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T-copula revolutionizes risk assessment for insurance models under Solvency II.
The article explores how different variables are related to each other in extreme situations. They found that the t-copula is a useful tool for assessing risks in insurance models. The researchers focused on how these variables behave together in extreme scenarios, which can help predict potential risks more accurately.