pith. sign in

arxiv: 1502.04592 · v2 · pith:TEDPGIO4new · submitted 2015-02-16 · 💱 q-fin.TR

Hawkes processes in finance

classification 💱 q-fin.TR
keywords processesfinancehawkesapplicationsempiricalestimatingfrequencyhigh
0
0 comments X
read the original abstract

In this paper we propose an overview of the recent academic literature devoted to the applications of Hawkes processes in finance. Hawkes processes constitute a particular class of multivariate point processes that has become very popular in empirical high frequency finance this last decade. After a reminder of the main definitions and properties that characterize Hawkes processes, we review their main empirical applications to address many different problems in high frequency finance. Because of their great flexibility and versatility, we show that they have been successfully involved in issues as diverse as estimating the volatility at the level of transaction data, estimating the market stability, accounting for systemic risk contagion, devising optimal execution strategies or capturing the dynamics of the full order book.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. CHRONOS: Temporally-Aware Multi-Agent Coordination for Evolving Data Marketplaces

    cs.DB 2026-05 unverdicted novelty 5.0

    CHRONOS is a three-layer system for evolving data marketplaces that applies neural-ODE temporal decay, changepoint-aware Shapley valuation, and EXP3-IX private coordination to achieve 0.937 recall, 2.74 qps, 161 ms la...