scholarly journals A Quantitative Study of the Interactions between Oil Price and Renewable Energy Sources Stock Prices

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1693 ◽  
Author(s):  
Goran Dominioni ◽  
Alessandro Romano ◽  
Chiara Sotis
Keyword(s):  
Renewable Energy ◽  
Stock Prices ◽  
Structural Breaks ◽  
Renewable Energy Sources ◽  
Structural Break ◽  
Oil Price ◽  
Policy Implications ◽  
Volterra Model ◽  
Predator Prey ◽  
The Relationship

In this article, we apply an integrable nonautonomous Lotka–Volterra model to study the relationship between oil and renewable energy stock prices between 2006 and 2016. The advantage of this innovative approach is that it allows us to study the simultaneous interaction among n stock indices at any point in time. In line with previous studies, we find that the relationship between oil and renewables is characterized by major structural breaks taking place in 2008 and around 2013. The first structural break might be caused by the financial crisis, whereas more studies are required to advance a hypothesis on the causes behind the second structural break. Our main finding is that oil is always in a predator–prey relationship with wind, whereas it proceeds in mutualism with solar after 2012. Moreover, we find that solar and wind proceed in mutualism between 2008 and 2013 but have a rivalrous interaction before (competition) and after (predator–prey) that period. We explore the possible reasons behind these patterns and their policy implications.

scholarly journals Empirical Research on the Relationship amongst Renewable Energy Consumption, Economic Growth and Foreign Direct Investment in Kazakhstan and Uzbekistan

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 332
Author(s):  
Janusz Grabara ◽  
Arsen Tleppayev ◽  
Malika Dabylova ◽  
Leonardus W. W. Mihardjo ◽  
Zdzisława Dacko-Pikiewicz
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Direct Investment ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Renewable Energy Consumption ◽  
Integration Test ◽  
The Relationship

In this contemporary era, environmental problems spread at different levels in all countries of the world. Economic growth does not just depend on prioritizing the environment or improving the environmental situation. If the foreign direct investment is directed to the polluting industries, they will increase pollution and damage the environment. The purpose of the study is to consider the relationship between foreign direct investment in Kazakhstan and Uzbekistan and economic growth and renewable energy consumption. The study is based on data obtained from 1992 to 2018. The results show that there is a two-way link between foreign direct investment and renewable energy consumption in the considered two countries. The Granger causality test approach is applied to explore the causal relationship between the variables. The Johansen co-integration test approach is also employed to test for a relationship. The empirical results verify the existence of co-integration between the series. The main factors influencing renewable energy are economic growth and electricity consumption. To reduce dependence on fuel-based energy sources, Kazakhstan and Uzbekistan need to attract energy to renewable energy sources and implement energy efficiency based on rapid progress. This is because renewable energy sources play the role of an engine that stimulates the production process in the economy for all countries.

Testing Structural Break in the Relationship Between Exchange Rate and Macroeconomic Variables

2019 ◽  
Vol 23 (4) ◽  
pp. 442-453 ◽  
Author(s):  
Saidia Jeelani ◽  
Joity Tomar ◽  
Tapas Das ◽  
Seshanwita Das
Keyword(s):  
Exchange Rate ◽  
Structural Breaks ◽  
Time Series Data ◽  
Structural Break ◽  
Series Data ◽  
Ripple Effect ◽  
Macroeconomic Factors ◽  
Parameter Instability ◽  
Macroeconomic Variables ◽  
The Relationship

The article aims to study the relationship between those macroeconomic factors that the affect (INR/USD) exchange rate (ER). Time series data of 40 years on ER, GDP, inflation, interest rate (IR), FDI, money supply, trade balance (TB) and terms of trade (ToT) have been collected from the RBI website. The considered model has suggested that only inflation, TB and ToT have influenced the ER significantly during the study period. Other macroeconomic variables such as GDP, FDI and IR have not significantly influenced the ER during the study period. The model is robust and does not suffer from residual heteroscedasticity, autocorrelation and non-normality. Sometimes the relationship between ER and macroeconomic variables gets affected by major economic events. For example, the Southeast Asian crisis caused by currency depreciation in 1997 and sub-prime loan crisis of 2008 severely strained the national economies. Any global economic turmoil will affect different economic variables through ripple effect and this, in turn, will affect the ER of different economies differently. The article has also diagnosed whether there is any structural break or not in the model by applying Chow’s Breakpoint Test and have obtained multiple breaks between 2003 and 2009. The existence of structural breaks during 2003–2009 is explained by the fact that volume of crude oil imported by India is high and oil price rise led to a deficit in the TB alarmingly, which caused a structural break or parameter instability.

Exploring the inflationary effect of oil price in the US

2019 ◽  
Vol 13 (1) ◽  
pp. 60-76 ◽  
Author(s):  
Amine Lahiani
Keyword(s):  
Growth Rate ◽  
Structural Breaks ◽  
Oil Prices ◽  
Oil Price ◽  
Inflation Expectations ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
Content Type ◽  
The Us ◽  
The Relationship

PurposeThe purpose of this paper is to explore the effect of oil price shocks on the US Consumer Price Index over the monthly period from 1876:01 to 2014:04.Design/methodology/approachThe author uses the Bai and Perron (2003) structural break test to split the data sample into sub-periods delimited by the computed break dates. Afterwards, the author uses the quantile treatment effects over the full sample and then, by including sub-periods dummies to accommodate the selected structural breaks that drive the relationship between inflation and oil price growth.FindingsThe findings include a decreased transmission effect of oil price changes on inflation in recent years; a varied elasticity of inflation to the growth rate of oil prices across the distribution; and, finally, evidence of asymmetry in the relationship between the growth rate of oil prices and inflation, with a higher transmission mechanism for decreasing rather than increasing oil prices.Practical implicationsPolicymakers should remain alert to monitoring potential inflation increases and should take precautionary measures to anchor inflation expectations, because inflation reacts differently to positive and negative oil price shocks. Moreover, authorities should consider the asymmetric reaction of inflation to oil price shocks to adopt an appropriate monetary policy strategy to achieve the price stability target.Originality/valueThe paper used a quantile regression model with structural breaks, which has not yet been used in the literature.

scholarly journals The Impact of International Oil Prices on the Stock Price Fluctuations of China’s Renewable Energy Enterprises

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4630 ◽  
Author(s):  
Cody Yu-Ling Hsiao ◽  
Weishun Lin ◽  
Xinyang Wei ◽  
Gaoyun Yan ◽  
Siqi Li ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Stock Prices ◽  
Stock Price ◽  
Capital Investment ◽  
Spillover Effect ◽  
Oil Prices ◽  
Listed Companies ◽  
Oil Price ◽  
Price Fluctuations ◽  
The Impact

In order to address a series of issues, including energy security, global warming, and environmental protection, China has ranked first in global renewable investment for the seventh consecutive year. However, developing a renewable energy industry requires a significant capital investment. Also, the international oil price fluctuations have an important impact on the stock prices of renewable energy firms. Thus, in order to provide implications for market investment as well as policy recommendations, this paper studied the spillover effect of international oil prices on the stock prices of China’s renewable energy listed companies. We used a Vector Autoregressive (VAR) model with innovations using a Factor-GARCH (Generalized Autoregressive Conditional Heteroskedasticity) process to evaluate the impact of market co-movements and time-varying volatility and correlation between the international oil price and China’s renewable energy market. The results show that the international oil price has a significant price spillover effect on the stock prices of China’s renewable energy listed companies. Moreover, the fluctuations of international oil prices have an influence on the stock price variations of Chinese renewable energy listed companies.

Brownfield, greenfield, and renewable energy consumption: Moderating role of effective governance

2019 ◽  
Vol 31 (3) ◽  
pp. 405-423
Author(s):  
Farzan Yahya ◽  
Muhammad Rafiq
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Positive Association ◽  
Low Risk ◽  
Policy Implications ◽  
Renewable Energy Consumption ◽  
Holistic View ◽  
Government Effectiveness ◽  
The Relationship

This study investigates the influence of greenfield investment and brownfield investment on renewable energy consumption along with the moderating effect of government effectiveness in 68 countries over the period 2013 to 2014. In order to evaluate more holistic view of the empirical model, we further divide our data into two sub-panels based on country risk. By applying the system-GMM technique to mitigate statistical biases including endogeneity, the empirical results show that brownfield and greenfield investment positively influences renewable energy consumption in global and low-risk panel. However, there is no statistically significant effect of brownfield investment and adverse effect of greenfield investment on renewable energy consumption in low-risk countries. Results also show that effective governments promote the use of renewable energy but it does not moderate the relationship between brownfield investment and renewable energy consumption. On the other hand, government effectiveness strengthens the positive association between greenfield investment and renewable energy consumption in global and low-risk panel, while weakens the negative link between these variables in high-risk countries. Policy implications of our results are also discussed.

Considerations on Economic Optimization of the Relationship Insulation - Thermal Energy Sources Insurance for Civil Building

2014 ◽  
Vol 659 ◽  
pp. 463-468
Author(s):  
Adrian Alexandru Şerbănoiu ◽  
Gabriel Teodoriu ◽  
Bogdan Serbanoiu ◽  
Ion Serbanoiu ◽  
Marina Verdeș ◽  
...  
Keyword(s):  
Energy Source ◽  
Renewable Energy ◽  
Thermal Energy ◽  
Renewable Energy Sources ◽  
Building Envelope ◽  
Energy Sources ◽  
Economic Optimization ◽  
Major Objective ◽  
Financial Perspective ◽  
The Relationship

The major objective of this paper is to optimize the relationship insurance energy source - high thermal insulation of the building envelope analyzed in order to minimize the financial effort incurred by the beneficiary. In this respect, the paper proposes a methodology for analyzing the financial perspective of the relation envelope - equipment that capitalizes renewable energy sources, built on a newer concept - optimal cost.

scholarly journals The relationship between renewable energy and sustainable development in Indonesia

2021 ◽  
Vol 922 (1) ◽  
pp. 012034
Author(s):  
G Syamni ◽  
Wardhiah ◽  
Zulkifli ◽  
M J A Siregar ◽  
Y A Sitepu
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Secondary Data ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Short And Long Term ◽  
The Relationship ◽  
Positive Effect

Abstract This paper is conducted to examine the relationship between the use of renewable energy and FDI in Indonesia. The data used in this study is secondary data that has been published by the World Bank and accessed in www.Data.worldbank.org. periode 2004-2019. The data analysis method used is the autoregressive distributed lag (ARDL) method. The results of the study found that the use of renewable energy in the short and long term has a positive effect on Indonesia’s economic growth. Meanwhile, the same thing is also shown from the FDI variable in the short term and long term which has a significant positive effect on economic growth and has a positive effect on economic growth. Finally, with this finding, it is concluded that both the short and long term the Indonesian government needs to make a breakthrough to explore renewable energy sources for economic growth.

scholarly journals The Impacts of Energy Consumption, Energy Prices and Energy Import-Dependency on Gross and Sectoral Value-Added in Sri Lanka

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6565
Author(s):  
Muntasir Murshed ◽  
Haider Mahmood ◽  
Tarek Tawfik Yousef Alkhateeb ◽  
Mohga Bassim
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Sri Lanka ◽  
Structural Break ◽  
Value Added ◽  
Oil Price ◽  
Policy Implications ◽  
Energy Prices ◽  
Total Energy Consumption ◽  
Consumption Energy

Drifting away from the neoclassical growth conjecture of economic growth being solely dependent on capital and labor inputs, this paper aimed to evaluate the dynamic impacts of energy consumption, energy prices and imported energy-dependency on both gross and sectoral value-added figures of Sri Lanka. The analysis has particularly used the robust econometric methods that can account for structural break issues in the data. The results, in a nutshell, indicated that energy consumption homogeneously contributes to gross, agricultural, industrial and services value-additions in Sri Lanka. However, positive oil price shocks and greater shares of imported energy in the total energy consumption figures are found to dampen the growth figures, especially in the context of the gross, industrial and services value additions. Besides, the joint growth-inhibiting impacts of oil price movements and energy import-dependency are also ascertained. On the other hand, the causality estimates reveal bidirectional causal associations between energy consumption-gross value-added and energy consumption-industrial value-added. In contrast, no causal impact of energy consumption on the agricultural and services value-added is evidenced. Hence, these findings impose key policy implications for constructing crucial energy policy reforms to make sure that the economic growth performances of Sri Lanka are sustained in the future.

scholarly journals Modelling Inflation Uncertainty with Structural Breaks Case of Turkey (1994–2013)

2014 ◽  
Vol 2014 ◽  
pp. 1-19 ◽  
Author(s):  
Pınar Göktaş ◽  
Cem Dişbudak
Keyword(s):  
Structural Breaks ◽  
Structural Break ◽  
Inflation Uncertainty ◽  
Macroeconomic Indicators ◽  
Asymmetric Garch ◽  
Break Points ◽  
Mean And Variance ◽  
Causality Relationship ◽  
Structural Break Test ◽  
The Relationship

In recent years, the importance attached to the concept of volatility has increased and become a phenomenon frequently encountered in every field ranging from financial markets to macroeconomic indicators. In this study, inflation data obtained from CPI index for the period of 1994:01–2013:12 in Turkey was used to determine the best representative of the inflation uncertainty. To realize this, both symmetric and asymmetric GARCH-type models were employed. Since there are many factors that may lead to structural change within the economic course of Turkey, a structural break in the series has first been investigated. By administering Bai-Perron structural break test, two different break points both in mean and variance have been detected to be in February 2002 and in June 2001, respectively. The inclusion of those break points to the related equations, appropriate forecasting models were projected. Moreover it was found that, while in the periods prior to the break in both variance and mean the inflation itself was the reason for inflation uncertainty, following the dates of the break, the relationship changed bidirectionally. In the meantime, when the series was taken as a whole without considering the break, bidirectional causality relationship was also detected in the series.

Sign in / Sign up

Export Citation Format

Share Document