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

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No
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Average
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Average
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Top 10%

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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
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OpenCitations Citation Count
5

Source

International Journal of Finance & Economics

Volume

27

Issue

1

Start Page

1085

End Page

1100

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CrossRef : 1

Scopus : 6

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Mendeley Readers : 19

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6

checked on Feb 19, 2026

Web of Science™ Citations

7

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1

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0.73991649

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