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 |
|---|---|
| Pages (from-to) | 871-888 |
| Number of pages | 18 |
| Journal | European Journal of Finance |
| Volume | 28 |
| Issue number | 9 |
| DOIs | |
| State | Published - 2022 |
Keywords
- Implied spread
- liquidity risk
- market microstructure
- options market
- risk management
- value-at-risk