Tail Dependence between Crude Oil Volatility Index and WTI Oil Price Movements during the COVID-19 Pandemic
被引:16
作者:
Echaust, Krzysztof
论文数: 0引用数: 0
h-index: 0
机构:
Poznan Univ Econ & Business, Dept Operat Res & Math Econ, Al Niepodleglosci 10, PL-61875 Poznan, PolandPoznan Univ Econ & Business, Dept Operat Res & Math Econ, Al Niepodleglosci 10, PL-61875 Poznan, Poland
Echaust, Krzysztof
[1
]
Just, Malgorzata
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h-index: 0
机构:
Poznan Univ Life Sci, Dept Finance & Accounting, Wojska Polskiego 28, PL-60637 Poznan, PolandPoznan Univ Econ & Business, Dept Operat Res & Math Econ, Al Niepodleglosci 10, PL-61875 Poznan, Poland
Just, Malgorzata
[2
]
机构:
[1] Poznan Univ Econ & Business, Dept Operat Res & Math Econ, Al Niepodleglosci 10, PL-61875 Poznan, Poland
[2] Poznan Univ Life Sci, Dept Finance & Accounting, Wojska Polskiego 28, PL-60637 Poznan, Poland
OVX;
crude oil;
implied volatility;
tail dependence;
Value at Risk;
GARCH-EVT;
VALUE-AT-RISK;
CONDITIONAL HETEROSKEDASTICITY;
MARKET;
MODELS;
RETURN;
TIME;
OVX;
D O I:
10.3390/en14144147
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
This study investigates the dependence between extreme returns of West Texas Intermediate (WTI) crude oil prices and the Crude Oil Volatility Index (OVX) changes as well as the predictive power of OVX to generate accurate Value at Risk (VaR) forecasts for crude oil. We focus on the COVID-19 pandemic period as the most violate in the history of the oil market. The static and dynamic conditional copula methodology is used to measure the tail dependence coefficient (TDC) between the variables. We found a strong relationship in the tail dependence between negative returns on crude oil and OVX changes and the tail independence for positive returns. The time-varying copula discloses the strongest tail dependence of negative oil price shocks and the index changes during the COVID-19 health crisis. The findings indicate the ability of the OVX index to be a fear gauge with respect to the oil market. However, we cannot confirm the ability of OVX to improve one day-ahead forecasts of the Value at Risk. The impact of investors' expectations embedded in OVX on VaR forecasts seems to be negligible.
机构:
Fed Reserve Bank New York, Res & Stat Grp, 33 Liberty St, New York, NY 10045 USAFed Reserve Bank New York, Res & Stat Grp, 33 Liberty St, New York, NY 10045 USA
Adrian, Tobias
;
Brunnermeier, Markus K.
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h-index: 0
机构:
Princeton Univ, Dept Econ, Bendheim Ctr Finance, Princeton, NJ 08544 USA
NBER, CEPR, Cambridge, MA 02138 USA
CESIfo, Munich, GermanyFed Reserve Bank New York, Res & Stat Grp, 33 Liberty St, New York, NY 10045 USA
机构:
Univ Salerno, Dept Econ & Stat, Via Giovanni Paolo 2,132, I-84084 Salerno, ItalyUniv Salerno, Dept Econ & Stat, Via Giovanni Paolo 2,132, I-84084 Salerno, Italy
Amendola, Alessandra
;
Candila, Vincenzo
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h-index: 0
机构:
Univ Salerno, Dept Econ & Stat, Via Giovanni Paolo 2,132, I-84084 Salerno, ItalyUniv Salerno, Dept Econ & Stat, Via Giovanni Paolo 2,132, I-84084 Salerno, Italy
Candila, Vincenzo
;
Scognamillo, Antonio
论文数: 0引用数: 0
h-index: 0
机构:
Univ Salerno, Dept Econ & Stat, Via Giovanni Paolo 2,132, I-84084 Salerno, ItalyUniv Salerno, Dept Econ & Stat, Via Giovanni Paolo 2,132, I-84084 Salerno, Italy
机构:
Fed Reserve Bank New York, Res & Stat Grp, 33 Liberty St, New York, NY 10045 USAFed Reserve Bank New York, Res & Stat Grp, 33 Liberty St, New York, NY 10045 USA
Adrian, Tobias
;
Brunnermeier, Markus K.
论文数: 0引用数: 0
h-index: 0
机构:
Princeton Univ, Dept Econ, Bendheim Ctr Finance, Princeton, NJ 08544 USA
NBER, CEPR, Cambridge, MA 02138 USA
CESIfo, Munich, GermanyFed Reserve Bank New York, Res & Stat Grp, 33 Liberty St, New York, NY 10045 USA
机构:
Univ Salerno, Dept Econ & Stat, Via Giovanni Paolo 2,132, I-84084 Salerno, ItalyUniv Salerno, Dept Econ & Stat, Via Giovanni Paolo 2,132, I-84084 Salerno, Italy
Amendola, Alessandra
;
Candila, Vincenzo
论文数: 0引用数: 0
h-index: 0
机构:
Univ Salerno, Dept Econ & Stat, Via Giovanni Paolo 2,132, I-84084 Salerno, ItalyUniv Salerno, Dept Econ & Stat, Via Giovanni Paolo 2,132, I-84084 Salerno, Italy
Candila, Vincenzo
;
Scognamillo, Antonio
论文数: 0引用数: 0
h-index: 0
机构:
Univ Salerno, Dept Econ & Stat, Via Giovanni Paolo 2,132, I-84084 Salerno, ItalyUniv Salerno, Dept Econ & Stat, Via Giovanni Paolo 2,132, I-84084 Salerno, Italy