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Research on the Relation between Credit Spread of China's Bonds and Business Cycle based on Multiple Regression Model

机译:基于多元回归模型的中国债券与商业周期信用蔓延的关系研究

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The paper studies the relation between credit spread and business cycle by establishing multiple regression model of credit spread and macroeconomic factors. When selecting monthly data of corporate bonds index, government bonds index and some macroeconomic factors range from June 2005 to June 2010 and the multiple regression analysis, it is empirically found that changes of gross domestic production, return of the shanghai composite index, Shanghai Interbank Offered Rate and risk-free rate have significant negative influence on the credit spread variation. And the Wilcoxon signed rank sum test is used to analyze the relationship between credit spread and these four factors and verify that credit spread behaves counter-cyclically. After diversifying credit spread into two groups according to the sign of the return of shanghai composite index, it is confirmed that credit spread is higher during business cycle recessions than expansions through t-test. The results have important reference value in predicting future economic trends and investors making reasonable investment decisions.
机译:本文通过建立信贷差价和宏观经济因素的多元回归模型研究信贷传播和商业周期之间的关系。在选择公司债券指数的月度数据时,政府债券指数和一些宏观经济因素的范围从2005年6月到2010年6月和多元回归分析,经过经验发现,国内生产总值变化,上海综合指数返回上海银行间率和无风险率对信贷差异变化具有显着的负面影响。并且Wilcoxon签署的等级和测试用于分析信用差价与这四个因素之间的关系,并验证信贷传播是否令人反感。根据上海综合指数返回的签字多样化信贷分为两组,确认在商业周期注入期间信用差价比通过T检验扩展更高。结果具有重要的参考价值,以预测未来的经济趋势和投资者做出合理的投资决策。

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