Many actuarial science researchers on stochastic modeling and forecasting of systematic mortality risk use Cairns … integrate the CBD model to enhance its accuracy and predictive capacity for future systematic mortality risk in countries with … be implemented by Kenyan insurance firms when modeling and forecasting systematic mortality risk helpful in the pricing …

constant relative risk aversion utility. The method extends a recursive polynomial exponential approximation framework by … market price of risk, a 4/2 model with jumps, and an Ornstein-Uhlenbeck 4/2 model. In only one case, the closed-form solution …

are crucial for bitcoin investors’ decision-making analysis and risk management. However, most previous studies of bitcoin … bitcoin's return volatility and Value at Risk. The objective of this study is to compare their out-of-sample performance in … forecasting accuracy and risk management efficiency. The results demonstrate that the RNN outperforms GARCH and EWMA in average …

attempting to make current and future decisions using the yield data. Lenders and risk management consultants may benefit from …

value at risk (VaR) of the simulations. We also estimate the tail-risk using VaR backtesting. Finally, we use an artificial …