Logo
Munich Personal RePEc Archive

A Robust VaR Model under Different Time Periods and Weighting Schemes

Angelidis, Timotheos and Benos, Alexandros and Degiannakis, Stavros (2007): A Robust VaR Model under Different Time Periods and Weighting Schemes. Published in: Review of Quantitative Finance and Accounting , Vol. 2, No. 28 (2007): pp. 187-201.

[thumbnail of MPRA_paper_80466.pdf]
Preview
PDF
MPRA_paper_80466.pdf

Download (435kB) | Preview

Abstract

This paper analyses several volatility models by examining their ability to forecast the Value-at-Risk (VaR) for two different time periods and two capitalization weighting schemes. Specifically, VaR is calculated for large and small capitalization stocks, based on Dow Jones (DJ) Euro Stoxx indices and is modeled for long and short trading positions by using non parametric, semi parametric and parametric methods. In order to choose one model among the various forecasting methods, a two-stage backtesting procedure is implemented. In the first stage the unconditional coverage test is used to examine the statistical accuracy of the models. In the second stage a loss function is applied to investigate whether the differences between the models, that calculated accurately the VaR, are statistically significant. Under this framework, the combination of a parametric model with the historical simulation produced robust results across the sample periods, market capitalization schemes, trading positions and confidence levels and therefore there is a risk measure that is reliable.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.