An Optimal Tail Selection in Risk Measurement

نویسندگان

چکیده

The appropriate choice of a threshold level, which separates the tails probability distribution random variable from its middle part, is considered to be very complex and challenging task. This paper provides an empirical study on various methods optimal tail selection in risk measurement. results indicate method may useful practice for investors financial regulatory institutions. Some that perform well simulation studies, based theoretical distributions, not when real data are use. We analyze twelve with different parameters forty-eight world indices using returns period 2000–Q1 2020 four sub-periods. research objective compare identify those can recognized as suggest only methods, i.e., Path Stability algorithm, minimization Asymptotic Mean Squared Error approach, automated Eyeball carefully selected tuning Hall single bootstrap procedure practical applications.

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ژورنال

عنوان ژورنال: Risks

سال: 2021

ISSN: ['2227-9091']

DOI: https://doi.org/10.3390/risks9040070