Selected Essays in Empirical Asset Pricing

Selected Essays in Empirical Asset Pricing

Author: Christian Funke

Publisher: Springer Science & Business Media

Published: 2008-09-15

Total Pages: 123

ISBN-13: 3834998141

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Christian Funke aims at developing a better understanding of a central asset pricing issue: the stock price discovery process in capital markets. Using U.S. capital market data, he investigates the importance of mergers and acquisitions (M&A) for stock prices and examines economic links between customer and supplier firms. The empirical investigations document return predictability and show that capital markets are not perfectly efficient.


Essays in Asset Pricing and Machine Learning

Essays in Asset Pricing and Machine Learning

Author: Jason Yue Zhu

Publisher:

Published: 2021

Total Pages:

ISBN-13:

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In this thesis we study two applications of machine learning to estimate models that explains asset prices by harnessing the vast quantity of asset and economic information while also capturing complex structure among sources of risk. First we show how to build a cross-section of asset returns, that is, a small set of basis or test assets that capture complex information contained in a given set of characteristics and span the Stochastic Discount Factor (SDF). We use decision trees to generalize the concept of conventional sorting and introduce a new approach to robustly recover the SDF, which endogenously yields optimal portfolio splits. These low-dimensional investment strategies are well diversified, easily interpretable, and reflect many characteristics at the same time. Empirically, we show that traditional cross-sections of portfolios and their combinations, especially deciles and long-short anomaly factors, present too low a hurdle for model evaluation and serve as the wrong building blocks for the SDF. Constructed from the same pricing signals, our cross-sections have significantly higher (up to a factor of three) out-of-sample Sharpe ratios and pricing errors relative to the leading reduced-form asset pricing models. In the second part of the thesis, I present deep neural networks to estimate an asset pricing model for individual stock returns that takes advantage of the vast amount of conditioning information, while keeping a fully flexible form and accounting for time-variation. The key innovations are to use the fundamental no-arbitrage condition as criterion function to construct the most informative test assets with an adversarial approach and to extract the states of the economy from many macroeconomic time series. Our asset pricing model outperforms out-of-sample all benchmark approaches in terms of Sharpe ratio, explained variation and pricing errors and identifies the key factors that drive asset prices.


Essays in Asset Pricing and Market Imperfections

Essays in Asset Pricing and Market Imperfections

Author: Weiyang Qiu (Ph. D.)

Publisher:

Published: 2010

Total Pages: 176

ISBN-13:

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(cont.) The third part of the thesis studies asset pricing under heterogeneous information. In an asset market where agents have heterogeneous information, asset prices not only depend their expectations of the true fundamentals but also depend on their expectations of the expectations of others. Iterations of such expectations lead to the so-called "infinite regress" problem, which makes the analysis of asset pricing under heterogeneous information challenging. In this part, we solve the infinite-regress problem in a simple economic setting under a fairly general information structure. This allows us to examine how different forms of information heterogeneity impacts the behavior of asset prices, their return dynamics, trading volume as well as agents' welfare.


Essays on Asset Pricing

Essays on Asset Pricing

Author: Bosung Jang

Publisher:

Published: 2017

Total Pages: 140

ISBN-13:

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This dissertation studies how asset prices are related to various macroeconomic and financial factors. In the first chapter, I examine the influence of external financing costs on growth and asset prices. Using U.S. high-tech firm data and the aggregate financing cost measure of Eisfeldt and Muir (2016), I find that an increase in financing cost can have negative effects on R&D by reducing equity finance. This result suggests that financing cost can have substantial impacts on long-run productivity through the R&D channel. Motivated by this idea, I construct a general equilibrium model where financing costs affect innovation activities and future productivity. My model endogenously generates long-run risk and matches key features of macroeconomic and asset price data. The model produces a sizable equity premium, doing a good job of matching macro moments in the data. Furthermore, a large risk premium of R&D-intensive stocks is justified in the model as in the data. In addition, as a higher financing cost forecasts lower productivity growth in the model, this prediction is supported by empirical evidence. In the second chapter, I investigate whether heterogeneity between domestic and foreign households can help explain the cross-section of stock returns. For this analysis, I apply Yogo’s (2006) durable consumption model to a two-country setting using Korean stock market data. In Korea, U.S. investors have been a dominant foreign investor group, given that the total share of foreigners is considerably large. By incorporating the stochastic discount factor of the U.S. into the model, I find that it plays a significant role in pricing assets. In particular, our model is successful in accounting for the expected excess return of relatively high book-to-market equity groups, producing lower pricing errors than the Fama-French 3 factor model. In the third chapter, I study the effects of debt maturity choice on stock returns and financial structure. I construct a model where firms can issue both short-term and long-term bonds, subject to collateral constraints. I also assume that, when they run financial deficits, firms use equity finance paying issuance costs. The model performs well in matching empirical facts about stock returns and the financial structure of firms. In addition, the model provides an interesting implication that firms substitute between leverage and maturity. In the literature, theoretical explanations for the substitution relationship have been mainly based on conflicts between stakeholders. Without hinging on the contract-theoretic approach, my model replicates the theoretical prediction.