Oil and Methanol Price volatility

2013 ◽  
Vol 03 (08) ◽  
pp. 01-10
Author(s):  
Majid Delavari ◽  
Nadiya Gandali Ali khani ◽  
Esmaeil Naderi

Crude oil as one of the main sources of energy is also the main source of income for members of OPEC. So, the volatility of crude oil price is one of the main economic variables in the world and analysis of the effect of its changes on key economic factors has been always considered as significant. The reason might be the high sensitivity of oil price to political, economic and cultural issues worldwide and consequently its volatility on the one hand, and the high influence of the volatile prices on macroeconomic variables. On the other hand, for different reasons such as oil price volatilities and income from oil export, economic planners and policy makers in Iran have been mainly focused on the promotion of non-oil exports especially during the last few decades. Therefore, methanol as one of the most commonly used petrochemical products has a high potential for production and export of non-oil products in Iran. For this reason, in the present study there was an attempt to examine the relationship between the prices of Iran’s crude oil and methanol using FIGARCH model and based on the weekly time series data related to the research variables. The results of the study showed that the long memory parameter is equal to 0.32 which is meaning the shocks caused by volatility of methanol market and crude oil price to the methanol price were lasting and meaningful and were revealed in the long term.

2019 ◽  
Vol 1 (1) ◽  
pp. 21-40
Author(s):  
Michael Alexander Santoso ◽  
Apriani Dorkas Rambu Atahau ◽  
Robiyanto Robiyanto

Purpose- This research aimed to study the effect of macroeconomic variables: Dow Jones Industrial Average, USD/IDR, and World Crude Oil Price towards Jakarta Composite Index (JCI) during the period of 2005-2016. Methods- This research using the daily closing prices of Dow Jones Industrial Average (JCI), USD/IDR, World Crude Oil Price, and Jakarta Composite Index, the GARCH (1,1) The data analysis technique used in this study is Generalized Autoregressive Conditional Heteroscedasticity (GARCH). The reason for choosing the GARCH analysis technique is that this study uses time series data which is often abnormal and cannot be normalized. Finding- Analysis show that Dow Jones Industrial Average and world crude oil price has a positive significant effect on the JCI while USD/IDR has a negative significant effect on JCI. Implication- The findings imply the importance to consider macroeconomic variables when investing at Jakarta Stock Exchange


Author(s):  
Maria Ariesta Utha

<p class="Style1"><em>This research analysed the ittfluence of crude oil price, gold price, and exchange </em><em>rate toward composite index in Indonesian Stock Exchange. Dependent variable of this </em><em>reseach is composite index and independent variable of this research are crude oil </em><em>price, gold prke, and exchange rate. This Research by using time series data on period </em><em>2010-2014. The </em><em>Method of this research is multiple linier regression. To get unbiased </em><em>model, </em><em>in this research used classical assumption test. Result of this research indicate </em><em>that crude oil price and gold price have not significant influence toward composite </em><em>index and exchange rate have significant influence toward composite index. Based on determination test result crude oil price, </em><em>gold </em><em>price, and exchange rate have simultant </em><em>influence toward composite index.</em></p>


Author(s):  
Shri Dewi Applanaidu ◽  
Mukhriz Izraf Azman Aziz

Objective - This study analyzes the dynamic relationship between crude oil price and food security related variables (crude palm oil price, exchange rate, food import, food price index, food production index, income per capita and government development expenditure) in Malaysia using a Vector Auto Regressive (VAR) model. Methodology/Technique - The data covered the period of 1980-2014. Impulse response functions (IRFs) was applied to examine what will be the results of crude oil price changes to the variables in the model. To explore the impact of variation in crude oil prices on the selected food security related variables forecast error variance decomposition (VDC) was employed. Findings - Findings from IRFs suggest there are positive effects of oil price changes on food import and food price index. The VDC analyses suggest that crude oil price changes have relatively largest impact on real crude palm oil price, food import and food price index. This study would suggest to revisiting the formulation of food price policy by including appropriate weight of crude oil price volatility. In terms of crude oil palm price determination, the volatility of crude oil prices should be taken into account. Overdependence on food imports also needs to be reduced. Novelty - As the largest response of crude oil price volatility on related food security variables food vouchers can be implemented. Food vouchers have advantages compared to direct cash transfers since it can be targeted and can be restricted to certain types of products and group of people. Hence, it can act as a better aid compared cash transfers. Type of Paper - Empirical Keywords: Crude oil price, Food security related variables, IRF, VAR, VDC


2015 ◽  
Vol 6 (1) ◽  
pp. 22-37 ◽  
Author(s):  
Washington Chiwanza ◽  
Walter Gachira ◽  
Dingilizwe Nkomo ◽  
Runesu Chikore

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