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Contribution Details
Type | Master's Thesis |
Scope | Discipline-based scholarship |
Title | Estimating and Backtesting Risk Measures |
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Institution | University of Zurich |
Faculty | Faculty of Business, Economics and Informatics |
Number of Pages | 48 |
Date | 2019 |
Abstract Text | In this article, rst of all, I introduce the basic idea of risk. In second part, I introduce the idea and formula of Value-at-Risk and Expected Shortfall. In third part, I use three methods to estimate VaR and ES. In detail, they are analytical method, historical simulation method and Monte Carlo method. Then I try to backtest my estimation by two method:score function method and violation test method. In the last part, I construct a loss operator and lll my plan above. based on the real data, I try to draw some conclusions for VaR and ES estimators. II |
PDF File | Download |
Export | BibTeX |