Abstract
This study constructs an extended value-at-risk model that incorporates all microstructural liquidity components using a high-quality tick-by-tick index options market dataset. Out-of-sample backtesting and mean-difference analyses suggest that the traditional value-at-risk measure significantly underestimates investors’ potential losses relative to our new liquidity-adjusted measure. Logistic regressions reveal that ex-ante market illiquidity increases violations of liquidity-adjusted value-at-risk and that these violations are often driven by foreign institutional investors.
Original language | English |
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Pages (from-to) | 871-888 |
Number of pages | 18 |
Journal | European Journal of Finance |
Volume | 28 |
Issue number | 9 |
DOIs | |
Publication status | Published - 2022 |
Externally published | Yes |
Keywords
- Implied spread
- liquidity risk
- market microstructure
- options market
- risk management
- value-at-risk