The Regional Financial Risk Early-Warning Model Integrating the Regression of Lagging Factors

Authors

DongSheng Liu, College of Computer Science & Information Engineering, Zhejiang Gongshang University, HangZhou 310018 P. R. China
GuangLan Zhou
KeNa Zhu
Chonghuan Xu

Author Country (or Countries)

HangZhou 310018 P. R. China

Abstract

It is an essential demand to establish an effective financial risk early-warning system for financial security. But some factors have a lagging effect on financial risk. So this paper aims to construct a reasonable and practical indicator system for financial risk early-warning. First, determine the explained variables of the indicator made up by Chinese financial stress index. Second, confirm the explanatory variables consisting of the macroeconomic variable, the currency credit variable, asset price variable and the macroeconomic variable of correlative economic powers. Finally, propose an optimum forecast equation to predict financial systemic risk status. In conclusion, the forecast outcomes indicate that Chinese financial systemic risk is on rising trend in the past three quarters in 2011 and higher than the peak of 2008, whereas financial systemic risk declines at the fourth quarter

Suggested Reviewers

N/A

Recommended Citation

Liu, DongSheng; Zhou, GuangLan; Zhu, KeNa; and Xu, Chonghuan (2013) "The Regional Financial Risk Early-Warning Model Integrating the Regression of Lagging Factors," Applied Mathematics & Information Sciences: Vol. 07: Iss. 3, Article 22.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol07/iss3/22