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When the US stock market becomes extreme?

Aboura, Sofiane - In: Risks : open access journal 2 (2014) 2, pp. 211-225

Over the last three decades, the world economy has been facing stock market crashes, currency crisis, the dot-com and real estate bubble burst, credit crunch and banking panics. As a response, extreme value theory (EVT) provides a set of ready-made approaches to risk management analysis....

Persistent link: https://www.econbiz.de/10010399734

Estimating and forecasting conditional risk measures with extreme value theory : a review

Bee, Marco; Trapin, Luca - In: Risks : open access journal 6 (2018) 2, pp. 1-16

One of the key components of financial risk management is risk measurement. This typically requires modeling, estimating and forecasting tail-related quantities of the asset returns’ conditional distribution. Recent advances in the financial econometrics literature have developed several...

Persistent link: https://www.econbiz.de/10011866456

An optimal tail selection in risk measurement

Just, Małgorzata; Echaust, Krzysztof - In: Risks : open access journal 9 (2021) 4, pp. 1-16

The appropriate choice of a threshold level, which separates the tails of the probability distribution of a random variable from its middle part, is considered to be a very complex and challenging task. This paper provides an empirical study on various methods of the optimal tail selection in...

Persistent link: https://www.econbiz.de/10012508704

Building up cyber resilience by better grasping cyber risk via a new algorithm for modelling heavy-tailed data

Dacorogna, Michel M.; Debbabi, Nehla; Kratz, Marie - 2022

Persistent link: https://www.econbiz.de/10013500692

Portfolio optimization for extreme risks with maximum diversification : an empirical analysis

Mehta, Navya Jayesh; Yang, Fan - In: Risks : open access journal 10 (2022) 5, pp. 1-26

Heavy tailedness and interconnectedness widely exist in stock returns and large insurance claims, which contributes to huge losses for financial institutions. Diversification ratio (DR) measures the degree of diversification using the Value-at-Risk, which is known to capture extreme risks better...

Persistent link: https://www.econbiz.de/10013358817

Empirical testing of models of autoregressive conditional heteroscedasticity used for prediction of the volatility of Bulgarian investment funds

Petrova, Mariana; Todorov, Teodor - In: Risks : open access journal 11 (2023) 11, pp. 1-30

investment decisions. The used risk attribution quantification models GARCH (1.1), EGARCH (1.1), GARCH-M (1.1) and TGARCH (1 … models GARCH, EGARCH, GARCH-M and TGARCH with specification (1.1). The research covers the net balance sheet value of forty … of the models GARCH, EGARCH and GARCH-M with the highest risk concentration the investment fund "Golden Lev Index 30 …

Persistent link: https://www.econbiz.de/10014436423

Efficient estimation in extreme value regression models of hedge fund tail risks

Hambuckers, Julien; Kratz, Marie; Usseglio-Carleve, Antoine - 2023

Persistent link: https://www.econbiz.de/10014412457

On the diversification effect in solvency II for extremely dependent risks

Chen, Yongzhao; Cheung, Ka Chun; Yam, Sheung Chi Phillip; … - In: Risks : open access journal 11 (2023) 8, pp. 1-22

In this article, we investigate the validity of diversification effect under extreme-value copulas, when the marginal risks of the portfolio are identically distributed, which can be any one having a finite endpoint or belonging to one of the three maximum domains of attraction. We show that...

Persistent link: https://www.econbiz.de/10014370410

The cascade Bayesian approach : prior transformation for a controlled integration of internal data, external data and scenarios

Hassani, Bertrand; Renaudin, Alexis - In: Risks : open access journal 6 (2018) 2, pp. 1-17

According to the last proposals of the Basel Committee on Banking Supervision, banks or insurance companies under the advanced measurement approach (AMA) must use four different sources of information to assess their operational risk capital requirement. The fourth includes ’business...

Persistent link: https://www.econbiz.de/10011866503

Nonparametric estimation of extreme quantiles with an application to longevity risk

Bolancé, Catalina; Guillén, Montserrat - In: Risks : open access journal 9 (2021) 4, pp. 1-23

A new method to estimate longevity risk based on the kernel estimation of the extreme quantiles of truncated age-at-death distributions is proposed. Its theoretical properties are presented and a simulation study is reported. The flexible yet accurate estimation of extreme quantiles of...

Persistent link: https://www.econbiz.de/10012508762