scholarly journals Sensitivity of stock market indices to oil prices: Evidence from manufacturing sub-sectors in Turkey

2012 ◽  
Vol 59 (4) ◽  
pp. 463-474 ◽  
Author(s):  
Halil Eksi ◽  
Mehmet Senturk ◽  
Semih Yildirim
Keyword(s):  
Crude Oil ◽  
Oil Prices ◽  
Manufacturing Industries ◽  
Crude Oil Price ◽  
Correction Model ◽  
Crude Oil Prices ◽  
Highly Sensitive ◽  
Long Time ◽  
The Relationship

Crude oil price is a critical cost factor for manufacturing industries that are of vital importance for economic growth. This study examines the relationship between crude oil prices and the indices of seven Turkish manufacturing sub-sectors over the period 1997:01-2009:12. The error correction model results reveal the long term causality from crude oil prices to chemical petroleum-plastic and basic metal sub-sectors indicating that these sub-sectors are highly sensitive to crude oil prices. We find no causal relationship for other sector indices for short or long time periods.

scholarly journals Relationship between International Crude Oil Price and Indian Stock Market (NSE)

2011 ◽  
pp. 63-73
Author(s):  
Rajendra Mahunta
Keyword(s):  
Crude Oil ◽  
Global Economy ◽  
Stock Exchange ◽  
Oil Prices ◽  
Oil Price ◽  
Raw Material ◽  
Crude Oil Price ◽  
New Era ◽  
Crude Oil Prices

In this new era of economic growth, the exceptional increase in the crude oil prices is one of the significant developments that affect the global economy. Crude oil is an important raw material used for manufacturing sectors, so that increase in the price of oil is bound to warn the economy with inflationary inclination. The study examine the long-term relationships between CNX NIFTY FIFTY index of National Stock Exchange and crude price by using various econometric test. The surge in crude oil prices during recent years has generated a lot of interest in the relationship between oil price and equity markets. The study covers the period between 01.01.2010 and 31.12.2014 and was performed with data consisting of 1245 days. The empirical results show there was a cointegrated long-term relationship between CNX index and crude price. Granger causality results reveal that there is unidirectional causality exists and crude oil price causes NSE (CNX) but NSE (CNX) does not cause oil price.

Determinants of Inflation in Vietnam: A VECM Approach

2015 ◽  
Vol 22 (04) ◽  
pp. 26-50
Author(s):  
Ngoc Tran Thi Bich ◽  
Huong Pham Hoang Cam
Keyword(s):  
Interest Rate ◽  
Crude Oil ◽  
Error Correction ◽  
Budget Deficit ◽  
Oil Prices ◽  
Crude Oil Prices ◽  
Domestic Credit ◽  
Short Run ◽  
The Impact

This paper aims to examine the main determinants of inflation in Vietnam during the period from 2002Q1 to 2013Q2. The cointegration theory and the Vector Error Correction Model (VECM) approach are used to examine the impact of domestic credit, interest rate, budget deficit, and crude oil prices on inflation in both long and short terms. The results show that while there are long-term relations among inflation and the others, such factors as oil prices, domestic credit, and interest rate, in the short run, have no impact on fluctuations of inflation. Particularly, the budget deficit itself actually has a short-run impact, but its level is fundamentally weak. The cause of the current inflation is mainly due to public's expectations of the inflation in the last period. Although the error correction, from the long-run relationship, has affected inflation in the short run, the coefficient is small and insignificant. In other words, it means that the speed of the adjustment is very low or near zero. This also implies that once the relationship among inflation, domestic credit, interest rate, budget deficit, and crude oil prices deviate from the long-term trend, it will take the economy a lot of time to return to the equilibrium state.

Forecasting Crude Oil price using Artificial Neural Network model

2021 ◽  
pp. 321-326
Author(s):  
Sivaprakash J. ◽  
Manu K. S.
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Crude Oil ◽  
Back Propagation ◽  
Oil Prices ◽  
Oil Price ◽  
Back Propagation Algorithm ◽  
Crude Oil Price ◽  
Propagation Algorithm ◽  
Crude Oil Prices

In the advanced global economy, crude oil is a commodity that plays a major role in every economy. As Crude oil is highly traded commodity it is essential for the investors, analysts, economists to forecast the future spot price of the crude oil appropriately. In the last year the crude oil faced a historic fall during the pandemic and reached all time low, but will this situation last? There was analysis such as fundamental analysis, technical analysis and time series analyses which were carried out for predicting the movement of the oil prices but the accuracy in such prediction is still a question. Thus, it is necessary to identify better methods to forecast the crude oil prices. This study is an empirical study to forecast crude oil prices using the neural networks. This study consists of 13 input variables with one target variable. The data are divided in the ratio 70:30. The 70% data is used for training the network and 30% is used for testing. The feed forward and back propagation algorithm are used to predict the crude oil price. The neural network proved to be efficient in forecasting in the modern era. A simple neural network performs better than the time series models. The study found that back propagation algorithm performs better while predicting the crude oil price. Hence, ANN can be used by the investors, forecasters and for future researchers.

The optimal thermal causal path analysis on the relationship between international crude oil price and stock market

Kybernetes ◽  
2018 ◽  
Vol 47 (6) ◽  
pp. 1242-1261 ◽  
Author(s):  
Can Zhong Yao ◽  
Peng Cheng Kuang ◽  
Ji Nan Lin
Keyword(s):  
Stock Market ◽  
Crude Oil ◽  
Stock Markets ◽  
Oil Prices ◽  
Oil Price ◽  
Chinese Stock Market ◽  
Crude Oil Price ◽  
Content Type ◽  
Crude Oil Prices ◽  
Causal Path

Purpose The purpose of this study is to reveal the lead–lag structure between international crude oil price and stock markets. Design/methodology/approach The methods used for this study are as follows: empirical mode decomposition; shift-window-based Pearson coefficient and thermal causal path method. Findings The fluctuation characteristic of Chinese stock market before 2010 is very similar to international crude oil prices. After 2010, their fluctuation patterns are significantly different from each other. The two stock markets significantly led international crude oil prices, revealing varying lead–lag orders among stock markets. During 2000 and 2004, the stock markets significantly led international crude oil prices but they are less distinct from the lead–lag orders. After 2004, the effects changed so that the leading effect of Shanghai composite index remains no longer significant, and after 2012, S&P index just significantly lagged behind the international crude oil prices. Originality/value China and the US stock markets develop different pattens to handle the crude oil prices fluctuation after finance crisis in 1998.

The Long-Term Dynamics in Crude Oil Prices

2012 ◽  
Vol 260-261 ◽  
pp. 846-851
Author(s):  
Bao Ming Qiao ◽  
Si Zhang ◽  
Hao Jin
Keyword(s):  
Crude Oil ◽  
Oil Prices ◽  
Crude Oil Prices ◽  
Oil Markets ◽  
Increasing Trend ◽  
Empirical Performance ◽  
High Volatility ◽  
Historical Data Analysis ◽  
Jump Diffusion Model

This paper reviews a long-term crude oil markets and trend of dynamic prices during 1986-2011. Based on the hypothesis that crude oil prices dynamics reflect the activity of a competitive market, a jump diffusion model is investigated to examine the empirical performance in a time series. Historical data analysis shows that crude oil prices were characterized by high volatility, high intensity jumps, and strong upward drift, and were concomitant with underlying fundamentals of crude oil markets and world economy. Furthermore, the model forecast that crude oil prices will still have an increasing trend, stay in jump for the next couple of years.

scholarly journals The Impact of Oil Prices on the Economy of Vietnam

2015 ◽  
Vol 22 (04) ◽  
pp. 142-159
Author(s):  
Hoa Nguyen Thi Lien ◽  
Trang Tran Thu ◽  
Giang Nguyen Le Ngan
Keyword(s):  
Industrial Production ◽  
Oil Prices ◽  
Test Results ◽  
Macroeconomic Performance ◽  
Price Shocks ◽  
Short Term ◽  
Correction Model ◽  
The Impact ◽  
The Relationship

In this paper we study the relationship between oil prices and macroeconomic performance by investigating the impact of oil price shocks on key macroeconomic variables of Vietnam over the 2001–2012 period. In order to test the relationship between oil prices and the value of industrial production, we use cointegration method to consider the long-term relationship and Error Correction Model (ECM) to ponder the short-term one. The test results show that the price of oil and the value of industrial production in Vietnam are positively correlated in the long term, whereas in the short term the volatility of oil prices in the last two months will negatively affect the fluctuation in the value of the current industrial production.

scholarly journals Impact of FDI inflow, crude oil prices, and economic growth on CO2 emission in Tunisia: Symmetric and asymmetric analysis through ARDL and NARDL approach

2021 ◽  
Vol 12 (1) ◽  
pp. 1-13
Author(s):  
Tarek Ghazouani
Keyword(s):  
Economic Growth ◽  
Crude Oil ◽  
Carbon Emissions ◽  
Co2 Emission ◽  
Oil Prices ◽  
Oil Price ◽  
Crude Oil Price ◽  
Fdi Inflows ◽  
Crude Oil Prices ◽  
Long Run

This study explores the symmetric and asymmetric impact of real GDP per capita, FDI inflow, and crude oil price on CO2 emission in Tunisia for the 1972–2016 period. Using the cointegration tests, namely ARDL and NARDL bound test, the results show that the variables are associated in a long run relationship. Long run estimates from both approach confirms the validity of ECK hypothesis for Tunisia. Symmetric analysis reveals that economic growth and the price of crude oil adversely affect the environment, in contrast to FDI inflows that reduce CO2 emissions in the long run. Whereas the asymmetric analysis show that increase in crude oil price harm the environment and decrease in crude oil price have positive repercussions on the environment. The causality analysis suggests that a bilateral link exists between economic growth and carbon emissions and a one-way causality ranges from FDI inflows and crude oil prices to carbon emissions. Thus, some policy recommendations have been formulated to help Tunisia reduce carbon emissions and support economic development.

REDUCING THE USAGE OF CRUDE OIL — WHAT CAN BE LEARNED FROM HIGHEST CRUDE CONSUMER COUNTRIES?

2012 ◽  
Vol 11 (02) ◽  
pp. 233-246
Author(s):  
BEZALEL GAVISH ◽  
ROYI GAVISH
Keyword(s):  
Crude Oil ◽  
Sharp Increase ◽  
Oil Prices ◽  
High Variability ◽  
Oil Consumption ◽  
Conservation Policies ◽  
Crude Oil Prices ◽  
Production And Consumption ◽  
Consumption Reduction ◽  
The Relationship

The production and consumption of crude oil became a major issue with the sharp increase in crude oil prices that took place during the last few months. We investigate the relationship between crude oil consumption and the GDP of the top crude oil consuming countries. The amount of GDP produced per barrel of crude oil varies significantly between different countries; the ratio is in the range of 2% to 10% of the GDP when the price of a barrel of crude oil is $100. The paper attempts to explain the high variability with the aim of learning from high GDP producers as to how they are able to generate a larger GDP per barrel of crude oil consumption. The paper also identifies a hysteresis effect in crude consumption reduction and illustrates how understanding it can lead to better production and conservation policies.

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