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A Behavioral Explanation for the Negative Asymmetric Return-Volatility Relation

A Behavioral Explanation for the Negative Asymmetric Return-Volatility Relation
Author: Ann Marie Hibbert
Publisher:
Total Pages: 30
Release: 2019
Genre:
ISBN:

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We examine the short-term dynamic relation between the S&P 500 (Nasdaq 100) index return and changes in implied volatility at both the daily and intraday level. Neither the leverage hypothesis nor the volatility feedback hypothesis adequately explains the results. Alternatively, we propose that the behavior of traders (from the representativeness, affect, and extrapolation bias concepts of behavioral finance) is consistent with our empirical results of a strong daily and intraday negative return-implied volatility relation. Moreover, both the presence and magnitude of the negative relation and the asymmetry between return and implied volatility are most closely associated with extreme changes in the index returns. We also show that the strength of the relation is consistent with the implied volatility skew.


Application of the Concept of Dissonance to Explain the Phenomenon of Return-Volatility Relationship

Application of the Concept of Dissonance to Explain the Phenomenon of Return-Volatility Relationship
Author: Debasis Bagchi
Publisher:
Total Pages:
Release: 2014
Genre:
ISBN:

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In this paper, we attempt to provide a behavioral explanation to the observed asymmetric return-volatility relationship. In some cases, the affect heuristic, mental accounting and extrapolation bias may not be adequate to explain returnvolatility dynamics. We build up three hypotheses to establish whether return-volatility relationship is influenced by cognitive dissonance. We observe that both positive and negative relationships exist for return-volatility dynamics. We show that cognitive dissonance is responsible for return-volatility relationship and which can explain their observed negative and positive relationships. Our third hypothesis relates to significance of volatility feedback theory. We find that it is rejected, which confirms that volatility feedback theory is not always tenable for explaining asymmetric return-volatility relationship.


Strategic Disclosure as an Explanation for Asymmetric Return Volatility

Strategic Disclosure as an Explanation for Asymmetric Return Volatility
Author: Jonathan L. Rogers
Publisher:
Total Pages: 49
Release: 2011
Genre:
ISBN:

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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.


A Behavioral Approach to Asset Pricing

A Behavioral Approach to Asset Pricing
Author: Hersh Shefrin
Publisher: Elsevier
Total Pages: 636
Release: 2008-05-19
Genre: Business & Economics
ISBN: 0080482244

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Behavioral finance is the study of how psychology affects financial decision making and financial markets. It is increasingly becoming the common way of understanding investor behavior and stock market activity. Incorporating the latest research and theory, Shefrin offers both a strong theory and efficient empirical tools that address derivatives, fixed income securities, mean-variance efficient portfolios, and the market portfolio. The book provides a series of examples to illustrate the theory. The second edition continues the tradition of the first edition by being the one and only book to focus completely on how behavioral finance principles affect asset pricing, now with its theory deepened and enriched by a plethora of research since the first edition


Nonparametric Econometric Methods and Application

Nonparametric Econometric Methods and Application
Author: Thanasis Stengos
Publisher: MDPI
Total Pages: 224
Release: 2019-05-20
Genre: Business & Economics
ISBN: 3038979643

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The present Special Issue collects a number of new contributions both at the theoretical level and in terms of applications in the areas of nonparametric and semiparametric econometric methods. In particular, this collection of papers that cover areas such as developments in local smoothing techniques, splines, series estimators, and wavelets will add to the existing rich literature on these subjects and enhance our ability to use data to test economic hypotheses in a variety of fields, such as financial economics, microeconomics, macroeconomics, labor economics, and economic growth, to name a few.


Unravelling the Asymmetric Volatility Puzzle

Unravelling the Asymmetric Volatility Puzzle
Author: Mihály Ormos
Publisher:
Total Pages: 26
Release: 2017
Genre:
ISBN:

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This paper discusses a novel explanation for asymmetric volatility based on the anchoring behavioral pattern. Anchoring as a heuristic bias causes investors focusing on recent price changes and price levels, which two lead to a belief in continuing trend and mean-reversion respectively. The empirical results support our theoretical explanation through an analysis of large price fluctuations in the S&P 500 and the resulting effects on implied and realized volatility. These results indicate that asymmetry (a negative relationship) between shocks and volatility in the subsequent period indeed exists. Moreover, contrary to previous research, our empirical tests also suggest that implied volatility is not simply an upward biased predictor of future deviation compensating for the variance of the volatility but rather, due to investors' systematic anchoring to losses and gains in their volatility forecasts, it is a co- integrated yet asymmetric over/under estimated financial instrument. We also provide results indicating that the medium-term implied volatility (measured by the VIX Index) is an unbiased though inefficient estimation of realized volatility, while in contrast, the short-term volatility (measured by the recently introduced VXST Index representing the 9-day implied volatility) is also unbiased and yet efficient.


Handbook of Research on Stock Market Investment Practices and Portfolio Management

Handbook of Research on Stock Market Investment Practices and Portfolio Management
Author: Sharma, Renuka
Publisher: IGI Global
Total Pages: 496
Release: 2022-06-30
Genre: Business & Economics
ISBN: 1668455307

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For the first time since the Great Depression, financial market issues threatened to derail global economic growth. This global financial crisis forced a reconsideration of systemic vulnerabilities with knowledge of numerous investment options and portfolio management strategies becoming more critical than ever before. A complete study of investment choices and portfolio management approaches in both the developing and developed worlds is required to achieve stability and sustainability. The Handbook of Research on Stock Market Investment Practices and Portfolio Management gives a thorough view on the recent developments in investment options and portfolio management strategies in global stock markets. Learning about the many investment options and portfolio management strategies available in the event of a worldwide catastrophe is critical. Covering topics such as AI-based technical analysis, marketing theory, and sharing economy, this major reference work is an excellent resource for investors, traders, economists, business leaders and executives, marketers, students and faculty of higher education, librarians, researchers, and academicians.


European 'Fear' Indices - Evidence Before and During the Financial Crisis

European 'Fear' Indices - Evidence Before and During the Financial Crisis
Author: Wolfgang Aussenegg
Publisher:
Total Pages: 46
Release: 2013
Genre:
ISBN:

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We document a negative and asymmetric contemporaneous relation of European stock and implied volatility returns. The negative relation is significantly more pronounced at the highest quantile of the stock market return distribution (i.e. largest price decrease). The relation between stock returns and implied volatility exhibits differences consistent with European institutional and cultural clusters. For example, German stock market tends to be more responsive to changes in implied volatility compared to UK stock market. In addition, the volatility spread for these two markets persist for a longer period compared to other European volatility spreads. The degree of integration between the leading European (UK, Germany and France) volatility markets, however, is very high and shocks on the implied volatility spread die out within a few days. Our Markov switching model distinguishes three volatility regimes. Large changes in both, implied volatility and stock returns increase the probability that volatility enters a higher (from low to middle and from middle to high) volatility regime. Factor loadings obtained by principal component analysis (PCA) of volatility returns are also regime dependent. Compared to US, the changes in European implied volatility tend to be more driven by tilts and non-linear movements of the volatility term structure. Our findings lend support to the behavioral explanation of the stock return-implied volatility relation and have implications for risk management.


Applied Quantitative Methods in Finance‏‏‏

Applied Quantitative Methods in Finance‏‏‏
Author: Kaveh Sheibani
Publisher: ORLAB Analytics
Total Pages: 79
Release: 2014-12-31
Genre: Business & Economics
ISBN:

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Quantitative methods in finance form a wide research field which addresses many different problems and practical applications. The papers of this special issue, however, all contribute to one of the core application areas in finance: investment decisions. In doing so, they apply a variety of methodological approaches and address different aspects of the overall investment decision. But they share both a very practical perspective and the direct empirical verification of the given proposals.


Emerging Issues in Finance

Emerging Issues in Finance
Author: Dr Saif Siddiqui
Publisher: Dr Saif Siddiqui
Total Pages: 845
Release: 2017-10-11
Genre: Education
ISBN: 8192233146

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Edited Conference Proceedings Volume I