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  • 标题:Model Risk in Backtesting Risk Measures
  • 本地全文:下载
  • 作者:Corinna Evers ; Johannes Rohde
  • 期刊名称:Diskussionspapiere / Universität Hannover
  • 印刷版ISSN:0949-9962
  • 出版年度:2014
  • 卷号:2014
  • 出版社:Hannover
  • 摘要:Under the Basel II regulatory framework non-negligible statistical problems arise when backtesting risk measures. In this setting backtests often become infeasible due to a low number of violations leading to heavy size distortions. According to Escanciano and Olmo (2010, 2011) these problems persist when incorporating esti- mation and model risk by adjusting the asymptotic variance of the test statistics. In this paper, we analyze backtests based on hit and duration sequences in a univari- ate framework by running a simulation study in order to identify the problems of backtests that examine the adequacy of Value at Risk measures. One main finding indicates that backtests of all classes show heavy size distortions. These problems for the relevant Basel II set-up, however, cannot be alleviated by modifying backtests in a way that accounts for estimation risk or misspecification risk
  • 关键词:Model risk; backtesting; Value at risk
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