Suchergebnisse

As a forward-looking measure of future equity market volatility, the VIX index has gained immense popularity in recent years to become a key measure of risk for market analysts and academics. We consider discrete reported intraday VIX tick values as realisations of a collection of curves observed sequentially on equally spaced and dense grids over time and utilise functional data analysis techniques to produce 1-dayahead forecasts of these curves. The proposed method facilitates the investigation of dynamic changes in the index over very short time intervals as showcased using the 15-s high-frequency VIX index values. With the help of dynamic updating techniques, our point and interval forecasts are shown to enjoy improved accuracy over conventional time series models. ; The first author acknowledges a faculty research grant from the College of Business and Economics at the Australian National University. The second author would like to acknowledge financial support from the Australian Government Research Training Program Stipend Scholarship.

Abstract
Understanding climate-related risks and stresses is an emerging area of interest for life insurers globally. However, there are complexities in quantifying climate risk stress impacts due to the long-term nature of these risks, and the interactions between physical and transition risks over time. In this paper, we build on understanding the financial impacts of climate risk stresses for life insurers in Australia, by identifying key climate-related mortality risks, and quantifying these by applying short- and long-term stresses from existing literature to two synthetic life insurers. We perform sensitivity tests to demonstrate the variability and range of plausible results. Overall, results show that the expected financial impacts from short-term events in isolation are small relative to expected long-term changes in mortality. Furthermore, the value of a mortality hedge is even more apparent given the increased mortality risk for yearly renewable-term insurers in the short to medium term.