• 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