Financial crises and regime-dependent dynamics
Generalized with the regime-dependent beliefs and regime-switching dynamics, the simple market-maker framework established by Day and Huang (1990) is capable to model all types of crises, that is, sudden crisis, disturbing crisis and smooth crisis, and to offer economic and dynamic justifications on...
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sg-ntu-dr.10356-1074362019-12-06T22:31:01Z Financial crises and regime-dependent dynamics Huang, Weihong Zheng, Huanhuan School of Humanities and Social Sciences DRNTU::Social sciences::Economic development Generalized with the regime-dependent beliefs and regime-switching dynamics, the simple market-maker framework established by Day and Huang (1990) is capable to model all types of crises, that is, sudden crisis, disturbing crisis and smooth crisis, and to offer economic and dynamic justifications on how and why these crises appear. Moreover, the model simulations verify the salient qualitative and statistical properties commonly observed in the real financial data such as fat tails, volatility clustering, long range dependence, leverage effect and other stylized facts. Additionally, the model replicates the various chart patterns widely applied in the technical analysis. 2013-10-31T07:35:34Z 2019-12-06T22:31:01Z 2013-10-31T07:35:34Z 2019-12-06T22:31:01Z 2012 2012 Journal Article Huang, W., & Zheng, H. (2012). Financial crises and regime-dependent dynamics. Journal of economic behavior & organization, 82(2-3), 445-461. https://hdl.handle.net/10356/107436 http://hdl.handle.net/10220/17151 http://dx.doi.org/10.1016/j.jebo.2012.02.008 en Journal of economic behavior & organization |
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DRNTU::Social sciences::Economic development Huang, Weihong Zheng, Huanhuan Financial crises and regime-dependent dynamics |
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Generalized with the regime-dependent beliefs and regime-switching dynamics, the simple market-maker framework established by Day and Huang (1990) is capable to model all types of crises, that is, sudden crisis, disturbing crisis and smooth crisis, and to offer economic and dynamic justifications on how and why these crises appear. Moreover, the model simulations verify the salient qualitative and statistical properties commonly observed in the real financial data such as fat tails, volatility clustering, long range dependence, leverage effect and other stylized facts. Additionally, the model replicates the various chart patterns widely applied in the technical analysis. |
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School of Humanities and Social Sciences |
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School of Humanities and Social Sciences Huang, Weihong Zheng, Huanhuan |
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Article |
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Huang, Weihong Zheng, Huanhuan |
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Huang, Weihong |
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Financial crises and regime-dependent dynamics |
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Financial crises and regime-dependent dynamics |
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Financial crises and regime-dependent dynamics |
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Financial crises and regime-dependent dynamics |
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Financial crises and regime-dependent dynamics |
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financial crises and regime-dependent dynamics |
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2013 |
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https://hdl.handle.net/10356/107436 http://hdl.handle.net/10220/17151 http://dx.doi.org/10.1016/j.jebo.2012.02.008 |
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