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Volatility Components Leverage Effects And The Return Volatility Relations
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Book Synopsis Volatility Components, Leverage Effects, and the Return-Volatility Relations by : Junye Li
Download or read book Volatility Components, Leverage Effects, and the Return-Volatility Relations written by Junye Li and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper investigates the return-volatility relation by taking into account the model specification problem. The market volatility is modeled to have two components, one due to the diffusion risk and the other due to the jump risk. The model indicates that under the absence of leverage effects, it becomes a variant of Merton's ICAPM, while under the existence of leverage effects, the return-volatility relations are determined by interactions between risk premia and leverage effects. Empirically, I find a robust negative relationship between the excess return and the jump volatility, whereas the relationship between the excess return and the diffusion volatility is hard to identify notwithstanding that the indirect evidence of the positive relationship exists.
Book Synopsis Risk-Return Relationship in High Frequency Data by : Jihyun Lee
Download or read book Risk-Return Relationship in High Frequency Data written by Jihyun Lee and published by . This book was released on 2008 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study investigates the relationship between the return on a stock index and its volatility using high frequency data. Two well-known hypotheses are reexamined: the leverage effect and the volatility feedback effect hypotheses. In an analysis of the five-minute data from the Samp;P500 index, two distinct characteristics of high frequency data were found. First, it was noted that the sign of the relationship between the smallest wavelet scale components for return and volatility differs from those between other scale components. Second, it was found that long memory exists in the daily realized volatility. The study further demonstrates how these findings affect the risk and return relationship.In the regression of changes in volatility on returns, it was found that the leverage effect does not appear in intraday data, in contrast to the results for daily data. It is believed that the difference can be attributed to the different relationships between scale components. By applying wavelet multiresolution analysis, it becomes clear that the leverage effect holds true between return and volatility components with scales equal to or larger than twenty minutes. However, these relationships are obscured in a five-minute data analysis because the smallest scale component accounts for a dominant portion of the variation of return. In testing the volatility feedback hypothesis, a modified model was used to incorporate apparent long memory in the daily realized volatility. This makes both sides of the test model balanced in integration order. No evidence of a volatility feedback effect was found under these stipulations.The results of this study reinforce the horizon dependency of the relationships. Hence, investors should assume different risk-return relationships for each horizon of interest. Additionally, the results show that the introduction of the long memory property to the proposed model is critical in the testing of risk-return relationships.
Book Synopsis The Risk-return Tradeoff and Leverage Effect in a Stochastic Volatility-in-mean Model by : Bent Jesper Christensen
Download or read book The Risk-return Tradeoff and Leverage Effect in a Stochastic Volatility-in-mean Model written by Bent Jesper Christensen and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Volatility Puzzles by : Tim Bollerslev
Download or read book Volatility Puzzles written by Tim Bollerslev and published by . This book was released on 2003 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Leverage and Volatility Feedback Effects in High-Frequency Data by : Tim Bollerslev
Download or read book Leverage and Volatility Feedback Effects in High-Frequency Data written by Tim Bollerslev and published by . This book was released on 2008 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: We examine the relationship between volatility and past and future returns in high-frequency equity market data. Consistent with a prolonged leverage effect, we find the correlations between absolute high-frequency returns and current and past high-frequency returns to be significantly negative for several days, while the reverse cross-correlations between absolute returns and future returns are generally negligible. Based on a simple aggregation formula, we demonstrate how the high-frequency data may similarly be used in more effectively assessing volatility asymmetries over longer daily return horizons. Motivated by the striking cross-correlation patterns uncovered in the high-frequency data, we investigate the ability of some popular continuous-time stochastic volatility models for explaining the observed asymmetries. Our results clearly highlight the importance of allowing for multiple latent volatility factors at very fine time scales in order to adequately describe and understand the patterns in the data.
Author :A. R. Pagan Publisher :London : Centre for Decision Sciences and Econometrics, University of Western Ontario ISBN 13 : Total Pages :52 pages Book Rating :4.X/5 (1 download)
Book Synopsis The Econometric Analysis of Models with Risk Terms by : A. R. Pagan
Download or read book The Econometric Analysis of Models with Risk Terms written by A. R. Pagan and published by London : Centre for Decision Sciences and Econometrics, University of Western Ontario. This book was released on 1986 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Effect of Long Memory in Volatility on Stock Market Fluctuations by : M. Ørregaard Nielsen
Download or read book The Effect of Long Memory in Volatility on Stock Market Fluctuations written by M. Ørregaard Nielsen and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Apophenia? Data Under-Mining the Volatility Leverage-Effect by : Alessandro Palandri
Download or read book Apophenia? Data Under-Mining the Volatility Leverage-Effect written by Alessandro Palandri and published by . This book was released on 2014 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: The inverse relation between stock returns and their volatility, known as volatility leverage-effect (VLE), is documented as a strikingly robust empirical regularity. This paper argues that existing explanations of the phenomenon either suffer from logical inconsistencies or have secondary implications that contradict empirical evidence. Robustness of the empirical findings is re-examined by conducting a thorough investigation of VLE in S&P500 data. Combining misspecification analysis with a novel approach to outlier detection reveals that the VLE relation is indeed very fragile. Implications range from the empirical validity of VLE itself to its use as a moment condition for structural models.
Book Synopsis Cointegration, Causality, and Forecasting by : Halbert White
Download or read book Cointegration, Causality, and Forecasting written by Halbert White and published by Oxford University Press, USA. This book was released on 1999 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of essays in honour of Clive Granger. The chapters are by some of the world's leading econometricians, all of whom have collaborated with and/or studied with both) Clive Granger. Central themes of Granger's work are reflected in the book with attention to tests for unit roots and cointegration, tests of misspecification, forecasting models and forecast evaluation, non-linear and non-parametric econometric techniques, and overall, a careful blend of practical empirical work and strong theory. The book shows the scope of Granger's research and the range of the profession that has been influenced by his work.
Book Synopsis Volatility and Correlation by : Riccardo Rebonato
Download or read book Volatility and Correlation written by Riccardo Rebonato and published by John Wiley & Sons. This book was released on 2005-07-08 with total page 864 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Volatility and Correlation 2nd edition: The Perfect Hedger and the Fox, Rebonato looks at derivatives pricing from the angle of volatility and correlation. With both practical and theoretical applications, this is a thorough update of the highly successful Volatility & Correlation – with over 80% new or fully reworked material and is a must have both for practitioners and for students. The new and updated material includes a critical examination of the ‘perfect-replication’ approach to derivatives pricing, with special attention given to exotic options; a thorough analysis of the role of quadratic variation in derivatives pricing and hedging; a discussion of the informational efficiency of markets in commonly-used calibration and hedging practices. Treatment of new models including Variance Gamma, displaced diffusion, stochastic volatility for interest-rate smiles and equity/FX options. The book is split into four parts. Part I deals with a Black world without smiles, sets out the author’s ‘philosophical’ approach and covers deterministic volatility. Part II looks at smiles in equity and FX worlds. It begins with a review of relevant empirical information about smiles, and provides coverage of local-stochastic-volatility, general-stochastic-volatility, jump-diffusion and Variance-Gamma processes. Part II concludes with an important chapter that discusses if and to what extent one can dispense with an explicit specification of a model, and can directly prescribe the dynamics of the smile surface. Part III focusses on interest rates when the volatility is deterministic. Part IV extends this setting in order to account for smiles in a financially motivated and computationally tractable manner. In this final part the author deals with CEV processes, with diffusive stochastic volatility and with Markov-chain processes. Praise for the First Edition: “In this book, Dr Rebonato brings his penetrating eye to bear on option pricing and hedging.... The book is a must-read for those who already know the basics of options and are looking for an edge in applying the more sophisticated approaches that have recently been developed.” —Professor Ian Cooper, London Business School “Volatility and correlation are at the very core of all option pricing and hedging. In this book, Riccardo Rebonato presents the subject in his characteristically elegant and simple fashion...A rare combination of intellectual insight and practical common sense.” —Anthony Neuberger, London Business School
Book Synopsis Strategic Disclosure as an Explanation for Asymmetric Return Volatility by : Jonathan L. Rogers
Download or read book Strategic Disclosure as an Explanation for Asymmetric Return Volatility written by Jonathan L. Rogers and published by . This book was released on 2011 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt: Strategic disclosure, which we define as the reporting of good news and the withholding of bad news, provides an explanation for a well-documented dynamic pattern in returns: The negative relation between return shocks and conditional return volatility. Black (1976) dubbed this relation the quot;leverage effect.quot; With strategic reporting, positive share price responses in the event of good news result from news arrival. Negative share price responses, in contrast, are more likely due to an inference of bad news, which implies a smaller reduction in residual uncertainty. We document that the leverage effect is stronger in the return series of individual firms that are more likely to disclose strategically as measured by their litigation risk incentives. Patterns in returns/return volatility in market indices also are consistent with strategic disclosure as an explanation. These analyses are an important component of the study because they indicate that strategic disclosure decisions by individual firms are strong enough not only to create patterns in their own stock returns, but also that they may be powerful enough to explain market-wide patterns despite the covariance effects of aggregation of disclosure behavior over multiple firms.
Book Synopsis Commonality, Information and Return/Return Volatility - Volume Relationship by : Xiaojun He
Download or read book Commonality, Information and Return/Return Volatility - Volume Relationship written by Xiaojun He and published by . This book was released on 2003 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper develops a common-factor model to investigate relationships between security returns/return volatility and trading volume. The model generalizes Tauchen and Pitts' (1983) MDH model by capturing possible interactions among securities. In our model, both price changes and trading volume are governed by three kinds of mutually independent variables: common factor variables, latent information variables and idiosyncratic variables. Despite its similarity to Hasbrouck and Seppi's (2001) model in terms of the form, the model extraordinarily allows us to identify the cause of interactions among securities by decomposing factor loadings into constant and random components. Three key implications are reached from our model. First, common factor structures in returns and trading volume stem from information flows. Second, returns' common factors are not related to trading volume's common factors. This implication directly opposes Hasbrouck and Seppi's (2001) assumption. Finally, cross-firm variations of returns and volume respectively rely on underlying latent information flows. The positive relation between return volatility and volume also results only from underlying latent information flows. Thus, common factor structures in returns and trading volume have no additional explanatory power in cross-firm variations and the positive return volatility-volume relationship. We fit the model for intraday data of Dow Jones 30 stocks using the EM algorithm. The results support specifications of our model. The empirical results demonstrate 3-factor structures in returns and trading volume, respectively. All 30 stocks in our sample are governed by at least one common factor. This fact implies that our model outperforms Tauchen and Pitts' (1983) model because their model is a special case of our model without the presence of common factors. We also show that after controlling the effect of information flows, persistence in return variance disappears.
Book Synopsis The Handbook of Hybrid Securities by : Jan De Spiegeleer
Download or read book The Handbook of Hybrid Securities written by Jan De Spiegeleer and published by John Wiley & Sons. This book was released on 2014-05-19 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing a revolutionary new quantitative approach to hybrid securities valuation and risk management To an equity trader they are shares. For the trader at the fixed income desk, they are bonds (after all, they pay coupons, so what's the problem?). They are hybrid securities. Neither equity nor debt, they possess characteristics of both, and carry unique risks that cannot be ignored, but are often woefully misunderstood. The first and only book of its kind, The Handbook of Hybrid Securities dispels the many myths and misconceptions about hybrid securities and arms you with a quantitative, practical approach to dealing with them from a valuation and risk management point of view. Describes a unique, quantitative approach to hybrid valuation and risk management that uses new structural and multi-factor models Provides strategies for the full range of hybrid asset classes, including convertible bonds, preferreds, trust preferreds, contingent convertibles, bonds labeled "additional Tier 1," and more Offers an expert review of current regulatory climate regarding hybrids, globally, and explores likely political developments and their potential impact on the hybrid market The most up-to-date, in-depth book on the subject, this is a valuable working resource for traders, analysts and risk managers, and a indispensable reference for regulators
Book Synopsis Stock Return Volatility and Capital Structure Decisions by : Hui Chen
Download or read book Stock Return Volatility and Capital Structure Decisions written by Hui Chen and published by . This book was released on 2016 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stock return volatility significantly predicts active leverage adjustment, consistent with the trade-off theory. Firms respond asymmetrically to rising volatility instead of falling volatility, more with debt reduction than equity issuance. The forecasting power of stock return volatility mostly resides on surprise (idiosyncratic) volatility, as a proxy for uncertainty; while the forecasting power of expected (systematic) volatility is largely subsumed by those of firm fundamentals and market information. Falling earning growth appears to be the channel through which increasing volatility predicts leverage reduction and investment contraction.
Book Synopsis The Leverage Effect in Stochastic Volatility by : Amaan Mehrabian
Download or read book The Leverage Effect in Stochastic Volatility written by Amaan Mehrabian and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: A striking empirical feature of many financial time series is that when the price drops, the future volatility increases. This negative correlation between the financial return and future volatility processes was initially addressed in Black 76 and explained based on financial leverage, or a firm's debt-to-equity ratio: when the price drops, financial leverage increases, the firm becomes riskier, and hence, the future expected volatility increases. The phenomenon is, therefore, traditionally been named the leverage effect. In a discrete time Stochastic Volatility (SV) model framework, the leverage effect is often modelled by a negative correlation between the innovation processes of return and volatility equations. These models can be represented as state space models in which the returns and the volatilities are considered as the observed and the latent state variables respectively. Including the leverage effect in the SV model not only results in a better fit ...
Book Synopsis Reexaming the Relationship Between Stock Returns and Stock Return Volatility by : Gregory R. Duffee
Download or read book Reexaming the Relationship Between Stock Returns and Stock Return Volatility written by Gregory R. Duffee and published by . This book was released on 1992 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Beast on Wall Street by : Robert A. Haugen
Download or read book Beast on Wall Street written by Robert A. Haugen and published by Pearson. This book was released on 1999 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is now abundantly clear that stock volatility is a contagious disease that spreads virulently from market to market around the world. Price changes in one market drive subsequent price changes in that market as well as in others. In Beast, Haugen makes a compelling case for the fact that even under normal conditions, fully 80 percent of stock volatility is price driven. Moreover, this volatility is far from benign. It acts to reduce the level of investment spending and constitutes a significant and permanent drag on economic growth. Price-driven volatility is unstable. Dramatic and unpredictable explosions in price-driven volatility can send stock markets in a downward spiral and cause significant disruptions in economic activity. Haugen argues that this indeed happened in 1929 and 1930. If volatility in Asian markets persists, it can easily become the source of the problem rather than merely a symptom.
