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.
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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.
Item Type: | MPRA Paper |
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Original Title: | A Robust VaR Model under Different Time Periods and Weighting Schemes |
Language: | English |
Keywords: | Asymmetric Power ARCH, Backtesting, Extreme Value Theory, Filtered Historical Simulation, Value-at-Risk. |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C52 - Model Evaluation, Validation, and Selection C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets |
Item ID: | 80466 |
Depositing User: | Dr. Stavros Degiannakis |
Date Deposited: | 30 Jul 2017 12:47 |
Last Modified: | 30 Sep 2019 10:29 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/80466 |