2013
DOI: 10.2139/ssrn.2253685
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Return-Volatility Relationship: Insights from Linear and Non-Linear Quantile Regression

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 9 publications
(15 citation statements)
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References 38 publications
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“…The results reported here are similar to those reported on stock volatility return, though the tail behaviors are slightly different. For example, Allen et al (2012), who used data from US and European exchanges reported that for most of the pairs they investigated, the negative dependence is greater for low and high quantiles. They also found that the lower tail negative dependence is also higher than the upper tail negative dependence.…”
Section: Data and Empirical Estimatessupporting
confidence: 64%
See 2 more Smart Citations
“…The results reported here are similar to those reported on stock volatility return, though the tail behaviors are slightly different. For example, Allen et al (2012), who used data from US and European exchanges reported that for most of the pairs they investigated, the negative dependence is greater for low and high quantiles. They also found that the lower tail negative dependence is also higher than the upper tail negative dependence.…”
Section: Data and Empirical Estimatessupporting
confidence: 64%
“…8 and 9 show the corresponding quantile curves with the unfiltered and filtered GARCH (1,1) series. It should be noted that neither Alexander (2008) nor Allen et al (2012) used some sort of filter to control for changes in volatility. Neglecting to control for volatility changes can lead to incorrect inference in a VaR analysis.…”
Section: Data and Empirical Estimatesmentioning
confidence: 99%
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“…The estimation of the conditional mean using OLS is extended to a similar estimation of an ensemble of models of various conditional quantile functions for data distribution (Allen et al, 2012).…”
Section: Empirical Modelmentioning
confidence: 99%
“…1 Several studies (Agbeyegbe, 2016;Allen et al, 2012;Badshah, 2013;Badshah, Frijns, Knif, & Tourani-Rad, 2016;Frijns et al, 2010 andHibbert, Daigler, &Dupoyet, 2008) employ the CBOE's implied volatility index as a proxy of uncertainty in the riskreturn relation. They find that the implied volatility-return relation is more pronounced than using historical volatility.…”
Section: Endnotesmentioning
confidence: 99%