"We extend the scope of risk measures for which backtesting models are available by proposing a multinomial backtesting method for general distortion risk measures. The method relies on a stratification and randomization of risk levels. We illustrate the performance of our methods in numerical case studies."
top of page
Rechercher
Posts récents
Voir toutEffective risk management requires understanding aggregate risks, individual business unit riskiness, and systemic risks. Realistic...
The paper explains Artificial Intelligence (AI), focusing on Generative AI, its role in finance, and its differences from Machine...
Insurers face complex risk dependencies in loss reserving. Additive background risk models (ABRMs) offer interpretable structures but can...
bottom of page
Comments