Download or read book Does Co Movement of Conditional Volatility Matter in Asset Pricing Further Evidence in the Downside and Conventional Pricing Frameworks written by Song Li and published by . This book was released on 2008 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper we model country-specific equity market return and association between country-specific equity market volatility and that of the world market in the downside and conventional asset pricing frameworks. For this a Factor- ARCH type process is adopted where world market risk (beta) is estimated in the mean equation and exposure of country-specific market volatility to world market volatility (volatility beta) is estimated in the variance equation. Generally, the beta is estimated higher for developed markets than for emerging markets and the reverse is observed in volatility beta. Even though the two types of betas are positive and significant, a cross-sectional analysis reveals that volatility beta is not priced. We observe these results when the analysis is carried out from an international investor perspective. When we repeat the analysis in sub-periods delineated via breakpoints in the world market return series and with alternative specifications of the variance equation our findings remain largely unchanged.

Download or read book Essays on Volatility Risk Premia in Asset Pricing written by and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis contains two essays. In the first essay, we investigate the impact of time varying volatility of consumption growth on the cross-section and time-series of equity returns. While many papers test consumption-based pricing models using the first moment of consumption growth, less is known about how the time-variation of consumption growth volatility affects asset prices. In a model with recursive preferences and unobservable conditional mean and volatility of consumption growth, the representative agent's estimates of conditional moments of consumption growth affect excess returns. Empirically, we find that estimated consumption volatility is a priced source of risk, and exposure to it predicts future returns in the cross-section. Consumption volatility is also a strong predictor of aggregate quarterly excess returns in the time-series. The estimated negative price of risk together with the evidence on equity premium predictability suggest that the elasticity of intertemporal substitution of the representative agent is greater than unity, a finding that contributes to a long standing debate in the literature. In the second essay, I present a simple model to show that if agents face binding portfolio constraints, stocks with high volatility in states of low market returns demand a premium beyond the one implied by systematic risks. Assets whose volatility positively covaries with market volatility also have high expected returns. Both effects of this idiosyncratic volatility risk premium are strongest for assets that face more binding trading restrictions. Unlike the prior empirical literature that obtains mixed results when focusing on the level of idiosyncratic volatility, I investigate the dynamic behavior of idiosyncratic volatility and find strong support for my predictions. Comovement of innovations of idiosyncratic volatility with market returns negatively predicts returns for trading restricted stocks relative to unrestricted stocks, and comovement.

Download or read book Volatility Analysis and Asset Pricing of Stock Portfolios written by Klaus Grobys and published by BoD – Books on Demand. This book was released on 2009 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since a vast number of investment funds are available at the market, it may be difficult for investors to figure out which fund might serve their needs the best. Especially in times where the uncertainty in the market increases, it might be even more important to figure out how investment funds response to such volatility shocks. Volatility as a risk measure may not be constant over time, but tight connected to the market risk in contrast. Hence, the exploration of the investment fund's volatility response to shocks in the stock market may give a deeper understanding of what the actual risk of an investor might be.

Download or read book Excess Volatility and the Asset Pricing Exchange Rate Model with Unobservable Fundamentals written by Lorenzo Giorgianni and published by International Monetary Fund. This book was released on 1999-05 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper presents a method to test the volatility predictions of the textbook asset-pricing exchange rate model, which imposes minimal structure on the data and does not commit to a choice of exchange rate “fundamentals.” Our method builds on existing tests of excess volatility in asset prices, combining them with a procedure that extracts unobservable fundamentals from survey-based exchange rate expectations. We apply our method to data for the three major exchange rates since 1984 and find broad evidence of excess exchange rate volatility with respect to the predictions of the canonical asset-pricing model in an efficient market.

Download or read book Asset Pricing Implications of the Volatility Term Structure written by and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: These implications are consistent with our empirical results. In the last part, we study the relationship between individual stock's volatility term structure and the stock's future return. We use a measure of stock's implied volatility term structure slope, defined as the difference between 3-month and 1-month implied volatility from at-the-money options, to demonstrate that option prices contain important information for the underlying equities. We show that option volatility term structure slopes are significant in explaining future equity returns in the cross-section. And we further find evidence that the implied volatility term structure is a measure of event risk: firms with the most negative volatility term structure are those for which the market anticipates news that may affect stock price within one month. Relevant events include, but are not limited to, earnings announcements.

Download or read book Asset Pricing with Time Varying Volatility written by Victor Ng and published by . This book was released on 1989 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Index to Theses with Abstracts Accepted for Higher Degrees by the Universities of Great Britain and Ireland and the Council for National Academic Awards written by and published by . This book was released on 2005 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Does Volatility Matter written by Giulio Bottazzi and published by . This book was released on 2009 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: We present results of an experiment on expectation formation in an asset market. Participants to our experiment must provide forecasts of the stock future return to computerized utility-maximizing investors, and are rewarded according to how well their forecasts perform in the market. In the Baseline treatment participants must forecast the stock return one period ahead; in the Volatility treatment, we also elicit subjective confidence intervals of forecasts, which we take as a measure of perceived volatility. The realized asset price is derived from a Walrasian market equilibrium equation with non-linear feedback from individual forecasts. Our experimental markets exhibit high volatility, fat tails and other properties typical of real financial data. Eliciting confidence intervals for predictions has the effect of reducing price fluctuations and increasing subjects’ coordination on a common prediction strategy. -- Experimental economics ; Expectations ; Coordination ; Volatility ; Asset pricing

Download or read book Tests of the Conditional Asset Pricing Model written by Stuart Hyde and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We investigate the relationship between consumption and the term structure using U.K. interest rate data. We demonstrate that the term structure contains information about future economic activity as implied by the benchmark time separable power utility consumption based capital asset pricing model (C-CAPM) since the yield spread has forecasting power for future consumption growth. Further, we analyze the ability of this benchmark and two alternative models which adopt utility functions characterized by non-separability, namely, the extension to the habit formation model of Campbell and Cochrane (1999) proposed by Wachter (2006) and the housing C-CAPM proposed by Piazzesi et al. (2007). Our findings are supportive of the habit formation specification of Wachter (2006), other models fail to yield economically plausible parameter values.

Download or read book Asset Pricing Anomalies and Time Varying Betas written by Devraj Basu and published by . This book was released on 2019 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we develop a new measure of specification error, and thus derive new statistical tests, for conditional factor models, i.e. models in which the factor loadings (and hence risk premia) are allowed to be time-varying. Our test exploits the close links between the stochastic discount factor framework and mean-variance efficiency. We show that a given set of factors is a true conditional asset pricing model if and only if the efficient frontiers spanned by the traded assets and the factor-mimicking portfolios, respectively, intersect. In fact, we show that our test is proportional to the difference in squared Sharpe ratios of these two frontiers.We draw three main conclusions from our empirical findings. First, optimal scaling clearly improves the performance of asset pricing models, to the point where several of the scaled models are capable of explaining asset pricing anomalies. However, even the optimally scaled models fall short of being true conditional asset pricing models in that they fail to price actively managed portfolios correctly. Second, there is significant time-variation in factor loadings and hence risk premia, which plays a significant role in asset pricing. Moreover, the optimal factor loadings display a high degree of non-linearity in the conditioning variables, suggesting that the linear scaling prevalent in the literature is sub-optimal and does not capture the inter-temporal pattern of risk premia. Third, skewness and kurtosis do matter in the conditional setting, while adding little to unconditional performance.

Download or read book Essays on Equilibrium Asset Pricing written by Aoxiang Yang (Ph.D.) and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: My dissertation is developed to address unresolved issues in the asset pricing literature, focusing on both risk premium levels and dynamics. Chapter 1 addresses short-horizon risk premium dynamics. In the data, stock market volatility weakly or even negatively predicts short-run equity and variance risk premia, challenging positive risk-return trade-offs at the heart of leading asset pricing models. I show that a puzzling negative volatility-risk premia relationship concentrates in scattered high-uncertainty states, which occur about 20\% of the time. While at other times, the relationship is strongly positive. I develop a micro-founded learning model in which due to learning frictions investors underreact to structural breaks in high-volatility periods and overreact to transitory variance shocks in normal times. The model can successfully explain the novel time-varying volatility-risk premia relationship at short and long horizons. The model can further account for many other data features, such as a robust positive correlation between equity and variance risk premium, the leverage effect, and negative observations of equity and variance risk premia at the onsets of recessions. Chapter 2, coauthored with Professor Bjorn Eraker, focuse on equilibrium derivatives pricing. It is motivated by the observation that leading asset pricing models typically can not explain the levels or dynamics of VIX options prices. We develop a tractable equilibrium pricing model to explain observed characteristics in equity returns, VIX futures, S\&P 500 options, and VIX options data based on affine jump-diffusive state dynamics and representative agents endowed with Duffie-Epstein recursive preferences. A specific model aimed at capturing VIX options prices and other asset market data is shown to successfully replicate the salient features of consumption, dividends, and asset market data, including the first two moments of VIX futures returns, the average implied volatilities in SPX and VIX options, and first and higher-order moments of VIX options returns. In the data, we document a time variation in the shape of VIX option implied volatility and a time-varying hedging relationship between VIX and SPX options which our model both captures. Our model also matches many other asset pricing moments such as equity premia, variance risk premia, risk-free interest rates, and short-horizon return predictability. To derive our specific model, we first develop a general framework for pricing assets under recursive Duffie-Epstein preferences with IES set to one under the assumption that state variables follow affine jump diffusions, as in \citet{DPS00}. Relative to the literature, our framework has a clear marginal contribution that it is an endowment-based equilibrium model with (i) clearly stated affine state variable dynamics and (ii) precisely characterized equilibrium value function, risk-free rate, prices of risks, and risk-neutral state dynamics. We prove our state-price density is a precise $IES\to1$ limit of that approximately solved in \citet{ErakShal08}. The recursive preference assumption implies that higher-order conditional moments of the economic fundamental, such as its growth volatility and volatility-of-volatility, are explicitly priced in equilibrium. Since VIX derivatives depend on these factors, this in turn implies that the former carry non-zero risk premia.

Download or read book Empirical Asset Pricing written by Turan G. Bali and published by John Wiley & Sons. This book was released on 2016-02-26 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Bali, Engle, and Murray have produced a highly accessible introduction to the techniques and evidence of modern empirical asset pricing. This book should be read and absorbed by every serious student of the field, academic and professional.” Eugene Fama, Robert R. McCormick Distinguished Service Professor of Finance, University of Chicago and 2013 Nobel Laureate in Economic Sciences “The empirical analysis of the cross-section of stock returns is a monumental achievement of half a century of finance research. Both the established facts and the methods used to discover them have subtle complexities that can mislead casual observers and novice researchers. Bali, Engle, and Murray’s clear and careful guide to these issues provides a firm foundation for future discoveries.” John Campbell, Morton L. and Carole S. Olshan Professor of Economics, Harvard University “Bali, Engle, and Murray provide clear and accessible descriptions of many of the most important empirical techniques and results in asset pricing.” Kenneth R. French, Roth Family Distinguished Professor of Finance, Tuck School of Business, Dartmouth College “This exciting new book presents a thorough review of what we know about the cross-section of stock returns. Given its comprehensive nature, systematic approach, and easy-to-understand language, the book is a valuable resource for any introductory PhD class in empirical asset pricing.” Lubos Pastor, Charles P. McQuaid Professor of Finance, University of Chicago Empirical Asset Pricing: The Cross Section of Stock Returns is a comprehensive overview of the most important findings of empirical asset pricing research. The book begins with thorough expositions of the most prevalent econometric techniques with in-depth discussions of the implementation and interpretation of results illustrated through detailed examples. The second half of the book applies these techniques to demonstrate the most salient patterns observed in stock returns. The phenomena documented form the basis for a range of investment strategies as well as the foundations of contemporary empirical asset pricing research. Empirical Asset Pricing: The Cross Section of Stock Returns also includes: Discussions on the driving forces behind the patterns observed in the stock market An extensive set of results that serve as a reference for practitioners and academics alike Numerous references to both contemporary and foundational research articles Empirical Asset Pricing: The Cross Section of Stock Returns is an ideal textbook for graduate-level courses in asset pricing and portfolio management. The book is also an indispensable reference for researchers and practitioners in finance and economics. Turan G. Bali, PhD, is the Robert Parker Chair Professor of Finance in the McDonough School of Business at Georgetown University. The recipient of the 2014 Jack Treynor prize, he is the coauthor of Mathematical Methods for Finance: Tools for Asset and Risk Management, also published by Wiley. Robert F. Engle, PhD, is the Michael Armellino Professor of Finance in the Stern School of Business at New York University. He is the 2003 Nobel Laureate in Economic Sciences, Director of the New York University Stern Volatility Institute, and co-founding President of the Society for Financial Econometrics. Scott Murray, PhD, is an Assistant Professor in the Department of Finance in the J. Mack Robinson College of Business at Georgia State University. He is the recipient of the 2014 Jack Treynor prize.

Download or read book Essays in Asset Pricing and Volatility Risk written by Gill Segal and published by . This book was released on 2016 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the third chapter ("From Private-Belief Formation to Aggregate-Vol Oscillation") I propose a model that relies on learning and informational asymmetry, for the endogenous amplification of the conditional volatility in macro aggregates and of cross-sectional dispersion during economic slowdowns. The model quantitatively matches the fluctuations in the conditional volatility of macroeconomic growth rates, while generating realistic real business-cycle moments. Consistently with the data, shifts in the correlation structure between firms are an important source of aggregate volatility fluctuations. Cross-firm correlations rise in downturns due to a higher weight that firms place on public information, which causes their beliefs and policies to comove more strongly.

Download or read book Structural Stochastic Volatility in Asset Pricing Dynamics written by Reiner Franke and published by . This book was released on 2011 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Price Based Investment Strategies written by Adam Zaremba and published by Springer. This book was released on 2018-07-25 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This compelling book examines the price-based revolution in investing, showing how research over recent decades has reinvented technical analysis. The authors discuss the major groups of price-based strategies, considering their theoretical motivation, individual and combined implementation, and back-tested results when applied to investment across country stock markets. Containing a comprehensive sample of performance data, taken from 24 major developed markets around the world and ranging over the last 25 years, the authors construct practical portfolios and display their performance—ensuring the book is not only academically rigorous, but practically applicable too. This is a highly useful volume that will be of relevance to researchers and students working in the field of price-based investing, as well as individual investors, fund pickers, market analysts, fund managers, pension fund consultants, hedge fund portfolio managers, endowment chief investment officers, futures traders, and family office investors.

Download or read book The Common Factor in Idiosyncratic Volatility written by Bernard Herskovic and published by . This book was released on 2014 with total page 59 pages. Available in PDF, EPUB and Kindle. Book excerpt: We show that firms' idiosyncratic volatility obeys a strong factor structure and that shocks to the common factor in idiosyncratic volatility (CIV) are priced. Stocks in the lowest CIV-beta quintile earn average returns 6.4% per year higher than those in the highest quintile. We provide evidence that the CIV factor is correlated with income risk faced by households. These three facts are consistent with a canonical incomplete markets heterogeneous-agent model. In the model, CIV is a priced state variable because an increase in idiosyncratic firm volatility raises the typical investor's marginal utility when markets are incomplete. The calibrated model matches the high degree of comovement in idiosyncratic volatilities, the CIV-beta return spread, and several other asset price moments.

Download or read book Essays on Idiosyncratic Volatility and Asset Pricing written by Fatma Sonmez Saryal and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, I study three aspects of idiosyncratic volatility. First, I examine the relation between idiosyncratic volatility and future stock returns. Next, I examine the share price effect and its interaction with the idiosyncratic volatility on stock returns. Finally, I examine the time series pattern of monthly aggregate monthly idiosyncratic volatility. In the first chapter, I examine the relation between idiosyncratic volatility and future stock returns. In their paper, Ang, Hodrick, Xing, and Zhang [AHXZ (2006)] show that idiosyncratic volatility is inversely related to future stock returns: low idiosyncratic volatility stocks earn higher returns than do high idiosyncratic volatility stocks. The main contribution of this paper is to provide evidence that it is the month to month changes in idiosyncratic volatility that produce AHXZ's results. More specifically, a portfolio of stocks that move from Quintile 1 (low idiosyncratic volatility) to Quintile 5 (high idiosyncratic volatility) earns an average risk-adjusted return of 5.64% per month in the month of the change. Whereas, a portfolio of stocks that move from the highest to the lowest idiosyncratic volatility quintiles earns -0.94% per month in the month of the change. Eliminating all firm-month observations with idiosyncratic volatility quintile changes, I find the opposite results to AHXZ: it is persistently low idiosyncratic volatility stocks that earn lower returns than do persistently high idiosyncratic volatility stocks. I find that many of the extreme changes in idiosyncratic volatility are related to business events. In general, the pattern usually observed is that an announcement or an event increases uncertainty about a stock and hence, its idiosyncratic volatility increases. After the event, uncertainty is resolved and the stock returns to a lower idiosyncratic volatility quintile. In the second chapter, I examine how the level of the share price interacts with idiosyncratic volatility to affect future stock returns. Ignoring transaction costs, a trading strategy that is long high-priced and short low-priced stocks earns positive abnormal returns with respect to the Fama-French (1992) three factor model. However, the observed positive abnormal returns are less significant if momentum is taken into account via the Carhart (1997) four factor model. Also the relation between idiosyncratic volatility and future stock returns differs for price sorted portfolios: it is negative for low and mid-priced stocks but positive for high-priced ones. These results are robust for low and-mid-priced stocks even after momentum is included. However, the positive relation for high-priced stocks disappears due to relatively large loadings on momentum for high idiosyncratic volatility stocks. I also show that skewness and momentum are significant determinants of idiosyncratic volatility for low-priced stocks and high-priced stocks respectively. One implication is that the importance of idiosyncratic volatility for future stock returns may in part be due its role as a disguised risk factor: either for momentum for high-priced stocks and skewness for low and mid-priced stocks. In the third chapter, I investigate the time series pattern of aggregate monthly idiosyncratic volatility. It has been shown that new riskier listings in the US stock markets are a reason for the increase in idiosyncratic volatility during the period 1963-2004. First, I show that this is more pronounced for Nasdaq new listings. Second, I show that for Nasdaq, prior to 1994 low-priced new listings became riskier, whereas during the internet bubble period it is the higher-priced listings that became riskier. Third, I show that institutional holdings have increased over time and have had a different impact on each new listing group: a negative for pre-1994 listings and a positive impact for post-1994 listings. Hence, I conclude that the observed time-series pattern of idiosyncratic volatility is a result of the changing nature of Nasdaq's investor clientele.