Estimating behavioural heterogeneity under regime switching

Financial markets are typically characterized by high (low) price level and low (high) volatility during boom (bust) periods, suggesting that price and volatility tend to move together with different market conditions/states. By proposing a simple heterogeneous agent model of fundamentalists and cha...

Full description

Saved in:
Bibliographic Details
Main Authors: Chiarella, Carl, He, Xue-Zhong, Huang, Weihong, Zheng, Huanhuan
Other Authors: School of Humanities and Social Sciences
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/107489
http://hdl.handle.net/10220/17330
http://dx.doi.org/10.1016/j.jebo.2012.02.014
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-107489
record_format dspace
spelling sg-ntu-dr.10356-1074892019-12-06T22:32:17Z Estimating behavioural heterogeneity under regime switching Chiarella, Carl He, Xue-Zhong Huang, Weihong Zheng, Huanhuan School of Humanities and Social Sciences DRNTU::Business::General::Economic and business aspects Financial markets are typically characterized by high (low) price level and low (high) volatility during boom (bust) periods, suggesting that price and volatility tend to move together with different market conditions/states. By proposing a simple heterogeneous agent model of fundamentalists and chartists with Markov chain regime-dependent expectations and applying the S&P 500 data from January 2000 to June 2010, we show that the estimation of the model matches well with the boom and bust periods in the US stock market. In addition, we find evidence of time-varying behavioural heterogeneity within-group and that the model exhibits good forecasting accuracy. 2013-11-06T04:11:08Z 2019-12-06T22:32:17Z 2013-11-06T04:11:08Z 2019-12-06T22:32:17Z 2012 2012 Journal Article Chiarella, C., He, X. Z., Huang, W., & Zheng, H. (2012). Estimating behavioural heterogeneity under regime switching. Journal of Economic Behavior & Organization, 83(3), 446-460. 0167-2681 https://hdl.handle.net/10356/107489 http://hdl.handle.net/10220/17330 http://dx.doi.org/10.1016/j.jebo.2012.02.014 en Journal of economic behavior & organization
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Business::General::Economic and business aspects
spellingShingle DRNTU::Business::General::Economic and business aspects
Chiarella, Carl
He, Xue-Zhong
Huang, Weihong
Zheng, Huanhuan
Estimating behavioural heterogeneity under regime switching
description Financial markets are typically characterized by high (low) price level and low (high) volatility during boom (bust) periods, suggesting that price and volatility tend to move together with different market conditions/states. By proposing a simple heterogeneous agent model of fundamentalists and chartists with Markov chain regime-dependent expectations and applying the S&P 500 data from January 2000 to June 2010, we show that the estimation of the model matches well with the boom and bust periods in the US stock market. In addition, we find evidence of time-varying behavioural heterogeneity within-group and that the model exhibits good forecasting accuracy.
author2 School of Humanities and Social Sciences
author_facet School of Humanities and Social Sciences
Chiarella, Carl
He, Xue-Zhong
Huang, Weihong
Zheng, Huanhuan
format Article
author Chiarella, Carl
He, Xue-Zhong
Huang, Weihong
Zheng, Huanhuan
author_sort Chiarella, Carl
title Estimating behavioural heterogeneity under regime switching
title_short Estimating behavioural heterogeneity under regime switching
title_full Estimating behavioural heterogeneity under regime switching
title_fullStr Estimating behavioural heterogeneity under regime switching
title_full_unstemmed Estimating behavioural heterogeneity under regime switching
title_sort estimating behavioural heterogeneity under regime switching
publishDate 2013
url https://hdl.handle.net/10356/107489
http://hdl.handle.net/10220/17330
http://dx.doi.org/10.1016/j.jebo.2012.02.014
_version_ 1681038850230583296