The asymmetric relationship between returns and implied volatility: Evidence from global stock markets

被引:23
|
作者
Bekiros, Stelios [1 ,2 ]
Jlassi, Mouna [3 ]
Naoui, Kamel [4 ,6 ]
Uddin, Gazi Salah [5 ]
机构
[1] European Univ Inst, Florence, Italy
[2] IPAG Business Sch, 184 Blvd St Germain, F-75006 Paris, France
[3] Tilburg Univ, Tilburg Sch Econ & Management, Warandelaan, NL-25037 AB Tilburg, Netherlands
[4] Univ Manouba, Manouba, Tunisia
[5] Linkoping Univ, Dept Management & Engn, SE-58183 Linkoping, Sweden
[6] Univ Manouba, Business Sch Tunis, Dept Finance, Campus Univ, La Manouba 2010, Tunisia
关键词
Implied volatility; Quantile regression; Behavioral bias; Predictability; RISK; FEAR; DYNAMICS;
D O I
10.1016/j.jfs.2017.05.006
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We investigate the asymmetric relationship between returns and implied volatility for 20 developed and emerging international markets. In particular we examine how the sign and size of return innovations affect the expectations of daily changes in volatility. Our empirical findings indicate that the conditional contemporaneous return-volatility relationship varies not only based on the sign of the expected returns but also upon their magnitude, according to recent results from the behavioral finance literature. We find evidence of an asymmetric and reverse return-volatility relationship in many advanced, Asian, LatinAmerican, European and South African markets. We show that the US market displays the highest reaction to price falls, Asian markets present the lowest sensitivity to volatility expectations, while the Euro area is characterized by a homogeneous response both in terms of direction and impact. These results may be safely attributed to cultural and societal characteristics. An extensive quantile regression analysis demonstrates that the detected asymmetric pattern varies particularly across the extreme distribution tails i.e., in the highest/lowest quantile ranges. Indeed, the classical feedback and leverage hypotheses appear not plausible, whilst behavioral theories emerge as the new paradigm in real-world applications. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:156 / 174
页数:19
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