For many pension schemes, a shortage of data limits their ability to use sophisticated stochastic mortality models to assess and manage their longevity risk. In this study, we develop a relative model for mortality, which compares the evolution of mortality rates in a sub-population with that...

Monthly return distributions of many private equity and hedge funds indices exhibit a set of distinctive statistical properties; such as skewness, fat-tails, and first-order serial correlation; and if these are ignored then the calculation of risk-return performance measures, asset allocation or...

Over the last few years, Bitcoin and other cryptocurrencies have attracted the interest of many investors, practitioners and researchers. However, little attention has been paid to the predictability of their risk measures. In this paper, we compare the predictability of the one-step-ahead...

Variable annuities (VAs) are highly popular personal savings and investment products with long-term financial guarantees. The hedging of these guarantees is crucial for VA providers, but is complicated by basis risk, i.e. the discrepancy in returns between the underlying mutual fund and suitable...

Robustness of risk measures to changes in underlying loss distributions (distributional uncertainty) is of crucial importance when making well-informed risk management decisions. In this paper, we quantify for any given distortion risk measure its robustness to distributional uncertainty by...

This paper assesses and compares multi-factor continuous time affine mortality models applied to age-cohort mortality curves that are well suited for theoretical and practical application in finance and insurance. Models based on Gaussian distributed mortality rates, as well as the...

One of the main challenges for life actuaries is modeling and predicting the future mortality evolution. To this end, several stochastic mortality models have been proposed in literature, starting from the pivotal approach of the Lee-Carter model. These models essentially use the ARIMA processes...

involves projecting scenarios of key variables under the real world measure, while the inner stage is used to value payoffs under guarantees of varying complexity, under a risk neutral measure. The computational burdens in nested simulation often hinders its practicality. In this paper we...

Inflation risk is of high relevance in non-life insurers' long-tail business and can have a major impact on claims reserving. In this paper, we empirically study claims inflation with focus on automobile liability insurance based on a data set provided by a large German non-life insurance...

Modelling of conditional volatilities and correlations across asset returns is an integral part of portfolio decision making and risk management. Over the past three decades there has been a trend towards increased asset return correlations across markets, a trend which has been accentuated...