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Modeling Business Cycle with Financial Shocks Basing on Kaldor-Kalecki Model

1 Guangzhou Academy of International Finance and Guangzhou University, 510405, Guangzhou, P.R.China
2 School of Mathematics, South China University of Technology, 510640, Guangzhou, P.R.China

Special Issues: Financial Business Cycle

The effects of financial factors on real business cycle is rising to one of the most popular discussions in the field of macro business cycle theory. The objective of this paper is to discuss the features of business cycle under financial shocks by quantitative technology. More precisely, we introduce financial shocks into the classical Kaldor-Kalecki business cycle model and study dynamics of the model. The shocks include external shock and internal shock, both of which are expressed as noises. The dynamics of the model can help us understand the effects of financial shocks on business cycle and improve our knowledge about financial business cycle. In the case of external shock, if the intensity of shock is less than some threshold value, the economic system behaves randomly periodically. If the intensity of shock is beyond the threshold value, the economic system will converge to a normalcy. In the case of internal shock, if the intensity of shock is less than some threshold value, the economic system behaves periodically as the case without shock. If the intensity of shock exceeds the threshold value, the economic system either behaves periodically or converges to a normalcy. It is uncertain. The case with both two kinds of shocks is more complicated. We find conditions of the intensities of shocks under which the economic system behaves randomly periodically or disorderly, or converges to normalcy. Discussions about the effects of financial shocks on the business cycle are presented.
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Keywords financial shocks; business cycle; Kaldor-Kalecki model; stochastic dynamics

Citation: Zhenghui Li, Zhenzhen Wang, Zhehao Huang. Modeling Business Cycle with Financial Shocks Basing on Kaldor-Kalecki Model. Quantitative Finance and Economics, 2017, 1(1): 44-66. doi: 10.3934/QFE.2017.1.44


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