השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| ניתוח נתונים בתדר גבוה ומיקרו-מבנה שוק× | בדיקת ערך בסיכון (VaR) לאחור× | |
|---|---|---|
| תחום | מימון | מימון |
| משפחה | Regression model | Regression model |
| שנת המקור≠ | 2007 | 1998 |
| הוגה השיטה≠ | Hasbrouck (2007); Aït-Sahalia & Jacod (2014) | Kupiec (1995); Christoffersen (1998); Engle & Manganelli (DQ test) |
| סוג≠ | Market microstructure / high-frequency econometrics | Statistical hypothesis tests on VaR violation sequences |
| מקור מכונן≠ | Hasbrouck, J. (2007). Empirical Market Microstructure: The Institutions, Economics, and Econometrics of Securities Trading. Oxford University Press. ISBN: 978-0195301649 | Kupiec, P. H. (1995). Techniques for Verifying the Accuracy of Risk Measurement Models. The Journal of Derivatives, 3(2), 73-84. DOI ↗ |
| כינויים≠ | market microstructure, high-frequency financial econometrics, tick data analysis, Yüksek Frekanslı Veri ve Piyasa Mikro Yapısı | VaR backtest, Kupiec test, Christoffersen test, Dynamic Quantile test |
| קשורות≠ | 5 | 3 |
| תקציר≠ | Market 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. |
| ScholarGateמערך נתונים ↗ |
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