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Generalized optimal liquidation problems across multiple trading venues

Qing-Qing Yang, Wai-Ki Ching*, Jia-Wen Gu, Tak-Kuen Siu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)3215-3231
Number of pages17
JournalJournal of Industrial and Management Optimization
Volume18
Issue number5
DOIs
Publication statusPublished - 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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