Abstract
In this paper, we generalize the Almgren-Chriss's market impact model to a more realistic and flexible framework and employ it to derive and analyze some aspects of optimal liquidation problem in a security market. We illustrate how a trader's liquidation strategy alters when multiple venues and extra information are brought into the security market and detected by the trader. This study gives some new insights into the relationship between liquidation strategy and market liquidity, and provides a multi-scale approach to the optimal liquidation problem with randomly varying volatility.
| Original language | English |
|---|---|
| Pages (from-to) | 3215-3231 |
| Number of pages | 17 |
| Journal | Journal of Industrial and Management Optimization |
| Volume | 18 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - Sept 2022 |
Keywords
- Dynamic Programming (DP)
- Hamilton-Jacobi-Bellman (HJB) Equation
- Limit Order (LO)
- Market Order (MO)
- multi-scale stochastic volatility model
- quadratic variation
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