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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
In this paper, we study the problem of misrepresentation under heavy-tailed regression models with the presence of both … statement on a risk factor that determines the insurance premium. Under the regression context, we introduce heavy …
Persistent link: https://www.econbiz.de/10011890807
various tail dependence patterns. Using regression analysis of the upper and lower tail dependence simultaneously, we have …
Persistent link: https://www.econbiz.de/10014436379
Data breach incidents result in severe financial loss and reputational damage, which raises the importance of using insurance to manage and mitigate cyber related risks. We analyze data breach chronology collected by Privacy Rights Clearinghouse (PRC) since 2001 and propose a Bayesian...
Persistent link: https://www.econbiz.de/10014230858
Metaverses have been evolving following the popularity of blockchain technology. They build their own cryptocurrencies for transactions inside their platforms. These new cryptocurrencies are, however, still highly speculative, volatile, and risky, motivating us to manage their risk. In this...
Persistent link: https://www.econbiz.de/10014234332
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
regression under such dynamics is discussed. The magnitude of the latter phenomenon is quantified through simulations calibrated …
Persistent link: https://www.econbiz.de/10011890772
In traditional Reinforcement Learning (RL), agents learn to optimize actions in a dynamic context based on recursive estimation of expected values. We show that this form of machine learning fails when rewards (returns) are affected by tail risk, i.e., leptokurtosis. Here, we adapt a recent...
Persistent link: https://www.econbiz.de/10012387629
One of the key components of counterparty credit risk (CCR) measurement is generating scenarios for the evolution of the underlying risk factors, such as interest and exchange rates, equity and commodity prices, and credit spreads. Geometric Brownian Motion (GBM) is a widely used method for...
Persistent link: https://www.econbiz.de/10012018919
In this paper, we propose a novel framework for estimating systemic risk measures and risk allocations based on Markov Chain Monte Carlo (MCMC) methods. We consider a class of allocations whose jth component can be written as some risk measure of the jth conditional marginal loss distribution...
Persistent link: https://www.econbiz.de/10012204312