Oil and Stock Prices: New Evidence From a Time Varying Homogenous Panel Smooth Transitionvecmfor Seven Developing Countries
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
Wiley
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
This paper investigates the relationship between international oil price and stock prices applying the time varying causality testing over the period of 2000(M1)-2017(M3). The panel unit root and panel cointegration tests considering cross-section dependence are also employed. A time varying panel smooth transition vector error correction (TV-PSTRVEC) model is a developed and estimated for testing the presence of non-linear short-run and long-run causality, and cointegrating relationship between stock and oil prices. The empirical findings indicate that short and long-run causalities between oil price and stock prices are time-dependent. Moreover, oil price cause stock prices in the long-run. In the short-run, neutral effect exists between oil price and stock prices. These two findings are evidence of a strong exogeneity of oil price in time-dependent regimes which is also supporting the recent arguments and empirical findings.
Description
Keywords
causality, oil price, stock prices, time-varying nonlinearity, error correction, causality, 330, oil price, time dependent behavior, price determination, time-varying nonlinearity, stock market, panel data, oil industry, stock prices, developing world
Fields of Science
0211 other engineering and technologies, 02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering
Citation
WoS Q
Q2
Scopus Q
Q1

OpenCitations Citation Count
5
Source
International Journal of Finance & Economics
Volume
27
Issue
1
Start Page
1085
End Page
1100
PlumX Metrics
Citations
CrossRef : 1
Scopus : 6
Captures
Mendeley Readers : 19
SCOPUS™ Citations
6
checked on Feb 19, 2026
Web of Science™ Citations
7
checked on Feb 19, 2026
Page Views
1
checked on Feb 19, 2026
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