Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading - Rilegato

Chen, Jun; Tsang, Edward P K

 
9780367536282: Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading

Sinossi

Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring and algorithmic trading. Directional Change is a new way of summarising price changes in the market. Instead of sampling prices at fixed intervals (such as daily closing in time series), it samples prices when the market changes direction ("zigzags"). By sampling data in a different way, this book lays out concepts which enable the extraction of information that other market participants may not be able to see. The book includes a Foreword by Richard Olsen and explores the following topics:

  • Data science: as an alternative to time series, price movements in a market can be summarised as directional changes
  • Machine learning for regime change detection: historical regime changes in a market can be discovered by a Hidden Markov Model
  • Regime characterisation: normal and abnormal regimes in historical data can be characterised using indicators defined under Directional Change
  • Market Monitoring: by using historical characteristics of normal and abnormal regimes, one can monitor the market to detect whether the market regime has changed
  • Algorithmic trading: regime tracking information can help us to design trading algorithms

It will be of great interest to researchers in computational finance, machine learning and data science.

About the Authors

Jun Chen received his PhD in computational finance from the Centre for Computational Finance and Economic Agents, University of Essex in 2019.

Edward P K Tsang is an Emeritus Professor at the University of Essex, where he co-founded the Centre for Computational Finance and Economic Agents in 2002.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

Jun Chen received his PhD in computational finance from the Centre for Computational Finance and Economic Agents, University of Essex in 2019.

Edward P K Tsang is an Emeritus Professor at the University of Essex, where he co-founded the Centre for Computational Finance and Economic Agents in 2002. He is a Visiting Professor at University of Hong Kong.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo

9780367540951: Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading

Edizione in evidenza

ISBN 10:  0367540959 ISBN 13:  9780367540951
Casa editrice: Chapman and Hall/CRC, 2022
Brossura