Asymmetric effect of oil prices on stock market prices: New evidence from oil-exporting and oil-importing countries

2021 ◽  
Vol 70 ◽  
pp. 101946
Author(s):  
Shabir Mohsin Hashmi ◽  
Bisharat Hussain Chang ◽  
Niaz Ahmed Bhutto
Author(s):  
Panos Priftakis ◽  
M. Ishaq Bhatti

There are several hypotheses suggesting that some properties of oil prices make it interesting to focus on the predictive ability of oil prices for stock returns. This paper reviews some models recently used in the literature and selects the most suitable one for measuring the relationships and/or linkages of oil prices to the stock markets of the selected five oil producing countries in the Middle East. In particular, the paper uses two methodologies to test for the presence of a cointegrating relationship between the two variables and an unobserved components model to find a relationship between the two variables. The results rejects convincingly that there is no linkage between the prices of oil and the stock market prices in these oil-based economies.  


Author(s):  
David Adugh Kuhe

This study investigates the dynamic relationship between crude oil prices and stock market price volatility in Nigeria using cointegrated Vector Generalized Autoregressive conditional Heteroskedasticity (VAR-GARCH) model. The study utilizes monthly data on the study variables from January 2006 to April 2017 and employs Dickey-Fuller Generalized least squares unit root test, simple linear regression model, unrestricted vector autoregressive model, Granger causality test and standard GARCH model as methods of analysis. Results shows that the study variables are integrated of order one, no long-run stable relationship was found to exist between crude oil prices and stock market prices in Nigeria. Both crude oil prices and stock market prices were found to have positive and significant impact on each other indicating that an increase in crude oil prices will increase stock market prices and vice versa. Both crude oil prices and stock market prices were found to have predictive information on one another in the long-run. A one-way causality ran from crude oil prices to stock market prices suggesting that crude oil prices determine stock prices and are a driven force in Nigerian stock market. Results of GARCH (1,1) models show high persistence of shocks in the conditional variance of both returns. The conditional volatility of stock market price log return was found to be stable and predictable while that of crude oil price log return was found to be unstable and unpredictable, although a dependable and dynamic relationship between crude oil prices and stock market prices was found to exist. The study provides some policy recommendations.


2021 ◽  
pp. 097215092199049
Author(s):  
Preeti Sharma ◽  
Avinash K. Shrivastava

The current study intends to find out the linkages between crude oil prices and economic activity in the context of Indian economy. The macroeconomic variables such as gross domestic product (GDP), unemployment, industrial output, inflation, exchange rate and stock market prices have been used as a proxy to economic activity. We have analysed the sample data of 30 years, that is, from year 1991 to 2020. To inspect the short-run relationship between oil prices and the above-mentioned macroeconomic variables, Granger causality test has been applied after removing the presence of unit root through differencing the series. To investigate the long-run relationship, vector error correction model (VECM) has been applied after testing cointegration through the Johansen method of cointegration. The findings of the study show that oil prices have short-run causality with all the variables, that is, GDP, unemployment, industrial output, inflation, exchange rate and stock market prices, while they have a long association with inflation, industrial production and unemployment. Further we find a negative relationship between oil prices and unemployment, industrial output, inflation and exchange rate and a positive relationship with GDP and stock prices.


2020 ◽  
Vol 12 (2) ◽  
pp. 43-64 ◽  
Author(s):  
Muhammad Saeed ◽  
Muhammad Hafeez ◽  
Ghulam Mustafa Shaikh ◽  
Muhammad Shahid

The previous studies on stock market modelling in Pakistan context has assumed a linear relationship between stock market performance and its determinants. Most of the macroeconomic variables do not have linear properties, therefore considering asymmetric features of macroeconomic fundamentals, this study is a first attempt to explore the asymmetric impact of gold and oil prices on the stock market performance of Pakistan, covering the time period of 1990 – 2016. For the consideration of nonlinear, short-run and long-run associations between gold, oil prices and stock market performance, a novel approach of nonlinear ARDL or asymmetric ARDL is being used. The long-run parameters of the study affirm the asymmetric association between gold, oil prices and stock market performance, while short-run dynamics validate the asymmetric association between oil prices and stock market performance. Furthermore, negative and significant link between the exchange rate and the stock market was also found. The empirical outcomes propose that ignoring intrinsic asymmetries may lead to the misrepresentative implications in case of stock market performance. The achieved suggestion of asymmetries, both short and long-run dynamics could be of key prominence for more effective policy-making and to forecast the Pakistan Stock Market.


2020 ◽  
Vol 2 (1) ◽  
pp. 56-65
Author(s):  
Bhim Prasad Panta

Background: Stock market plays a crucial role in the financial system of a country. It can be viewed as a channel through which resources are properly channelized. It enables the governments and industry to raise long-term capital for financing new projects. The stock markets of developing economies are likely to be sensitive to various macro-economic factors such as GDP, imports, exports, exchange rates etc., when there is high demand on financial products, as a constituent of financial market, ultimately stock market needs to develop. Many factors can be a signal to stock market participants to expect a higher or lower return when investing in stock and one of these factors are macroeconomic variables and thus, macro-economic variables tend to effect on stock market development. Objective: This study examines the linkage between stock market prices (NEPSE index) and five macro-economic variables, namely; real GDP, broad money supply, interest rate, inflation, and exchange rate using ARDL model and to explain the behavior of the Nepal Stock Exchange Index. Methods: The ECM which is delivered from ARDL model through simple linear transformation to integrate short run adjustments with long run equilibrium without losing long run information. The analysis has been done by using 25 years' annual data from 1994 to 2019. Findings: The result suggests that the fluctuation of Nepse Index in long run is strongly associated with broad money supply, interest rate, inflation, and exchange rate. Conclusion: Though Nepalese stock market is in primitive stage, broad money supply, interest rate, inflation and exchange rate are major factors affecting stock market price of Nepal. So, policies and strategies should be made and directed taking these in to consideration. Implication: The findings of research can be helpful to understand the behavior of Nepalese stock market and develop policies for market stabilization.


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