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Hochfrequenzdaten und Analyse der Marktmikrostruktur×Value-at-Risk (VaR) Backtesting×
FachgebietFinanzwirtschaftFinanzwirtschaft
FamilieRegression modelRegression model
Entstehungsjahr20071998
UrheberHasbrouck (2007); Aït-Sahalia & Jacod (2014)Kupiec (1995); Christoffersen (1998); Engle & Manganelli (DQ test)
TypMarket microstructure / high-frequency econometricsStatistical hypothesis tests on VaR violation sequences
Wegweisende QuelleHasbrouck, J. (2007). Empirical Market Microstructure: The Institutions, Economics, and Econometrics of Securities Trading. Oxford University Press. ISBN: 978-0195301649Kupiec, P. H. (1995). Techniques for Verifying the Accuracy of Risk Measurement Models. The Journal of Derivatives, 3(2), 73-84. DOI ↗
Aliasnamenmarket microstructure, high-frequency financial econometrics, tick data analysis, Yüksek Frekanslı Veri ve Piyasa Mikro YapısıVaR backtest, Kupiec test, Christoffersen test, Dynamic Quantile test
Verwandt53
ZusammenfassungMarket microstructure analysis studies how prices form from tick-level trade and quote data, examining order-book dynamics, the bid-ask spread, and price discovery. The modern econometric framework was set out by Hasbrouck (2007) and extended for high-frequency data by Aït-Sahalia and Jacod (2014).VaR backtesting is a family of statistical tests that validate a risk model by comparing its Value-at-Risk forecasts against realised losses. It builds on Kupiec's (1995) unconditional coverage test, Christoffersen's (1998) conditional coverage test, and the Engle-Manganelli Dynamic Quantile (DQ) test.
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ScholarGateMethoden vergleichen: Market Microstructure Analysis · VaR Backtesting. Abgerufen am 2026-06-15 von https://scholargate.app/de/compare