Oil prices and geopolitical risks: What implications are offered via multi-domain investigations?

2019 ◽  
Vol 31 (3) ◽  
pp. 492-516 ◽  
Author(s):  
Boying Li ◽  
Chun-Ping Chang ◽  
Yin Chu ◽  
Bo Sui

This paper firstly investigates the frequency- and time-varying co-movement and causal relationship between crude oil prices (proxied by the West Texas Intermediate, Brent, Dubai and Nigerian Forcados spot oil prices) and geopolitical risks based on the wavelet analysis over the period of 1985–2016. Overall, our results demonstrate significant dynamic co-movement and causality in the varying time–frequency domains. We find high degree of co-movement between geopolitical risks and oil prices at high frequencies (in the short run) for the entire sample period; however, such a correlation does not exist at low frequencies (in the long run) for most of the sample period. We also find distinct patterns of causal relationships between geopolitical risks and oil prices across different benchmark markets. Results are robust when we control for global economic outlook. Our findings provide valuable implications for policy makers and oil market investors based on the dynamic relationship between geopolitical risks and oil prices.

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nikhil Yadav ◽  
Priyanka Tandon ◽  
Ravindra Tripathi ◽  
Rajesh Kumar Shastri

PurposeThe purpose of the study is to investigate the long-run and short-run dynamic relationship between crude oil prices and the movement of Sensex for the period of 2000–2018.Design/methodology/approachThe study uses the augmented Dickey–Fuller test for the presence of unit root, Johansen cointegration test for estimating the cointegration among the variables. Further, in the case of no cointegration found, the study employed the vector autoregression (VAR) model to estimate the long-run relationship and the Granger causality/Wald test for short-run relationship. The study also conducted tests for the prerequisites of the model: serial correlation, heteroskedasticity and normality of data.FindingsThe study found that both the variables, crude oil prices and Sensex are integrated of order 1, that is, I (1), and there is no cointegration between them. Further, the results proliferated from the VAR model unfold the marked effect of previous month crude oil prices (lag 1) on the movement of Indian stock market represented by Sensex considered as the benchmark index. Furthermore, VAR–Granger causality/block exogeneity Wald tests results indicated that there is a causal relationship between the crude oil prices and Sensex under the VAR environment. The model does not have any serial correlation and heteroskedasticity indicating toward the unbiased and robust estimates.Research limitations/implicationsThe study is conducted till the year 2018, and data for the present period (post-2018) is excluded due to ongoing trade issues between the USA and oil-exporting countries such as Iran. The current COVID-19 outbreak has also put serious issues. Due to limited time and availability of standardized data, researchers have considered Sensex as equity index only, but for more generalized research outcome few other equity indexes could have been taken for study.Originality/valueThe study is completely original in nature and is an extensive study of the relationship between the crude oil price and Indian stock market with reference to causality between the variables.


GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 96-104
Author(s):  
P. Sakthivel ◽  
S. Rajaswaminathan ◽  
R. Renuka ◽  
N. R.Vembu

This paper empirically discovered the inter-linkages between stock and crude oil prices before and after the subprime financial crisis 2008 by using Johansan co-integration and Granger causality techniques to explore both long and short- run relationships.  The whole data set of Nifty index, Nifty energy index, BSE Sensex, BSE energy index and oil prices are divided into two periods; before crisis (from February 15, 2005 to December31, 2007) and after crisis (from January 1, 2008 to December 31, 2018) are collected and analyzed. The results discovered that there is one-way causal relationship from crude oil prices to Nifty index, Nifty energy index, BSE Sensex and BSE energy index but not other way around in both periods. However, a bidirectional causality relationship between BSE Energy index and crude oil prices during post subprime financial crisis 2008. The co-integration results suggested that the absence of long run relationship between crude oil prices and market indices of BSE Sensex, BSE energy index, Nifty index and Nifty energy index before and after subprime financial crisis 2008.


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. 097215092199903
Author(s):  
Ebru Yuksel Haliloglu ◽  
M. Hakan Berument

Many studies have examined the asymmetric effect of US dollar-denominated crude oil prices on petroleum product prices. The ‘rockets and feathers’ argument suggests that a crude price increase raises petroleum product prices more than a corresponding decrease in crude prices lowers product prices. However, for the countries that do not use the US dollar as a medium of exchange, petroleum product prices are also affected by the exchange rates. This paper analysed the asymmetric effects of both US dollar-denominated crude oil prices and exchange rates on local currency-denominated diesel prices for 27 European countries in the short run as well as long run. The overall empirical evidence suggests that, in the short run, diesel prices react more to crude oil price increases than to a decrease, parallel to the ‘rockets and feathers’ argument. However, contrary to that argument, the long-run adjustment is the opposite. As for exchange rate shocks, again the ‘rockets and feathers’ argument holds and diesel prices respond more to exchange rate depreciation than appreciation in the short and long run.


2015 ◽  
Vol 32 (1) ◽  
pp. 11 ◽  
Author(s):  
Zied Ftiti ◽  
Khaled Guesmi ◽  
Frédéric Teulon Teulon ◽  
Slim Chouachi

<p>The aim of this study is to examine the degree of interdependence between oil prices and economic activity growth for four major countries (United Arab Emirates, Kuwait, Saudi Arabia, and Venezuela) in the Organization of the Petroleum Exporting Countries (OPEC) over the period from 3 September 2000 to 3 December 2010. We propose the frequency approach of Priestley and Tong (1973), which is the evolutionary co-spectral analysis. This method  offers a time-varying dynamic correlation measure for different horizons, short-run and medium-run. To complete our study by analyzing long-run dependence, we use the cointegration procedure developed by Engle and Granger (1987). We show that oil price shocks in periods during period of fluctuations in the global business cycle and/or financial turmoil affect the relationship between oil and economic growth in OPEC countries.</p>


2019 ◽  
Vol 14 (6) ◽  
pp. 99 ◽  
Author(s):  
Ahmad M. Al-Kandari ◽  
Sadeq J. Abul

The Kuwaiti Stock Exchange was established in April 1977 and is among the oldest stock exchanges in the GCC countries. This study aims to add new evidence about the impact of macroeconomic factors on the Kuwaiti Stock Exchange. It examines empirically the dynamic relationship between the Kuwaiti Stock Exchange Index and the main macroeconomic variables. These variables included M2, the three-month deposit interest rate, oil prices, the US Dollar vs Kuwaiti Dinar exchange rate and the inflation rate. By applying the Johansen cointegration test, together with the Var Error Correction Model (VECM), the study found that there a long-run unidirectional relationship exists between the Kuwaiti Stock Exchange Index and the aforementioned macroeconomic variables. This study also confirmed the existence of a short-run relationship between oil prices and stock prices in Kuwait.


Author(s):  
Huynh Viet Khai ◽  
Le Minh Sang ◽  
Phan Thi Anh Nguyet

This chapter covers a study that was conducted to find out the impact of crude oil prices on the Vietnam stock market in the period from March 2006 to June 2015 by using the autoregressive-distributed lag (ARDL) model with dummy variables of the economic crisis. The results revealed that the crude oil prices had positive impacts on VN-Index and HNX-Index in short-run, but negatively in long-run. In addition, the study also found that the economic crisis has affected the relationship between the crude oil prices and the stock market index in the short-run. During the crisis period, the crude oil prices related to the VN-Index and HNX-index more closely than the other stages. However, in the long-run the relationship between oil prices and stock market index was not affected by the economic crisis.


2019 ◽  
Vol 6 (2) ◽  
pp. 71 ◽  
Author(s):  
Hanan Naser

Given that oil and gold prices are the major representative for commodity market, they both play a crucial role in determining the level of consumption, industrial production and investment due to the direct effect by the changes in their prices. In addition, both oil and gold prices have inflationary pressure which has a direct impact on countries economic growth. Therefore, it is of crucial practical significance to analyze their cointrgration relationships to understand the co-movement of both prices. To do so, this paper aims to examine the impact of oil price fluctuation on gold prices taking into account the inflationary pressure in the United States (US). Using monthly data from April, 1986 to September, 2018, Johansen multivariate cointegration test procedure and vector error correction model (VECM) have been employed to examine the long-run relationship between the variables in the US. The key findings suggest that there is a significant positive long run relationship between crude oil prices, gold prices and inflation. In the short run, the impact of any changes in crude oil prices will have a delayed effect on the prices of gold, while the impact of inflation in not different from zero. In addition, both gold prices and inflation are found to have no impact on gold prices in the short run. The findings of this research are important for investors, portfolio managers, corporate houses, crude oil traders, the government and policy makers.


Economies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 59 ◽  
Author(s):  
Donggyu Lee ◽  
Jungho Baek

This article revisits the question of whether crude oil prices have a positive effect on stock the prices of renewable energy firms. To examine this question carefully, we allow for the asymmetric effects of oil price changes in our modeling process, using the nonlinear autoregressive distributed lag (ARDL) approach. We find that changes in oil prices indeed have a significant, positive short-run effect on renewable energy stock prices in an asymmetric manner. However, this short-run effect does not appear to last in the long-run.


2017 ◽  
Vol 5 (4) ◽  
pp. 27
Author(s):  
Huda Arshad ◽  
Ruhaini Muda ◽  
Ismah Osman

This study analyses the impact of exchange rate and oil prices on the yield of sovereign bond and sukuk for Malaysian capital market. This study aims to ascertain the effect of weakening Malaysian Ringgit and declining of crude oil price on the fixed income investors in the emerging capital market. This study utilises daily time series data of Malaysian exchange rate, oil price and the yield of Malaysian sovereign bond and sukuk from year 2006 until 2015. The findings show that the weakening of exchange rate and oil prices contribute different impacts in the short and long run. In the short run, the exchange rate and oil prices does not have a direct relation with the yield of sovereign bond and sukuk. However, in the long run, the result reveals that there is a significant relationship between exchange rate and oil prices on the yield of sovereign bond and sukuk. It is evident that only a unidirectional causality relation is present between exchange rate and oil price towards selected yield of Malaysian sovereign bond and sukuk. This study provides numerical and empirical insights on issues relating to capital market that supports public authorities and private institutions on their decision and policymaking process.


Sign in / Sign up

Export Citation Format

Share Document