Department of Finance
Job Market Candidates
JOB MARKET CANDIDATES 2023/2024 |
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Kristoffer Halskov
Areas of Interest: Empirical Asset Pricing, Machine Learning, Climate Finance, Power Markets
Job Market Paper: A Deep Structural Model for Empirical Asset Pricing
This paper proposes a new type of modelling framework that use machine learning techniques to estimate the parameters of structural models: Deep Structural Models (DSMs). I implement a DSM with a simple Merton (1974) model as a foundation, and show that the DSM jointly estimates expected equity returns and (co)variances with higher predictive power than leading benchmark models. I form long-short and mean variance efficient portfolios with significantly higher average excess returns, alphas, and Sharpe ratios, compared to those formed on the basis of a state-of-the-art machine learning model. Economically, the DSM suggests that systematic risk compensation is the largest contributor to the average expected equity return of firms, while mispricing is the primary driver of the dispersion of expected returns. Finally, the DSM provides evidence that firm leverage is the main reason for an increased equity premium during economic recessions. |
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Donghyun Kang
Areas of Interest: Empirical Corporate Finance, Bankruptcy and Financial Distress
Job Market Paper: Wealth Protection in Bankruptcy and Serial Entrepreneurship
I study whether wealth protection in personal bankruptcy provides a second chance to |
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