Financial Risk Meter Based on Expectiles

نویسندگان

چکیده

The Financial Risk Meter (FRM) is an established quantitative tool that, based on conditional Value at (VaR) ideas, yields insight into the dynamics of network risk. Originally, FRM has been composed via Lasso quantile regression, but we here extend it by incorporating idea expectiles, thus indicating not only tail probability rather actual loss given a stress situation in network. expectile variant enjoys several advantages: Firstly, multivariate risk indicator expectile-based VaR (CoEVaR) can be derived, which sensitive to magnitude extreme losses. Next, index restricted compared mechanisms, expanded set systemic indicators, provide investors with numerous tools terms diverse preferences. power also lies displaying distribution across various entities every day. Two distinct patterns discovered under high and during stable periods from empirical results United States stock market. Furthermore, framework able identify individual characteristics capture spillover effects

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ژورنال

عنوان ژورنال: Social Science Research Network

سال: 2021

ISSN: ['1556-5068']

DOI: https://doi.org/10.2139/ssrn.3809329