Global energy and geopolitical risk: behavior of oil markets

2019 ◽  
Vol 14 (2) ◽  
pp. 358-371 ◽  
Author(s):  
Abdullah Alqahtani ◽  
Michael Taillard
Keyword(s):  
Allocative Efficiency ◽  
Impulse Response Function ◽  
Oil Prices ◽  
Causality Test ◽  
Market Pricing ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Oil Markets ◽  
The Impact

Purpose The question being assessed is whether changes in the degree of global geopolitical risk (GPR), as defined by the framework developed by Iacoviello (2018), can be used to improve allocative efficiency, thereby increasing investment returns on oil commodities. Design/methodology/approach Using the linear and nonlinear model, this paper analyzes the impact of GPR on returns of oil prices (BRENT, WTI and Organization of Petroleum Exporting Countries), as well as the short- and long-run relationship between GPR and oil prices. Findings The results of the impulse response function indicates that oil prices do not respond to shocks in GPR. The results of the Granger causality test show that oil returns are not caused by GPR. The regression analysis and autoregressive distributed lag results show that there is no significant impact of GPR on the returns of oil. Originality/value This is unique among the literature in that it identifies and isolates the relationship between GPR and oil market pricing. Insight into the lag in market response and the degree to which GPR can be used to estimate oil prices using curvilinear models are derived from the analysis.

The impact of Iran Central Bank’s sanction on Tehran Stock Exchange

2017 ◽  
Vol 59 (3) ◽  
pp. 365-375 ◽  
Author(s):  
Mahdi Salehi ◽  
Mostafa Karimzadeh ◽  
Navid Paydarmanesh
Keyword(s):  
Central Bank ◽  
Stock Price ◽  
Negative Impact ◽  
Stock Exchange ◽  
Oil Prices ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact ◽  
Positive Effect

Purpose US sanctions have been a major feature of US Iran policy since Iran’s 1979 Islamic revolution, but the imposition of UN and worldwide bilateral sanctions on Iran that began in 2006 and increased dramatically as of 2010 is recent by comparison. The objectives of US sanctions have evolved over time. Broad international sanctions imposed on Iran harmed Iran’s economy and contributed to Iran’s acceptance of agreements that exchange constraints on its nuclear program for sanctions relief. The subject of this study is important because both Iran and the international communities are demanding for information about the effect of sanctions on Iran. In an international and regional perspective, it seems that sanctions have a negative impact on economic, social and even political status of Iran. Therefore, this paper aims to examine the impact of Iran Central Bank sanction on Tehran Stock Exchange as on December 31, 2011. Design/methodology/approach Variables of model are consisted by exchange rate, oil prices and Tehran Stock Exchange Price Index (TEPIX) from October 2, 2011 to March 29, 2012, which is offered daily. To analyze the model, the authors used Johansen–Juselius and Autoregressive Distributed Lag (ARDL) methods. Findings The results indicate that there is a long-run equilibrium relationship between selected variables as oil prices, and exchange rates have a positive effect on the TEPIX. In other words, the results of the econometric estimation show the positive effect of the Iran Central Bank sanction on the TEPIX. Thus, because of economic sanctions imposed by the Western countries, Tehran Stock Exchange has been growing. Originality/value No empirical research exists that examines the impact of sanctions on stock price in developing countries. This study fills this gap by examining the links between sanctions and stock price in Iran.

Oil prices, armed conflict and government revenue in Nigeria

2018 ◽  
Vol 13 (5) ◽  
pp. 1196-1210 ◽  
Author(s):  
Udoma Johnson Afangideh ◽  
Augustine Ujunwa ◽  
Angela Ifeanyi Ukemenam
Keyword(s):  
Crude Oil ◽  
Government Expenditure ◽  
Oil Prices ◽  
Armed Conflicts ◽  
Government Revenue ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact ◽  
Macroeconomic Fluctuation

Purpose Persistent wave of armed conflicts – militancy and terrorism – and the mono-cultural structure of the Nigerian economy, as well as extensive reliance on revenue from crude oil, highlights how external vulnerabilities, weakening internal structure and insecurity could significantly exacerbate public revenue loss. Understanding the nature, trend and impact of these factors on government revenue is one of the questions that still remain unsolved. The purpose of this paper is to examine the impact of global oil prices, militancy and terrorism on government revenue in Nigeria. Design/methodology/approach The study focusses on the state-failure and frustration-aggression hypotheses to explain the nature and trend of armed conflicts in Nigeria. The autoregressive distributed lag (ARDL) model is used to examine the effect of global oil prices, militancy and terrorism on government revenue. Findings The study reveals that crude oil price, terrorism and militancy have significant negative effect on government revenue in short- and long-run Nigeria. Evidence from the study therefore supports the theory that macroeconomic fluctuation is largely determined by endogenous and exogenous factors in Nigeria. Research limitations/implications In view of this review, future studies should empirically analyse the interactive impact of militancy, terrorism and global oil prices on government expenditure or a combination of government revenue and expenditure. Originality/value The study provides evidence on the role of internal and external factors on macroeconomic fluctuation, and recommended appropriate suite of policies that could mitigate external and internal vulnerabilities, especially during upsurge in armed conflicts.

The relationship between financial development and economic growth in Eswatini (formerly Swaziland)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.

Does Ban on Futures trading (de)stabilise spot volatility?

2019 ◽  
Vol 9 (2) ◽  
pp. 145-166 ◽  
Author(s):  
Neharika Sobti
Keyword(s):  
Granger Causality ◽  
Price Discovery ◽  
Futures Trading ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Spot Volatility ◽  
Non Parametric

Purpose The purpose of this paper is to ascertain the possible consequences of ban on futures trading of agriculture commodities in India by examining three critical issues: first, the author explores whether price discovery dominance changes between futures and spot in the pre-ban and post-relaunch phase both in the long run and short run. Second, the author examines the impact of ban and relaunch of futures trading on its underlying spot volatility for five sample cases of agriculture commodities (Wheat, Sugar, Soya Refined Oil, Rubber and Chana) using both parametric and non-parametric tests. Third, the author revisits the destabilization hypothesis in the light of ban on futures trading by examining the impact of unexpected component of liquidity of futures on spot volatility. Design/methodology/approach The author uses widely adopted methodology of co-integration to examine long-run relationship between spot and futures, while the short-run relationship is investigated using vector error correction model (VECM) and Granger causality to test price discovery in the pre-ban and post-relaunch phases. The second objective is explored using a combination of parametric and non-parametric tests such as Welch one-way ANOVA and Kruskal–Wallis test, respectively, to gauge the impact of ban on futures trading on spot volatility along with post hoc tests to investigate pairwise comparison of spot volatility among three phases (pre-ban, ban and post-relaunch) using Dunn Test. In addition, extensive robustness test is undertaken by adopting augmented E-GARCH model to ascertain the impact of ban and relaunch of futures trading on spot volatility. The third objective is investigated using Granger causality test between spot volatility and unexpected component of liquidity of futures estimated using Hodrick and Prescott (HP) filter to re-visit the destabilization hypothesis. Findings The author found extensive evidence for the dominance of futures market in the price discovery of agriculture commodities both in the pre-ban and post-relaunch phases in India. The ban on futures trading is found to have a destabilizing impact on spot volatility as evident from the findings of Wheat, Sugar and Rubber. In addition, it is observed that spot volatility was highest during the ban phase as compared to the pre-ban and post-relaunch phases for all four commodities barring Chana. The author found that destabilisation hypothesis holds true during the pre ban phase, while weakening of destabilization hypothesis is observed in the post-relaunch phase as unexpected futures liquidity has no role in driving the spot volatility. Originality/value This study is a novel attempt to empirically examine the potential impact of ban and relaunch of futures trading of agriculture commodities on two key market quality dimensions – price discovery and spot volatility. In addition, destabilization hypothesis is revisited to investigate the impact of futures trading on spot volatility during the pre-ban and post-relaunch period.

scholarly journals Zakat and SDGs: Impact Zakat on Human Development in the Five States of Malaysia

2017 ◽  
Vol 2 (1) ◽  
pp. 61-69 ◽  
Author(s):  
Eko Suprayitno ◽  
Mohamed Aslam ◽  
Azhar Harun
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Development Program ◽  
Granger Causality Test ◽  
Development Education ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
The Impact

Zakat is intended to stimulate economic development, education, social, human resources empowerment, religion health, and insurance programs. The seven programs above are implemented by the Malaysian government to improve economic growth. The aim of the study is to examine the impact zakat on human development program in Malaysia using the Autoregressive Distributed Lag (ARDL) bound testing approach. The analysis was carried out for the period from 1980–2009. The finding of the research reveals that zakat has a positive and significant influence on human development in five state in the short and long run. Zakat in Malaysia can be used as tool of fiscal policy that is decided in the states of Malaysia to stimulate human development and economic growth in the long run. Keyword: Zakat, Human Development, Granger causality test

The impact of macroeconomic variables on the budget deficit in Bangladesh: an econometric analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md. Mahbub Alam ◽  
Md. Nazmus Sadekin ◽  
Sanjoy Kumar Saha
Keyword(s):  
Granger Causality ◽  
Money Supply ◽  
Budget Deficit ◽  
Real Effective Exchange Rate ◽  
Causality Test ◽  
Content Type ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Effective Exchange ◽  
The Impact

PurposeThis paper aims to investigate the impact of selected macro-economic variables like real effective exchange rate (REER), GDP, inflation (INF), the volume of trade (TR) and money supply (M2) on-budget deficit (BD) in Bangladesh over the period of 1980–2018.Design/methodology/approachBy using secondary data, the paper uses the Vector Error Correction Model (VECM) and Granger Causality test. Johansen’s cointegration test is used to examine the long-run relationship among the variables under study.FindingsJohansen’s cointegration test result shows that there exists a positive long-run relationship of selected macroeconomic variables (real effective exchange rate, inflation, the volume of trade and money supply) with the budget deficit, whereas GDP has a negative one. The short-run results from the VECM show that GDP, inflation and money supply have a negative relationship with the budget deficit. The Granger Causality test results reveal unidirectional causal relationships running from BD to REER; TR to BD; M2 to BD; GDP to REER; M2 to REER; INF to GDP; GDP to TR; M2 to GDP and bidirectional causal relationship between GDP and BD; TR and REER; M2 and TR.Originality/valueBangladesh has been experiencing a budget deficit since 1972 due to a decline in sources of revenue. This study contributes to the empirical debate on the causal nexus between macroeconomic variables and budget deficits by employing VECM and Granger Causality approaches.

Institutional quality and foreign direct investment in Ghana

2020 ◽  
Vol 30 (1) ◽  
pp. 109-122 ◽  
Author(s):  
Ibrahim Nandom Yakubu
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Institutional Quality ◽  
Principal Component ◽  
Political Stability ◽  
Single Measure ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact

Purpose This paper aims to investigate the impact of institutional quality on foreign direct investment (FDI) in Ghana for the period 1985-2016. Design/methodology/approach The study uses the autoregressive distributed lag (ARDL) approach to examine the relationship between institutional quality along with other controlled variables and FDI. Findings Evidence from the ARDL framework establishes a positive significant effect of institutional quality on FDI irrespective of the time horizon. The results also reveal a significant impact of inflation on FDI in both short and long run, while GDP per capita growth and trade are significant determinants only in the short run. Practical implications The study recommends the instigation of effective policies and strategies that seek to strengthen the quality of institutions, as this provides a conducive investment climate to attract FDI. Specifically, policies that are focused on promoting transparent legal regimes, regulatory reforms, non-corrupt institutions and political stability should be the precedence of policymakers. Originality/value In addition to being a pioneering work on the impact of institutional quality on FDI in Ghana, the main contribution of the study lies in its application of the principal component analysis to generate a single measure of institutional quality based on a number of institutional factors.

scholarly journals Assessing the influence of exchange rate on agricultural commodity export price: evidence from Vietnamese coffee

2020 ◽  
Vol 22 (2) ◽  
pp. 297-309
Author(s):  
Trung Tuyen Dang ◽  
Caihong Zhang ◽  
Thi Hong Nguyen ◽  
Ngoc Trung Nguyen
Keyword(s):  
Exchange Rate ◽  
Granger Causality ◽  
Export Price ◽  
Agricultural Commodity ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Commodity Export ◽  
Short Run ◽  
The Impact

PurposeThe purpose of this paper is to evaluate the influence of VND/USD exchange rate on Vietnamese coffee export price (PVN).Design/methodology/approachThe study uses cointegration test, Granger causality test and vector autoregression (VAR) model.FindingsThe results reveal that there is no co-integrating equation between two variables. It means the exchange rate does not have an effect on PVN in the long run. Furthermore, there is one Granger causality relationship between VND/USD exchange rate and PVN in the short run, but not vice versa. The study suggests that the first previous period of PVN is the most closely related variable which has the greatest impact on the variation of PVN among the selected variables, meanwhile the effect of VND/USD exchange rate on it, contrarily, is positive and very trivial.Originality/valueIn overall, the impact of VND/USD exchange rate on Vietnamese coffee export price (PVN) has been analyzed deeply in this research by applying new approaches.

Does financial development matter for domestic investment? Empirical evidence from India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Niharika Sinha ◽  
Swati Shastri
Keyword(s):  
Financial Development ◽  
Principal Component ◽  
Domestic Investment ◽  
Bounds Testing ◽  
Causality Test ◽  
Content Type ◽  
Development Indicators ◽  
Indian Economy ◽  
Long Run ◽  
The Impact

PurposeThis paper empirically examines the impact of financial development on domestic investment in India for the period 1989–2017.Design/methodology/approachThis study employs the autoregressive distributed lag (ARDL) bounds testing approach to co-integration to test the long-run relationship between financial development and domestic investment. To test the direction of causality, Toda–Yamamoto causality test and vector error correction model (VECM) Granger causality/Block Exogeneity Wald test have been employed. Investment has been measured by Gross Capital Formation. To capture various aspects of financial development in India, eight alternative indicators (both bank based and market based) have been used. With the help selected indicators, a composite index (FINDEX) of financial development has been constructed using principal component analysis (PCA).FindingsThe estimated result finds evidence in favour of positive, short-run and long-run impact of financial development on investment in the Indian economy. Both bank-based and market-based indicators are found to significantly affect the level of investment. The significant effect of efficiency-based financial development indicators (both bank based and market based) upon domestic investment implies that there is a need to implement policies that ensure the efficiency of financial intermediation.Originality/valueTo the best of authors' knowledge, not much research has been done to explore the relationship between financial development and domestic investment, especially in the case of Indian economy. This study also tries to find the impact of bank-based and market-based financial development indicators upon domestic investment to explore banks vs market issue.

scholarly journals A Dynamic Analysis of the Impact of Fiscal Adjustment on Economic Growth: Evidence From Pakistan

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110271
Author(s):  
Ibrar Hussain ◽  
Jawad Hussain ◽  
Arshad Ali ◽  
Shabir Ahmad
Keyword(s):  
Economic Growth ◽  
Causality Test ◽  
Distributed Lag ◽  
Fiscal Adjustment ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Empirical Calibration ◽  
Short Run ◽  
S Model ◽  
The Impact

This study claims to be the first in assessing the short-run and long-run impacts of both the size and composition of fiscal adjustment on the growth in Pakistan. Empirical calibration has been made on Mankiw et al.’s model, while the Autoregressive Distributed Lag (ARDL) techniques of Pesaran et al. have been employed to carry out the estimation. To cure the problem of degenerate cases, the ARDL techniques have been augmented with the model of Sam et al. The analysis supports the hypothesis of “expansionary fiscal contraction” in the long run. The analysis reveals that the spending-based adjustment enhances the economic growth, whereas the tax-based adjustment would reduce the growth in the long run in the case of Pakistan. The Granger causality test indicates that the fiscal adjustments have been weakly exogenous, thereby allowing feedback effect from the economic growth toward the fiscal adjustment. Thus, the objective of sustained economic growth can be achieved through the spending-based consolidation measures.

Sign in / Sign up

Export Citation Format

Share Document