Share

Three Essays on Stock Market Volatility

Download Three Essays on Stock Market Volatility PDF Online Free

Author :
Release : 2019
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis Three Essays on Stock Market Volatility by : Chengbo Fu

Download or read book Three Essays on Stock Market Volatility written by Chengbo Fu. This book was released on 2019. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Three Essays on Stock Market Volatility and Stock Return Predictability

Download Three Essays on Stock Market Volatility and Stock Return Predictability PDF Online Free

Author :
Release : 2000
Genre : Stock exchanges
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis Three Essays on Stock Market Volatility and Stock Return Predictability by : Shu Yan

Download or read book Three Essays on Stock Market Volatility and Stock Return Predictability written by Shu Yan. This book was released on 2000. Available in PDF, EPUB and Kindle. Book excerpt:

Three Essays on the Predictability of Stock Returns

Download Three Essays on the Predictability of Stock Returns PDF Online Free

Author :
Release : 2001
Genre : Stocks
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis Three Essays on the Predictability of Stock Returns by : Amit Goyal

Download or read book Three Essays on the Predictability of Stock Returns written by Amit Goyal. This book was released on 2001. Available in PDF, EPUB and Kindle. Book excerpt:

Three Essays in Stock Return Volatility

Download Three Essays in Stock Return Volatility PDF Online Free

Author :
Release : 2016
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis Three Essays in Stock Return Volatility by : Ali Ebrahim Nejad

Download or read book Three Essays in Stock Return Volatility written by Ali Ebrahim Nejad. This book was released on 2016. Available in PDF, EPUB and Kindle. Book excerpt:

Essays on the Predictability and Volatility of Returns in the Stock Market

Download Essays on the Predictability and Volatility of Returns in the Stock Market PDF Online Free

Author :
Release : 2008
Genre : Bayesian statistical decision theory
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis Essays on the Predictability and Volatility of Returns in the Stock Market by : Ruojun Wu

Download or read book Essays on the Predictability and Volatility of Returns in the Stock Market written by Ruojun Wu. This book was released on 2008. Available in PDF, EPUB and Kindle. Book excerpt: 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.

You may also like...