Description
This dissertation consists of two essays. The first, titled “Market Timing in Corporate Finance Decisions: Evidence from Stock Market Anomalies” revisits the question of market timing in corporate finance by using a new mispricing measure based on stock return anomalies.

This dissertation consists of two essays. The first, titled “Market Timing in Corporate Finance Decisions: Evidence from Stock Market Anomalies” revisits the question of market timing in corporate finance by using a new mispricing measure based on stock return anomalies. Using this mispricing measure, I show that U.S. firms are 59% more likely to issue equity when overvalued and 28% more likely to repurchase shares when undervalued. Moreover, this market timing behavior is more pronounced as executives gain more personal benefits from these strategies. Executives use market timing strategies in acquisitions as well. I document that executives are more likely to use equity as currency in acquisitions when overvalued and use cash when undervalued. I find consistent evidence using an international dataset that includes 33 countries. These findings provide new evidence about market timing and support the market timing hypothesis. The second essay, titled “Monetary Policy Uncertainty and Asset Price Bubbles” examines the impact of monetary policy uncertainty (MPU) in predicting future asset price bubbles. Using US data from 1926-2019, this paper shows that greater monetary policy uncertainty leads to a greater likelihood of bubbles in industry-level returns. The result is robust to criticisms on the ex-ante identification of bubbles. This paper also documents that including MPU in machine learning models improves the models’ ability to predict bubbles in real-time.
Reuse Permissions
  • Downloads
    PDF (1.8 MB)

    Details

    Title
    • Essays in Financial Economics
    Contributors
    Date Created
    2023
    Subjects
    Resource Type
  • Text
  • Collections this item is in
    Note
    • Partial requirement for: Ph.D., Arizona State University, 2023
    • Field of study: Business Administration

    Machine-readable links