Volume 23, Number 2 (December 2020)
Papers in this issue
Standard errors of risk and performance estimators for serially dependent returns
In this paper, a new method for computing the standard errors (SEs) of returns-based risk and performance estimators for serially dependent returns is developed.
Body and tail: an automated tail-detecting procedure
The quality of a tail model, which is determined by data from an unknown distribution, depends critically on the subset of data used to model the tail. Based on a suitably weighted mean square error, the authors present a completely automated method that…
Bias-corrected estimators for the Vasicek model: an application in risk measure estimation
The author evaluates the usefulness of bias-correction methods in enhancing the Vasicek model for market risk and counterparty risk management practices.
A framework to analyze the financial effects of climate change
Starting with an expert assessment of the climate risk factors over a specified horizon, then moving to a description of the expected number of climate events and the severity of the losses if an event occurs, the authors describe a framework to analyze…