematical model; Reactive power; Risk analysis; Robustness; Statistical analysis; Statistical distributions; Stock markets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3705-4
Type :
conf
DOI :
10.1109/BIFE.2009.73
Filename :
5208882
Link To Document :
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