Essays On The Predictability And Volatility Of Asset Returns
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Essays On The Predictability And Volatility Of Asset Returns
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Author : Stefan A. Jacewitz
language : en
Publisher:
Release Date : 2010
Essays On The Predictability And Volatility Of Asset Returns written by Stefan A. Jacewitz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
This dissertation collects two papers regarding the econometric and economic theory and testing of the predictability of asset returns. It is widely accepted that stock returns are not only predictable but highly so. This belief is due to an abundance of existing empirical literature finding often overwhelming evidence in favor of predictability. The common regressors used to test predictability (e.g., the dividend-price ratio for stock returns) are very persistent and their innovations are highly correlated with returns. Persistence when combined with a correlation between innovations in the regressor and asset returns can cause substantial over-rejection of a true null hypothesis. This result is both well documented and well known. On the other hand, stochastic volatility is both broadly accepted as a part of return time series and largely ignored by the existing econometric literature on the predictability of returns. The severe effect that stochastic volatility can have on standard tests are demonstrated here. These deleterious effects render standard tests invalid. However, this problem can be easily corrected using a simple change of chronometer. When a return time series is read in the usual way, at regular intervals of time (e.g., daily observations), then the distribution of returns is highly non-normal and displays marked time heterogeneity. If the return time series is, instead, read according to a clock based on regular intervals of volatility, then returns will be independent and identically normally distributed. This powerful result is utilized in a unique way in each chapter of this dissertation. This time-deformation technique is combined with the Cauchy t-test and the newly introduced martingale estimation technique. This dissertation finds no evidence of predictability in stock returns. Moreover, using martingale estimation, the cause of the Forward Premium Anomaly may be more easily discerned.
Essays On The Predictability And Volatility Of Returns In The Stock Market
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Author : Ruojun Wu
language : en
Publisher:
Release Date : 2008
Essays On The Predictability And Volatility Of Returns In The Stock Market written by Ruojun Wu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Bayesian statistical decision theory categories.
This dissertation studies the effect of parameter uncertainty on the return predictability and volatility of the stock market. The first two chapters focus on the decomposition of market volatility, and the third chapter studies the return predictability. When facing imperfect information, the investors tend to form a learning scheme that encompasses both historical data and prior beliefs. In the variance decomposition framework, the introducing of learning directly impacts the way that return forecasts are revised and consequently the relative component of market volatility based on these forecasts, namely the price movements from revision on future discount rates and those from future cash flows. According to the empirical study in Chapter 1, the former is not necessarily the major driving force of market volatility, which provides an alternative view on what moves stock prices. Learning is modeled and estimated by Bayesian method. Chapter 2 follows the topic in Chapter 1 and studies the role of persistent state variables in return decomposition in order to provide more robust inference on variance decomposition. In Chapter 3 we propose to utilize theoretical constraints to help predict market returns when in sample data is very noisy and creates model uncertainty for the investors. The constraints are also incorporated by Bayesian method. We show in the out-of-sample forecast experiment that models with theoretical constraints produce better forecasts.
Essays On Return Predictability And Volatility Estimation
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Author : Yuzhao Zhang
language : en
Publisher:
Release Date : 2008
Essays On Return Predictability And Volatility Estimation written by Yuzhao Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Investments categories.
Three Essays On Stock Market Volatility And Stock Return Predictability
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Author : Shu Yan
language : en
Publisher:
Release Date : 2000
Three Essays On Stock Market Volatility And Stock Return Predictability written by Shu Yan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Stock exchanges categories.
Three Essays On The Predictability Of Stock Returns
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Author : Amit Goyal
language : en
Publisher:
Release Date : 2001
Three Essays On The Predictability Of Stock Returns written by Amit Goyal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Stocks categories.
Essays On Stock Liquidity And Stock Return Predictability
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Author : Gregory William Eaton
language : en
Publisher:
Release Date : 2016
Essays On Stock Liquidity And Stock Return Predictability written by Gregory William Eaton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
I examine the effects of stock liquidity on asset values and whether aggregate stock liquidity and other forecasting instruments predict stock market returns. In the first chapter, I use tick-size reductions in equity markets as sources of exogenous variation in liquidity to examine the causal effect of transaction costs on firm value. In contrast to the prevailing view, I find that increased liquidity has a marginal or, in some cases, negative impact on firm value. The second chapter evaluates the predictive content of aggregate liquidity for economic activity and stock returns. We decompose illiquidity into a component capturing aggregate volatility and a volatility-adjusted component and find strong evidence that the component of illiquidity uncorrelated with volatility forecasts stock market returns. The third chapter provides new evidence on the stock return forecasting performance of alternative corporate payout yields. We find that the net payout yield forecasts stock returns and generally outperforms the commonly used dividend yield. Additionally, we show that the choice of cash flow used to construct the payout yield is economically significant. An agent relying on the incorrect payout measure as a forecasting instrument is willing to pay an economically significant amount to switch to the optimal policy.
Essays On Stock Return Predictability And Portfolio Allocation
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Author : Bradley Steele Paye
language : en
Publisher:
Release Date : 2004
Essays On Stock Return Predictability And Portfolio Allocation written by Bradley Steele Paye and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Asset allocation categories.
Three Essays On Stock Market Volatility
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Author : Chengbo Fu
language : en
Publisher:
Release Date : 2019
Three Essays On Stock Market Volatility written by Chengbo Fu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
This dissertation consists of three essays on stock market volatility. In the first essay, we show that investors will have the information in the idiosyncratic volatility spread when using two different models to estimate idiosyncratic volatility. In a theoretical framework, we show that idiosyncratic volatility spread is related to the change in beta and the new betas from the extra factors between two different factor models. Empirically, we find that idiosyncratic volatility spread predicts the cross section of stock returns. The negative spread-return relation is independent from the relation between idiosyncratic volatility and stock returns. The result is driven by the change in beta component and the new beta component of the spread. The spread-relation is also robust when investors estimate the spread using a conditional model or EGARCH method. In the second essay, the variance of stock returns is decomposed based on a conditional Fama-French three-factor model instead of its unconditional counterpart. Using time-varying alpha and betas in this model, it is evident that four additional risk terms must be considered. They include the variance of alpha, the variance of the interaction between the time-varying component of beta and factors, and two covariance terms. These additional risk terms are components that are included in the idiosyncratic risk estimate using an unconditional model. By investigating the relation between the risk terms and stock returns, we find that only the variance of the time-varying alpha is negatively associated with stock returns. Further tests show that stock returns are not affected by the variance of time-varying beta. These results are consistent with the findings in the literature identifying return predictability from time-varying alpha rather than betas. In the third essay, we employ a two-step estimation method to separate the upside and downside idiosyncratic volatility and examine its relation with future stock returns. We find that idiosyncratic volatility is negatively related to stock returns when the market is up and when it is down. The upside idiosyncratic volatility is not related to stock returns. Our results also suggest that the relation between downside idiosyncratic volatility and future stock returns is negative and significant. It is the downside idiosyncratic volatility that drives the inverse relation between total idiosyncratic volatility and stock returns. The results are consistent with the literature that investor overreact to bad news and underreact to good news.
Essays On Disaster Risk And Equity Return Predictability
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Author : Shunlin Liang
language : en
Publisher:
Release Date : 2016
Essays On Disaster Risk And Equity Return Predictability written by Shunlin Liang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Industrial management categories.
This dissertation consists of two essays on disaster risk and equity return predictability. The first essay proposes new measures of firm-level and market level disaster risk from deviation of put-call symmetry, which is free from being contaminated by the asymmetry between option traders and equity investors. Compared with other known measures of disaster risk, the market-level disaster risk measure robustly predicts aggregate market returns, with out-of-sample (R^2=6.86%) for the next twelve months. The cross-sectional analysis shows that firm-level disaster risk also explains variations in expected stock returns. Stocks with high firm-level disaster risk earn an annual four-factor subsequent alpha 8.0% higher than stocks with low firm-level disaster risk. I explore potential mechanisms giving rise to these asset pricing facts. The second essay finds that the investor’s learning of higher moments can account for the time-variation, size, and volatility of equity premium. I estimate the investor’s belief on skewness and kurtosis of consumption and dividend growth, and assume investor’s Bayesian learning about a skew student’s t-distribution with unknown fixed parameters. The predictive regressions show that more negative skewness and higher kurtosis predict higher subsequent market excess returns, which implies the investor’s learning generates the time variation of equity premium although the true distribution is static. The calibrated asset pricing model shows that the investor’s learning also explains the size and volatility of the equity premium observed in the data when the investor has a preference for early resolution of uncertainty.
Essays On Asset Pricing Models
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Author : Yan Li
language : en
Publisher:
Release Date : 2009
Essays On Asset Pricing Models written by Yan Li and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
My dissertation contains three chapters. Chapter one proposes a nonparametric method to evaluate the performance of a conditional factor model in explaining the cross section of stock returns. There are two tests: one is based on the individual pricing error of a conditional model and the other is based on the average pricing error. Empirical results show that for valueweighted portfolios, the conditional CAPM explains none of the asset-pricing anomalies, while the conditional Fama-French three-factor model is able to account for the size effect, and it also helps to explain the value effect and the momentum effect. From a statistical point of view, a conditional model always beats a conditional one because it is closer to the true data-generating process. Chapter two proposes a general equilibrium model to study the implications of prospect theory for individual trading, security prices and trading volume. Its main finding is that different components of prospect theory make different predictions. The concavity/convexity of the value function drives a disposition effect, which in turn leads to momentum in the cross-section of stock returns and a positive correlation between returns and volumes. On the other hand, loss aversion predicts exactly the opposite, namely a reversed disposition effect and reversal in the cross-section of stock returns, as well as a negative correlation between returns and volumes. In a calibrated economy, when prospect theory preference parameters are set at the values estimated by the previous studies, our model can generate price momentum of up to 7% on an annual basis. Chapter three studies the role of aggregate dividend volatility in asset prices. In the model, narrow-framing investors are loss averse over fluctuations in the value of their financial wealth. Persistent dividend volatility indicates persistent fluctuation in their financial wealth and makes stocks undesirable. It helps to explain the salient feature of the stock market including the high mean, excess volatility, and predictability of stock returns while maintaining a low and stable risk-free rate. Consistent with the data, stock returns have a low correlation with consumption growth, and Sharpe ratios are time-varying.