Estimation of future mortality rates still plays a central role among life insurers in pricing their products and … managing longevity risk. In the literature on mortality modeling, a wide number of stochastic models have been proposed, most … of them forecasting future mortality rates by extrapolating one or more latent factors. The abundance of proposed models …

future mortality rates. It can be argued that there are two types of mortality models using this approach. The first extracts …-parametric smoothing techniques to model mortality and thus has no explicit constraints placed on the model. We argue that from a … using Great Britain male mortality data from 1950–2016. We also conduct a robustness test to see how sensitive the forecasts …

the correlation of the age-specific mortality forecast error increments across time, age and sex. Next we analyse the … consider changes in the correlation of the age-specific fertility forecast error increments across time and age, and changes in … specific mortality is important. It has a large effect on long run uncertainty in life expectancy values, and hence on the …

probabilities that are less accurate in predicting their in-sample mortality. There is little evidence that the gradients in the … veracity of expectations are due to the less educated and cognitively able responding less to changes in objective mortality …

mortality forecast accuracy by 13% - 49% and 19% - 90% for females over individual mortality models. The stacked regression …There are many alternative approaches to selecting mortality models and forecasting mortality. The standard practice is … forecasts are used in mortality model selection, and model combination methods such as Bayesian Model Averaging and Model …