scholarly journals Nonlinear Relationships between Oil Prices and Implied Volatilities: Providing More Valuable Information

2019 ◽  
Vol 11 (14) ◽  
pp. 3906 ◽  
Author(s):  
Jeng-Bau Lin ◽  
Chin-Chia Liang ◽  
Wei Tsai
Keyword(s):  
Granger Causality ◽  
Oil Prices ◽  
Stock Index ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Volatility Index ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Bounds Test ◽  
Long Run Equilibrium

This paper investigates the linear/nonlinear long-run and short-run dynamic relationships between oil prices and two implied volatilities, oil price volatility index (OVX) and stock index options volatility index (VIX), representing panic gauges. The results show that there is a long-run equilibrium relationship between oil prices and OVX (VIX) using the linear autoregressive distributed lag (ARDL)-bounds test. Likewise, while using the nonlinear autoregressive distributed lag (NARDL)-bounds test, not only does a long-run equilibrium relationship exist, but also the rising OVX (VIX) has a greater negative influence on oil prices than the declining OVX (VIX), thus indicating that a long-run, asymmetric cointegration exists between the variables. Furthermore, OVX (VIX) oil prices have a linear Granger causality, while for the nonlinear Granger causality test, oil prices have a bidirectional relation with OVX (VIX). In addition, we find that once major international political and economic events occur, structural changes in oil prices change the behavior of oil prices, and thus panic indices, thereby switching from a linear relationship to a nonlinear one. The empirical results of this study provide market participants with more valuable information.

The Impacts of Oil Price Shocks on Tourism Receipts for Selected Middle East and North Africa (MENA) Countries: Do Structural Breaks Matter?

2020 ◽  
Vol 25 (4) ◽  
pp. 383-394
Author(s):  
Khalid M. Kisswani ◽  
Amjad M. Kisswani ◽  
Arezou Harraf
Keyword(s):  
Structural Breaks ◽  
Empirical Work ◽  
Oil Prices ◽  
Oil Price ◽  
Mena Countries ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Negative Effect ◽  
Bounds Test

One of the short comings in the tourism literature is that research on the oil price–tourism receipts nexus is limited. However, the available studies, to the best of our knowledge, provide limited evidence on the negative effect of oil prices on tourism receipts. Nevertheless, the related literature did not consider the structural breaks in the analysis, which has proven to be important in the empirical work. As such, in this article we study the oil price–tourism receipts nexus for selected MENA countries in the presence of structural breaks. This is done by adopting the autoregressive distributed lag (ARDL) bounds test and incorporating the structural breaks. The findings show that the bounds test provides evidence of a long-run relationship between tourism receipts and oil prices after integrating structural breaks into the ARDL model for most countries.

scholarly journals Nexus between Agriculture and Unemployment in Nigeria

2019 ◽  
pp. 1-13
Author(s):  
Oluwafemi S. Enilolobo ◽  
Saidi A. Mustapha ◽  
Onyeka P. Ikechukwu
Keyword(s):  
Error Correction ◽  
Granger Causality ◽  
Unit Root ◽  
Unit Root Test ◽  
Model Estimation ◽  
Correction Model ◽  
Agriculture Sector ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Bounds Test

This study examined the impact of agriculture sector growth on unemployment level as well as the direction of causality between agricultural sector output and unemployment level in Nigeria. Secondary annual time series data between 1981 and 2016 were used for the study. Data on unemployment rate, agriculture sector output, public expenditure and industrial output were obtained from the Central Bank of Nigeria’s statistical Bulletin while data on FDI and population growth were obtained from the World Bank World Development Indicators. The data were analyzed using ADF (Augmented Dickey Fuller Test) unit root test, Autoregressive distributed lag Bounds test of cointegration, Autoregressive distributed lag error correction model estimation and Granger causality. The results of ADF unit root test revealed variables were at different orders of integration, the ARDL bounds test revealed cointegration between variables, and the Autoregressive distributed lag error correction model estimation revealed that change in agriculture output in the current period is negative and significant for current unemployment level in Nigeria, while the change in one period lagged agriculture output was positive and significant for current unemployment level in Nigeria. Also the error correction term indicated that about 74.10 percent of the disequilibrium in the system in the previous year would be corrected in the current year. Granger causality test results revealed bi-directional causality between agriculture output and unemployment level in Nigeria. The study recommends that the Nigeria government should using strategic policies targeted at boosting agriculture output such as increasing access to land for peasant rural farmers, investments in agricultural research, and so on, seek to boost agriculture output in order to reduce unemployment in Nigeria. Further, the Nigeria government should ensure that agriculture sector development policies are consistent with the objective of reducing unemployment in Nigeria.

scholarly journals The Effect of Higher Education on Growth: A Cointegration Analysis

2013 ◽  
Author(s):  
Murat Mustafa Kutlutürk ◽  
Hakan Kasım Akmaz ◽  
Ahmet Çetin
Keyword(s):  
Higher Education ◽  
Granger Causality ◽  
Cointegration Analysis ◽  
Annual Data ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

In this study the relationship between higher education and economic growth was investigated using annual data between 1988 and 2012 for Turkey. To see short and long run effects of higher education on growth the Autoregressive Distributed Lag (ARDL) testing approach was used. In this investigation ratio of higher education graduates in employment was used as an explanatory variable. Zivot and Andrews test was implemented for the variables. The long and short run effects of higher education on growth was found significant. Granger causality test was implemented and one way Granger causality from higher education to growth was determined.

scholarly journals Oil Price, Energy Consumption, and CO2 Emissions in Turkey. New Evidence from a Bootstrap ARDL Test

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5588
Author(s):  
Mohammed Abumunshar ◽  
Mehmet Aga ◽  
Ahmed Samour
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Oil Prices ◽  
Oil Price ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Imported Oil

The main objective of this research was to test the effect of oil prices, renewable and non-renewable energy consumption, and economic growth on Turkey’s carbon emissions by using three co-integration tests, namely, the newly-developed bootstrap autoregressive distributed lag (ARDL) testing technique as proposed by (McNown et al., 2018); the new approach involving the Bayer–Hanck (2013) combined co-integration test; and the H-J (2008) co-integration technique, which induces two dates of structural breaks. The autoregressive distributed lag model (ARDL), dynamic ordinary least squares (DOLS), canonical cointegrating regression (CCR), and fully modified ordinary least square (FMOLS) approaches were utilized to test the long-run interaction between the examined variables. The Granger causality (GC) analysis was utilized to investigate the direction of causality among the variables. The long-run coefficients of ARDL, DOLS, CCR, and FMOLS showed that the oil prices had a negative influence on CO2 emissions in Turkey in the long run. Furthermore, the findings demonstrate that non-renewable energy, which includes oil, natural gas, and coal, increased CO2 emissions. In contrast, renewable energy can decrease the environmental pollution. These empirical findings can be attributed to the fact that Turkey is heavily dependent on imported oil; more than 50% of the energy requirement has been supplied by imports. Hence, oil price fluctuations have severe effects on the economic performance in Turkey, which in turn affects energy consumption and the level of carbon emissions. The study suggests that the rate of imported oil in Turkey must be decreased by finding more renewable energy sources for the energy supply formula to avoid any undesirable effects of oil price fluctuations on the CO2 emissions, and also to achieve sustainable development.

scholarly journals Cointegration and Causality Relationship Between Stock Market, Money Market and Foreign Exchange Market in Pakistan

2017 ◽  
Vol 5 (1) ◽  
pp. 1-20
Author(s):  
Ghulam Abbas ◽  
Roni Bhowmik ◽  
Laxmi Koju ◽  
Shouyang Wang
Keyword(s):  
Stock Market ◽  
Granger Causality ◽  
Foreign Exchange ◽  
Foreign Exchange Market ◽  
Money Market ◽  
Exchange Market ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Causality Relationship ◽  
Long Run Equilibrium

AbstractThis paper examines the relationship between stock market (KSE-100), money market (M2 and 180 days T-bill rate), and foreign exchange market (ER: PKR/USD) in Pakistan by using monthly data covering the period from 2000:M1 to 2015:M12. The study investigates long-run equilibrium relationship between these three financial markets by employing Johansen and Juselius[1] cointegration tests. Long-run and short-run causality relationship between stock market and other macroeconomic variables is also established by employing vector error correction model (VECM) and pairwise granger causality tests. The results of multivariate cointegration test (trace test) indicate a one cointegrating vector, and the significant normalized cointegrating coefficients are evident of long run equilibrium relationship between all the selected variables. Negative and significant ECT (− 1) for all variables during full sample period witness the presence of long-run causality connection among variables, while during the military regime and democratic regime, significant difference of long-run causal connections are identified across the regimes. Moreover, the results of granger causality test also indicate that there are significant variations in the causality relationship among variables across the regimes. Therefore, it is essential for forecasting, planning and policy making to consider the importance of political governance system while analyzing the historical cointegration among financial market and make the necessary adjustments accordingly.

scholarly journals Modelling the Temporal Effect of Terrorism on Tourism in Kenya

2016 ◽  
Vol 8 (12) ◽  
pp. 10 ◽  
Author(s):  
Brian K. Masinde ◽  
Steven Buigut ◽  
Joseph K. Mung'atu
Keyword(s):  
Testing Procedure ◽  
Tourism Industry ◽  
Bounds Testing ◽  
Causality Test ◽  
Vector Error Correction ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Long Run Equilibrium

<p>Terrorist attacks have escalated over the recent years in Kenya, with adverse effects on the tourism industry. This study aims to establish if a long-run equilibrium exists between terrorism and tourism in Kenya between the years 1994 and 2014. To reinforce the robustness of the results, both Autoregressive Distributed Lag (ARDL) bounds testing and the Vector Error Correction Model (VECM) techniques are used to investigate the problem. A Granger causality test is also carried out to ascertain the direction of the relationship if one exists. The evidence from ARDL and the VECM testing procedure suggest that there is no long-run equilibrium between terrorism and tourism in Kenya. Terrorism does not Granger cause tourism and vice versa. However, short-run effect indicates that terrorism negatively and significantly affects tourism.</p>

scholarly journals Petroleum Consumption and Financial Development in Malaysia

2016 ◽  
Author(s):  
Jen-Eem Chen ◽  
Yan-Ling Tan ◽  
Chin-Yu Lee ◽  
Lim-Thye Goh
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Financial Sector ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run

This paper aims to contribute to the existing literature by examining the dynamic relationship among petroleum consumption, financial development, economic growth and energy price. The sample of this study is based on the Malaysian annual data from 1980 to 2010. The model specification was examined in the Autoregressive Distributed Lag (ARDL) framework and the results revealed the existence of a long-run equilibrium. The findings indicated that financial development and economic growth cause a demand for energy to escalate in the long run. The Toda-Yamamoto (TYDL) non Granger-causality test provides evidence that there is unidirectional Granger-causality running from financial development and economic growth to energy consumption in the long run. This suggests that Malaysia is not an energy-dependent country. Hence, the government could implement energy conservation policies to reduce the waste of energy use. Given that development in the financial sector, and economic growth increase petroleum consumption in Malaysia, the policies pertaining to energy consumption should incorporate the development of the financial sector and economic growth of country.   Keywords: Petroleum consumption, financial development, non-renewable energy, Autoregressive Distributed Lag (ARDL), Toda-Yamamoto (TYDL) non Granger-causality test

scholarly journals The Role of Gold Prices and Interest Rate in Stock Index: Insights from Vietnam by Using the Autoregressive Distributed Lag Approach

2020 ◽  
Vol 12 (1) ◽  
pp. 178
Author(s):  
Le Thi Minh Huong ◽  
Phan Minh Trung
Keyword(s):  
Interest Rate ◽  
Stock Market ◽  
Interest Rates ◽  
Stock Index ◽  
Stock Market Index ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Market Index ◽  
Long Run ◽  
Short Run

This study aimed to determine the impact of domestic gold prices, interest rates in the stock market index (VNI) in Vietnam for the period of January 2009 to December 2018. This study employed the Autoregressive Distributed Lag (ARDL) to check the association of Independent variable gold prices and the interest rate on the dependent variable stock market index. The results show a close correlation together in the long-run. The Vietnam stock index is adversely affected by fluctuations in the credit market in the short-run. We observed that domestic gold prices and interest rates have one-way causal relations to the stock price index. Similarly, interest rates were causal for gold prices and still not yet had any particular direction. The adjustment in the short-run moves the long-run equilibrium, although the change is quite slow.

Long-run dynamics between CFP and CSP in the GCC banking sector: estimation of non-stationary heterogeneous panels allowing for cross-sectional dependence

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismail Ben Douissa ◽  
Tawfik Azrak
Keyword(s):  
Financial Performance ◽  
Granger Causality ◽  
Banking Sector ◽  
Social Performance ◽  
Content Type ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Corporate Social ◽  
The Relationship ◽  
Long Run Equilibrium

Purpose Causality between corporate financial performance (CFP) and corporate social performance (CSP) has been extensively debated in previous research works; however, little research has been done to investigate the long-run dynamics between these two constructs. The purpose of this paper is to enrich the CFP–CSP literature by estimating the long-run equilibrium relationship between financial performance and social performance in the banking sector in the Gulf Cooperation Council countries over the period 2009–2019. Design/methodology/approach The paper adopts an approach that is primarily used in financial economics: first, the authors perform panel long-run Granger causality following Canning and Pedroni’s procedure to indicate the direction of the causal relationship. Second, the authors estimate an error correction model using Chudik and Pesaran’s (2015) dynamic common correlated effects mean group estimator to determine the sign of the relationship. Findings The present research findings prove the existence of a long-run equilibrium relationship between CFP and CSP, while indicating at the same time that panel Granger causality runs positively from CSP to CFP, which means that changes in CSP produce lasting changes in CFP. Practical implications The findings of the paper would guide strategists to build fit for purpose corporate social responsibility (CSR) strategies in their firms and establish a continuous investment in CSR activities in the long run rather than harshly investing in CSR activities in the short run. Originality/value To the best of the authors’ knowledge, this paper is the first one to address heterogeneity in long-run Granger causality tests to estimate the relationship between CSP and CFP.

Defence Spending and Economic Growth in South Africa: Evidence from Cointegration and Co-Feature Analysis

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Charles Shaaba Saba
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Granger Causality ◽  
Growth Series ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Defence Spending ◽  
Short Run ◽  
The Business Cycle

Abstract The paper revisits the causality relationship between defence spending and economic growth for South Africa during the period 1960–2018. The results of our estimation show that defence spending and economic growth are cointegrated and that there is bidirectional Granger causality running between defence spending and economic growth in the long run. We then applied a Hodrick-Prescott filter to decompose the trend and the fluctuation components of the defence spending and economic growth series. The findings from the autoregressive distributed lag bounds test estimations show that in the long- and short-run, the trends and cyclicality of defence spending retard economic growth. The estimation results show that there is cointegration between the trends and the cyclical components of the two series, which suggests that the Granger causality possibly relates to the business cycle. This study suggests that investing more and reducing inefficiency spending in the defence sector during fluctuations can further stimulate economic growth in South Africa.

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