Estimating behavioural heterogeneity under regime switching
被引:40
作者:
Chiarella, Carl
论文数: 0引用数: 0
h-index: 0
机构:
Univ Technol Sydney, Finance Discipline Grp, UTS Business Sch, Sydney, NSW 2007, AustraliaUniv Technol Sydney, Finance Discipline Grp, UTS Business Sch, Sydney, NSW 2007, Australia
Chiarella, Carl
[1
]
He, Xue-Zhong
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h-index: 0
机构:
Univ Technol Sydney, Finance Discipline Grp, UTS Business Sch, Sydney, NSW 2007, AustraliaUniv Technol Sydney, Finance Discipline Grp, UTS Business Sch, Sydney, NSW 2007, Australia
He, Xue-Zhong
[1
]
Huang, Weihong
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h-index: 0
机构:
Nanyang Technol Univ, Div Econ, Singapore 639798, SingaporeUniv Technol Sydney, Finance Discipline Grp, UTS Business Sch, Sydney, NSW 2007, Australia
Huang, Weihong
[2
]
Zheng, Huanhuan
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h-index: 0
机构:
Chinese Univ Hong Kong, Inst Global Econ & Finance, Hong Kong, Hong Kong, Peoples R China
Univ York, Dept Econ & Related Studies, York YO10 5DD, N Yorkshire, EnglandUniv Technol Sydney, Finance Discipline Grp, UTS Business Sch, Sydney, NSW 2007, Australia
Zheng, Huanhuan
[3
,4
]
机构:
[1] Univ Technol Sydney, Finance Discipline Grp, UTS Business Sch, Sydney, NSW 2007, Australia
[2] Nanyang Technol Univ, Div Econ, Singapore 639798, Singapore
[3] Chinese Univ Hong Kong, Inst Global Econ & Finance, Hong Kong, Hong Kong, Peoples R China
[4] Univ York, Dept Econ & Related Studies, York YO10 5DD, N Yorkshire, England
Estimation;
Heterogeneity;
Regime switching;
Boom and bust;
DYNAMICS;
D O I:
10.1016/j.jebo.2012.02.014
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
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. (C) 2012 Elsevier B.V. All rights reserved.