Contemporaneous dependence between euro, crude oil, and gold returns and their respective implied volatility changes. Evidence from the local Gaussian correlation approach

被引:0
作者
Fousekis, Panos [1 ]
机构
[1] Aristotle Univ Thessaloniki, Dept Econ, Thessaloniki, Greece
关键词
Euro; Crude oil; Gold; Returns; Implied volatility; C1; G1; PRICE;
D O I
10.1108/SEF-11-2022-0531
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
PurposeThis study aims to assess the contemporaneous dependence between euro, crude oil and gold returns and their respective implied volatility changes. Design/methodology/approachThe empirical analysis relies on daily data for the period 2015-2022 and the local Gaussian correlation (LGC) approach that is suitable for estimating dependence between two stochastic processes at any point of their joint distribution. Findings(a) The global correlation coefficients are negative for the euro and crude oil and positive for gold, implying that in the first two markets' traders are more concerned with sudden price downswings while in the third with sudden upswings. (b) The detailed local analysis, however, shows that traders 2019 attitudes may change with the underlying state of the market and that risk reversals are more likely to occur at the upper extremes of the joint distributions. (c) The pattern of dependence between price returns and implied volatility changes is asymmetric. Originality/valueTo the best of the author's knowledge, this is the first work that uses the highly flexible LGC approach to analyze the link between price returns and implied volatility changes either in stock or in commodities futures markets. The empirical results provide useful insights into traders' risk attitudes in different market states.
引用
收藏
页码:795 / 813
页数:19
相关论文
共 35 条
[1]   What makes firms vulnerable to the Russia-Ukraine crisis? [J].
Abbassi, Wajih ;
Kumari, Vineeta ;
Pandey, Dharen Kumar .
JOURNAL OF RISK FINANCE, 2023, 24 (01) :24-39
[2]   An inverted U-shaped crude oil price return-implied volatility relationship [J].
Agbeyegbe, Terence D. .
REVIEW OF FINANCIAL ECONOMICS, 2015, 27 :28-45
[3]   Is gold a hedge or a safe-haven asset in the COVID-19 crisis? [J].
Akhtaruzzaman, Md ;
Boubaker, Sabri ;
Lucey, Brian M. ;
Sensoy, Ahmet .
ECONOMIC MODELLING, 2021, 102
[4]   Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks [J].
Ando, Tomohiro ;
Greenwood-Nimmo, Matthew ;
Shin, Yongcheol .
MANAGEMENT SCIENCE, 2022, 68 (04) :2401-2431
[5]   Oil and stock markets before and after financial crises: A local Gaussian correlation approach [J].
Bampinas, Georgios ;
Panagiotidis, Theodore .
JOURNAL OF FUTURES MARKETS, 2017, 37 (12) :1179-1204
[6]   Volatility impacts on the European banking sector: GFC and COVID-19 [J].
Batten, Jonathan A. ;
Choudhury, Tonmoy ;
Kinateder, Harald ;
Wagner, Niklas F. .
ANNALS OF OPERATIONS RESEARCH, 2023, 330 (1-2) :335-360
[7]   Recognizing and visualizing departures from independence in bivariate data using local Gaussian correlation [J].
Berentsen, Geir Drage ;
Tjostheim, Dag .
STATISTICS AND COMPUTING, 2014, 24 (05) :785-801
[8]  
Berentsen GD, 2014, J STAT SOFTW, V56, P1
[9]   Heterogeneous impacts of wars on global equity markets: Evidence from the invasion of Ukraine [J].
Boubaker, Sabri ;
Goodell, John W. ;
Pandey, Dharen Kumar ;
Kumari, Vineeta .
FINANCE RESEARCH LETTERS, 2022, 48
[10]  
Chortane S. G., 2022, J. Econ. Asymmetries, V26, DOI DOI 10.1016/J.JECA.2022.E00265