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

Jun Chen

ISBN 10: 0367540959 / ISBN 13: 9780367540951

Edité par Chapman And Hall/CRC, 2022

A propos de cet article

nach der Bestellung gedruckt Neuware - Printed after ordering - 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 changesMachine learning for regime change detection: historical regime changes in a market can be discovered by a Hidden Markov ModelRegime characterisation: normal and abnormal regimes in historical data can be characterised using indicators defined under Directional ChangeMarket Monitoring: by using historical characteristics of normal and abnormal regimes, one can monitor the market to detect whether the market regime has changedAlgorithmic trading: regime tracking information can help us to design trading algorithmsIt will be of great interest to researchers in computational finance, machine learning and data science.About the AuthorsJun 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.

N° de réf. du vendeur 9780367540951

Détails bibliographiques

• Titre: Detecting Regime Change in Computational Finance : Data Science, Machine Learning and Algorithmic Trading
• Éditeur: Chapman And Hall/CRC
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 0367540959
• ISBN à 13 chiffres: 9780367540951
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, this book applies machine learning to financial market monitoring and algorithmic trading.

À propos de l?auteur

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.