---
title: Trading Problems with Semi-Markov and Hawkes Models
url: https://www.ml-quant.com/papers/ssrn/4956752/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4956752
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4956752
featured: 2024-09-18
citations: unknown
topic: Trading, Microstructure & Execution
---


# Trading Problems with Semi-Markov and Hawkes Models

The article explores the creation of advanced trading algorithms that replicate Limit Order Book data, with a focus on semi-Markov and Hawkes jump-diffusion models for high-frequency trading.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4956752
- Identifier: SSRN 4956752
- Released: 2024-09-14
- First featured: Quant Letter No. 66 (2024-09-18): https://www.ml-quant.com/issues/2024-09-18/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Trading, Microstructure & Execution

## Related

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- [Event-Based Limit Order Book Simulation under a Neural Hawkes Process: Application in Market-Making](https://www.ml-quant.com/papers/arxiv/2502.17417/): An event-driven Limit Order Book model using a Neural Hawkes process is proposed to simulate high-frequency dynamics in financial markets, offering a more accurate depiction of trade execution.
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