DocumentCode :
693893
Title :
Model Formulation and Empirical Analyses on the Macro Factors Affecting Credit Spreads of Enterprise Bonds in China
Author :
Di Wang ; Rongxi Zhou ; Yu Zhan ; Qinghua Zheng
Author_Institution :
Sch. of Econ. & Manage., Beijing Univ. of Chem. Technol., Beijing, China
fYear :
2013
fDate :
14-16 Nov. 2013
Firstpage :
225
Lastpage :
230
Abstract :
This paper selects the yield difference between the enterprise bonds and national debts circulated in Shanghai Stock Market as the credit spreads. Multiple regression model and time series model are separately used to analyze the key factors affecting credit spreads of our enterprise bonds both in static and dynamic status by quantitative and qualitative methods. And im-pulse response function is applied into testing the degree of influence affected by various factors. The result shows that some factors, such as CPP, GDP, Short term interest rate, Long term interest rate, Stock market returns and volatility, have some important influence on the research about the variety of the credit spreads of our enterprise bonds. The conclusions reveal the mechanism of changes of credit spreads, which could provide the decision support for the investors and managers.
Keywords :
economic indicators; financial management; regression analysis; stock markets; time series; CPP; China; GDP; Shanghai Stock Market; credit spreads; currency purchasing power; empirical analyses; enterprise bonds; impulse response function; long term interest rate; multiple regression model; national debts; short term interest rate; stock market returns; stock market volatility; time series model; Analytical models; Economic indicators; Macroeconomics; Reactive power; Standards; Stock markets; Technological innovation; Credit Spreads; Impulse Response Function; Macro Factors; Multiple Regression Model; Time Series Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Business Intelligence and Financial Engineering (BIFE), 2013 Sixth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4778-2
Type :
conf
DOI :
10.1109/BIFE.2013.48
Filename :
6961126
Link To Document :
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