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Hidden Markov independent component analysis as a measure of coupling in multivariate financial time series

Abstract:

Modelling the dynamics of financial markets has been an area of active research in recent years. This paper presents a time series analysis model which can be used to infer patterns within financial data, in order to better understand the dynamics of financial markets. The focus of the paper is on finding causal and time-scale relationships between financial time series. Wavelets are used to extract useful time-scale information from financial data at different frequencies and mutual informat...

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Publication status:
Accepted
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0002-9305-9268
Publication date:
2008-09-26
Acceptance date:
2008-07-24
Event title:
ICA Research Network International Workshop (ICArn 2008)
Event location:
Liverpool, UK
Event website:
http://www.eecs.qmul.ac.uk/legacy/icarn/events/icarnw08/index.html
Event start date:
2008-09-25
Event end date:
2008-09-26
Language:
English
Keywords:
Pubs id:
319042
Local pid:
pubs:319042
Deposit date:
2023-01-20

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