In this paper the authors study different moving-window lengths for value-at-risk evaluation, and also address subjectivity in choosing the window size by
In this study different value-at-risk (VaR) models are analyzed under different estimation approaches (filtered historical simulation, extreme value theory and
This paper not only provides a theoretical model for the value-at-risk of active and passive trading strategies but also discusses the substantial implications