Journal article
A time-varying copula approach to oil and stock market dependence: The case of transition economies
Energy economics, Vol.39, pp.208-221
Sep 2013
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We employ the time-varying copula approach to investigate the conditional dependence between the Brent crude oil price and stock markets in the Central and Eastern European (CEE) transition economies. Our results show evidence of a positive dependence between the oil and the stock markets of the six CEE countries, which is indicative of a contagion between those markets, regardless of the changes in the oil price or the CEE stock index. Moreover, the dependence patterns in both the center and left tails of the return distributions change over time, particularly during the heart of the financial crisis, and are best described by the Survival Gumbel copulas. The empirical evidence also suggests that the lower tail dependence is much stronger than that of the upper tail, highlighting the importance of contagion during severe contractionary business cycles. Among the sample markets, Poland is shown to be particularly sensitive in this regard, while Hungary and Slovenia are the least sensitive.
•We investigate the oil–equity relationships for six CEE transition economies.•A time-varying copula approach is proposed to describe the dependence structure.•We find evidence of a positive dependence between the oil and the stock markets.•The dependence patterns change over time, particularly during the recent crisis.•The lower tail dependence is much stronger than that of the upper tail.
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Details
- Title
- A time-varying copula approach to oil and stock market dependence: The case of transition economies
- Creators
- Riadh Aloui - Tunis El Manar UniversityShawkat Hammoudeh - Drexel UniversityDuc Khuong Nguyen - IPAG Business School
- Publication Details
- Energy economics, Vol.39, pp.208-221
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Economics (School of Economics)
- Identifiers
- 991019167881604721
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