Uncovering the Risk-return Relation in the Stock Market PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Uncovering the Risk-return Relation in the Stock Market PDF full book. Access full book title Uncovering the Risk-return Relation in the Stock Market by Hui Guo. Download full books in PDF and EPUB format.
Author: Hui Guo
Publisher:
ISBN:
Category : Investments
Languages : en
Pages : 40
Get Book Here
Book Description
There is an ongoing debate in the literature about the apparent weak or negative relation between risk (conditional variance) and return (expected returns) in the aggregate stock market. We develop and estimate an empirical model based on the ICAPM to investigate this relation. Our primary innovation is to model and identify empirically the two components of expected returns--the risk component and the component due to the desire to hedge changes in investment opportunities. We also explicitly model the effect of shocks to expected returns on ex post returns and use implied volatility from traded options to increase estimation efficiency. As a result, the coefficient of relative risk aversion is estimated more precisely, and we find it to be positive and reasonable in magnitude. Although volatility risk is priced, as theory dictates, it contributes only a small amount to the time-variation in expected returns. Expected returns are driven primarily by the desire to hedge changes in investment opportunities. It is the omission of this hedge component that is responsible for the contradictory and counter-intuitive results in the existing literature
Author: Hui Guo
Publisher:
ISBN:
Category : Investments
Languages : en
Pages : 40
Get Book Here
Book Description
There is an ongoing debate in the literature about the apparent weak or negative relation between risk (conditional variance) and return (expected returns) in the aggregate stock market. We develop and estimate an empirical model based on the ICAPM to investigate this relation. Our primary innovation is to model and identify empirically the two components of expected returns--the risk component and the component due to the desire to hedge changes in investment opportunities. We also explicitly model the effect of shocks to expected returns on ex post returns and use implied volatility from traded options to increase estimation efficiency. As a result, the coefficient of relative risk aversion is estimated more precisely, and we find it to be positive and reasonable in magnitude. Although volatility risk is priced, as theory dictates, it contributes only a small amount to the time-variation in expected returns. Expected returns are driven primarily by the desire to hedge changes in investment opportunities. It is the omission of this hedge component that is responsible for the contradictory and counter-intuitive results in the existing literature
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Hui Guo
Publisher:
ISBN:
Category :
Languages : en
Pages : 34
Get Book Here
Book Description
We investigate the risk-return relation in international stock markets using realized variance constructed from MSCI (Morgan Stanley Capital International) daily stock price indices. In contrast with CAPM, realized variance by itself provides negligible information about future excess stock market returns; however, we uncover a positive and significant risk-return tradeoff in many countries after controlling for the (U.S.) consumption-wealth ratio. U.S. realized variance is also significantly related to future international stock market returns; more importantly, it always subsumes the information content of its local counterparts. Our results indicate that stock market variance is an important determinant of the equity premium.
Author: Hui Guo
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
We investigate the risk-return relation in international stock markets using realized variance constructed from MSCI (Morgan Stanley Capital International) daily stock price indexes. In contrast with CAPM, realized variance by itself provides negligible information about future excess stock market returns; however, we uncover a positive and significant risk-return tradeoff in many countries after controlling for the (U.S.) consumption-wealth ratio. U.S. realized variance is also significantly related to future international stock market returns; more importantly, it always subsumes the information content of its local counterparts. Our results indicate that stock market variance is an important determinant of the equity premium.
Author: Naina
Publisher:
ISBN: 9783384246059
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
Author: Pim van Vliet
Publisher: John Wiley & Sons
ISBN: 1119351057
Category : Business & Economics
Languages : en
Pages : 180
Get Book Here
Book Description
Believing "high-risk equals high-reward" is holding your portfolio hostage High Returns from Low Risk proves that low-volatility, low-risk portfolios beat high-volatility portfolios hands down, and shows you how to take advantage of this paradox to dramatically improve your returns. Investors traditionally view low-risk stocks as safe but unprofitable, but this old canard is based on a flawed premise; it fails to see beyond the monthly horizon, and ignores compounding returns. This book updates the thinking and brings reality to modelling to show how low-risk stocks actually outperform high-risk stocks by an order of magnitude. Easy to read and easy to implement, the plan presented here will help you construct a portfolio that delivers higher returns per unit of risk, and explains how to achieve excellent investment results over the long term. Do you still believe that investors are rewarded for bearing risk, and that the higher the risk, the greater the reward? That old axiom is holding you back, and it is time to start seeing the whole picture. This book shows you, through deep historical simulation, how to reap the rewards of smarter investing. Learn how and why low-risk, low-volatility stocks beat the market Discover the formula that outperforms Greenblatt's Construct your own low-risk portfolio Select the right ETF or low-risk fund to manage your money Great returns and lower risk sound like a winning combination — what happens once everyone is doing it? The beauty of the low-risk strategy is that it continues to work even after the paradox is widely known; long-term investment success is possible for anyone who can shake off the entrenched wisdom and go low-risk. High Returns from Low Risk provides the proof, model and strategy to reign in your exposure while raking in the profit.
Author: Alberto G. P. Rossi
Publisher:
ISBN:
Category :
Languages : en
Pages : 58
Get Book Here
Book Description
Using a flexible econometric approach that avoids imposing restrictive modeling assumptions, we find evidence of a non-monotonic relation between conditional volatility and expected stock market returns: At low-to-medium levels of conditional volatility there is a positive trade-off between risk and expected returns, but this relationship gets inverted at high levels of volatility as observed during the recent financial crisis. We propose a new measure of risk based on the conditional covariance between daily observations of a broad economic activity index and stock returns. Using this covariance measure, we find clear evidence of a monotonically increasing risk-return trade-off. Our finding of a non-monotonic mean-volatility relation helps explain the absence of a consensus in the empirical literature on the sign of the risk-return trade-off. At the same time, our finding that the expected return is a monotonically rising function of the conditional covariance measure also suggests that a positive risk-return relation can be established once a better measure of risk is used.
Author: Eric Ghysels
Publisher:
ISBN:
Category : Capitalism
Languages : en
Pages : 72
Get Book Here
Book Description
This paper studies the ICAPM intertemporal relation between the conditional mean and the conditional variance of the aggregate stock market return. We introduce a new estimator that forecasts monthly variance with past daily squared returns %u2013 the Mixed Data Sampling (or MIDAS) approach. Using MIDAS, we find that there is a significantly positive relation between risk and return in the stock market. This finding is robust in subsamples, to asymmetric specifications of the variance process, and to controlling for variables associated with the business cycle. We compare the MIDAS results with tests of the ICAPM based on alternative conditional variance specifications and explain the conflicting results in the literature. Finally, we offer new insights about the dynamics of conditional variance.
Author: Richard A. Brealey
Publisher: MIT Press (MA)
ISBN:
Category : Investment analysis
Languages : en
Pages : 168
Get Book Here
Book Description
Author:
Publisher: Fundacion BBVA
ISBN:
Category :
Languages : en
Pages : 46
Get Book Here
Book Description
