Essays In Empirical Dynamic Asset Pricing

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Essays In Empirical Dynamic Asset Pricing

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Author : Dennis Umlandt
language : en
Publisher:
Release Date : 2020

Essays In Empirical Dynamic Asset Pricing written by Dennis Umlandt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.

Essays On Empirical Asset Pricing Dynamic Asset Allocation And Contagion Effects

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Author : Marius Ascheberg
language : en
Publisher:
Release Date : 2013

Essays On Empirical Asset Pricing Dynamic Asset Allocation And Contagion Effects written by Marius Ascheberg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.

Selected Essays In Empirical Asset Pricing

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Author : Christian Funke
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-09-15

Selected Essays In Empirical Asset Pricing written by Christian Funke and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-15 with Business & Economics categories.

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 On Empirical Asset Pricing

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Author : Xiang Zhang
language : en
Publisher:
Release Date : 2013

Essays On Empirical Asset Pricing written by Xiang Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.

This thesis consists of three essays on empirical asset pricing around three themes: evaluating linear factor asset pricing models by comparing their misspecified measures, understanding the long-run risk on consumption-leisure to investigate their pricing performances on cross-sectional returns, and evaluating conditional asset pricing models by using the methodology of dynamic cross-sectional regressions. The first chapter is ̀̀Comparing Asset Pricing Models: What does the Hansen-Jagannathan Distance Tell Us?''. It compares the relative performance of some important linear asset pricing models based on the Hansen-Jagannathan (HJ) distance using data over a long sample period from 1952-2011 based on U.S. market. The main results are as follows: first, among return-based linear models, the Fama-French (1993) five-factor model performs best in terms of the normalized pricing errors, compared with the other candidates. On the other hand, the macro-factor model of Chen, Roll, and Ross (1986) five-factor is not able to explain industry portfolios: its performance is even worse than that of the classical CAPM. Second, the Yogo (2006) non-durable and durable consumption model is the least misspecified, among consumption-based asset pricing models, in capturing the spread in industry and size portfolios. Third, the Lettau and Ludvigson (2002) scaled consumption-based CAPM (C-CAPM) model obtains the smallest normalized pricing errors pricing gross and excess returns on size portfolios, respectively, while Santos and Veronesi (2006) scaled C-CAPM model does better in explain the return spread on portfolios of U.S. government bonds. The second chapter (̀̀Leisure, Consumption and Long Run Risk: An Empirical Evaluation'') uses a long-run risk model with non-separable leisure and consumption, and studies its ability to price equity returns on a variety of portfolios of U.S. stocks using data from 1948-2011. It builds on early work by Eichenbaum et al. (1988) that explores the empirical properties of intertemporal asset pricing models where the representative agent has utility over consumption and leisure. Here we use the framework in Uhlig (2007) that allows for a stochastic discount factor with news about long-run growth in consumption and leisure. To evaluate our long-run model, we assess its performance relative to standard asset pricing models in explaining the cross-section of returns across size, industry and value-growth portfolios. We find that the long-run consumption-leisure model cannot be rejected by the J-statistic and it does better than the standard C-CAPM, the Yogo durable consumption and Fama-French three-factor models. We also rank the normalized pricing errors using the HJ distance: our model has a smaller HJ distance than other candidate models. Our paper is the first, as far as we are aware, to use leisure data with adjusted working hours as a measure of leisure i.e., defined as the difference between a fixed time endowment and the observable hours spent on working, home production, schooling, communication, and personal care (Yang (2010)). The third essay: ̀̀Empirical Evaluation of Conditional Asset Pricing Models: An Economic Perspective'' uses dynamic Fama-MacBeth cross-sectional regressions and tests the performance of several important conditional asset pricing models when allowing for time-varying price of risk. It compares the performance of conditional asset pricing models, in terms of their ability to explain the cross-section of returns across momentum, industry, value-growth and government bond portfolios. We use the new methodology introduced by Adrian et al. (2012). Our main results are as follows: first we find that the Lettau and Ludvigson (2001) conditional model does better than other models in explaining the cross-section of momentum and value-growth portfolios. Second we find that the Piazessi et al. (2007) consumption model does better than others in pricing the cross-section of industry portfolios. Finally, we find that in the case of the cross-section of risk premia on U.S. government bond portfolios the conditional model in Santos and Veronesi (2006) outperforms other candidate models. Overall, however, the Lettau and Ludvigson (2001) model does better than other candidate models. Our main contributions here is using a recently developed method of dynamic Fama-MacBeth regressions to evaluate the performance of leading conditional CAPM (C-CAPM) models in a common set of test assets over the time period from 1951-2012.

Essays In Empirical Asset Pricing

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Author : Haidong Cai
language : en
Publisher:
Release Date : 2021

Essays In Empirical Asset Pricing written by Haidong Cai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.

Essays In Empirical Asset Pricing

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Author : Daniel Robert Smith
language : en
Publisher:
Release Date : 2003

Essays In Empirical Asset Pricing written by Daniel Robert Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.

Essays In Empirical Asset Pricing

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Author : Johan Parmler
language : en
Publisher:
Release Date : 2005

Essays In Empirical Asset Pricing written by Johan Parmler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Capital assets pricing model categories.

Essays In Empirical Asset Pricing

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Author : Eric Marius Pondi Endengle
language : en
Publisher:
Release Date : 2018

Essays In Empirical Asset Pricing written by Eric Marius Pondi Endengle and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.

This thesis has three chapters in which I develop tools for comparisons and dynamic analysis of linear asset pricing models. In the first chapter, I introduce the notion of dynamically useless factors: factors that may be useless (uncorrelated with the assets returns) at some periods of time, while relevant at other periods of time. This notion bridges the literature on classical empirical asset pricing and the literature on useless factors, where both assume that the relevance of a factor remains constant through time. In this new framework, I propose a modified Fama-Macbeth procedure to estimate the time-varying risk premia from conditional linear asset pricing models. At each date, my estimator consistently estimates the conditional risk premium for every useful factor and is robust to the presence of the dynamically useless ones. I apply this methodology to the Fama-French five-factor model and find that, with the exception of the market, all the factors of this model are dynamically useless, although they remain useful 90 percent of the time. In the second chapter, I infer the time-varying parameters of a potentially misspecified stochastic discount factor (SDF) model. I extend the model of Gospodinov et al. (2014) to the framework of conditional SDF models, as the coefficients and the covariances are allowed to vary over time. The proposed misspecification-robust inference is able to eliminate the negative effects of potential useless factors, while maintaining the relevance of the useful ones. Empirically, I analyze the dynamical relevance of each factor in seven common asset pricing models from 1963 to 2016. The Fama-French's three-factor model (FF3) and five factor model (FF5) have been the overall best SDFs in the last 50 years. However, since 2000, the best SDF is CARH (FF3 + momentum factor), followed by FF5 as the second best. Apart from traded factors, the results bring a nuance on non-traded factors. We analyze the relevance, for linear pricing, of a human capital model inspired by Lettau & Ludvigson (2001) and Gospodinov et al. (2014). The third chapter proposes a method for ranking Fama-French linear factor models according to investors' preference for higher-order moments. I show that adding a new Fama- French factor to a prior Fama-French model systematically leads to a better model, only when the preference for higher-order moments is moderate (in absolute value). When the preference for higher-order moments is important or extreme, the four-factor model of Carhart (1997) has a better pricing ability than all the Fama-French models. An analysis of models with non-traded factors confirms the relevance, for linear pricing, of the human capital model analyzed in the second chapter. However, I show that this relevance is effective only for investors with null or very low preferences for higher-order moments.

Essays On Empirical Asset Pricing

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Author : Y. Wu
language : en
Publisher:
Release Date : 2022

Essays On Empirical Asset Pricing written by Y. Wu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.

Information Transmission And Investor Reactions

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Author : Jingjing Chen
language : en
Publisher:
Release Date : 2021

Information Transmission And Investor Reactions written by Jingjing Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Information behavior categories.

This dissertation consists of two essays that study the effects of information transmission on asset pricing under dynamic settings. My first essay studies the pricing of earnings announcement risk. Earnings announcements present a clear risk to investors and, under rational asset pricing theory, such risk should be consistently priced in stocks. However, I find that stocks with high earnings announcement risk earn significantly higher returns only during months when firms have earnings or M&A announcements. Moreover, the higher returns are realized mostly around the date of announcements. The findings seem to suggest that the risk premium is accrued concurrently when investors adjust stock valuation in response to significant information events. I provide additional evidence to substantiate the conjecture based on the effects of information updates and investor information consumption.My second essay investigates market excess returns around scheduled macroeconomic news announcements. Prior literature documents significantly positive market excess returns implied from CAPM (i.e., the coefficient of market beta) and significantly positive realized market excess returns on scheduled macroeconomic announcement days. In this study, I find that market excess return swings from negative on the day before, to positive on the day of, and negative again on the day after announcements. The average market excess returns, both implied and realized, over the three-day announcement window are insignificant. I show that market excess returns around macroeconomic announcements are primarily driven by a mood swing, i.e., changes of investor appetite toward risk. Specifically, investors become highly risk-averse prior to announcement but are much less so on the announcement day. I also show that uncertainty resolution at best partially accounts for the swing of market excess returns.