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Vega, Capital Ratios, And Real Estate Lending, Muna Alsheikh
Vega, Capital Ratios, And Real Estate Lending, Muna Alsheikh
Doctor of Business Administration Dissertations
The 2007 financial crisis revealed how excessive bank risk threatens financial system stability. This paper studies two aspects of the risk-taking incentives of banks– CEO compensation and capital. The vega of a bank executive’s equity compensation measures how compensation changes relative to the banks’ stock volatility. If CEO compensation vega is high, I expect the CEO to take more risk in areas where he exercises control. Conversely, if regulators demand that banks invest their own capital to encourage conservative behavior, then I expect risk-taking to be lower. This paper confirms that higher vega and lower capital ratios are associated with …
Machine Learning And Empirical Asset Pricing, Yingnan Yi
Machine Learning And Empirical Asset Pricing, Yingnan Yi
Doctor of Business Administration Dissertations
In this paper, I conduct a comprehensive study of using machine learning tools to forecast the U.S. stock returns. I use three sets of predictors: the past history summarized by 120 lagged returns, the technical indicators measured by 120 moving average trading signals, and the 79 firm fundamentals, which helps to understand the weak-form market efficiency, algorithm trading and fundamental analysis. I find each set independently has strong predictive power, and buying the top 20% stocks with the greatest predicted returns and shorting bottom 20% with the lowest earns economically significant profits, and the profitability is robust to a number …
The Cross Section Of Expected Returns: Evidence From Implied Beliefs Of Active Mutual Funds Managers, Jorge Sabat
The Cross Section Of Expected Returns: Evidence From Implied Beliefs Of Active Mutual Funds Managers, Jorge Sabat
Doctor of Business Administration Dissertations
I develop a new test to compare the performance of asset pricing models. Using the industry allocations of active US mutual funds, I employ a structural model to estimate the implied expected returns on industry portfolios. For each asset pricing model, I use the factor loadings and the implied expected returns to calculate the implied expected factor risk premium. I compare the models based on the implied Sharpe ratio of the market portfolio. My methodology identifies the asset pricing model that not only generates the highest Sharpe ratio for the market but also best tracks the ex-ante Sharpe ratio. I …