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Three Essays in Financial Economics: the Interactions of Stocks and Fixed Income Securities

  • Author / Creator
    Cao, Ning
  • This dissertation consists of three essays in the field of financial economics, which examine the interactions of stocks and fixed income securities, at the individual bond level and aggregate market level. The first chapter provides a general introduction for the whole thesis. The second chapter studies asynchronous and contemporaneous links between values of individual stocks and bonds issued by the same firm. These correlations offer indications on how firm-specific information streams between the stock and bond markets. We examine those links using a novel database which contains bonds issued by Canadian firms over three decades. The overall result provides strong evidence of information flows streaming from the stock market to the bond market, and suggests that significant bidirectional information flows were triggered by the 2007 financial crisis. Further, information regarding the mean of firm's value, rather than its volatility, prevails in driving contemporaneous variations in stocks and bonds. The third chapter examines flights from stocks to three types of safe-haven assets: long-term Treasuries, T-Bills, and top-grade corporate bonds. We propose an innovative data-driven approach to identify flight-to-quality, and thus eliminate the exogenous identification of the crisis period. The chapter then examines the role of asset performance, volatility, illiquidity, and monetary policy activities on the flight-to-quality episode. The results indicate that illiquidity shocks appear to diversely affect different types of flights. Monetary policy announcements, both past and contemporaneous, are shown to decrease the incidence of flight-to-quality. In addition, this chapter establishes a strong link between the profitability of the momentum strategy and flight-to-quality. In Chapter 4, we check the robustness of the methodology to identify flight-to-quality proposed in Chapter 3. We find that flight indicators obtained by employing sub-samples, crisis periods or benchmark periods with different numbers of observations are highly correlated with each other. Our flight to long-term Treasuries indicators are robust to inclusion of the two other safe-haven assets. Results based on a series of data simulations with correlation changes of various possible sizes indicate that when a correlation change is about 5 times as large as the benchmark correlation level, our model can identify a flight in 90% of the data simulations. The last chapter concludes.

  • Subjects / Keywords
  • Graduation date
    2017-11:Fall 2017
  • Type of Item
    Thesis
  • Degree
    Doctor of Philosophy
  • DOI
    https://doi.org/10.7939/R3TD9NN9K
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Doctoral
  • Department
    • Department of Economics
  • Supervisor / co-supervisor and their department(s)
    • Galvani, Valentina (Economics)
  • Examining committee members and their departments
    • Jithendranathan, Thadavillil (Finance)
    • Young, Denise (Economics)
    • Choulli, Tahir (Mathematical and Statistical Sciences)
    • Huang, Haifang (Economics)