Dynamic Correlation between Oil Markets and Financial Markets and Oil and Petrochemical Industries in Iran
Authors
Abstract:
In this paper we study the effect of volatility in Brent oil prices on the important indices of financial markets in Iran, as well as the return on gold, from 2008 to 2018 using the Multivariate Exponential GARCH Model (MVEGARCH). We also use the ADCC-FIGARCH model to examine the asymmetric dynamic conditional correlation between Brent oil prices and financial markets in Iran. The results of this study indicate significant volatility spillovers and dynamic correlation between Brent oil volatility and financial markets and oil and petrochemical industries in Iran. In addition, portfolio diversification is effective in reducing risk, and the optimal asset weight and hedging are entirely dependent on financial market conditions. The experimental results of this study reveal that adding the Brent index to the model increases portfolio yields and decreases their risk. We find the addition of Brent prices to be most helpful in risk management during periods of financial crisis. In addition, the dynamic correlation coefficient between Brent oil and gold fluctuations is about 0.26 and this coefficient for Brent oil and Tehran stock exchange index is about 0.08. JEL Classification: G10, G11, G32 Keywords: Brent Oil, Financial Markets, Portfolio, Risk Management, volatility spillovers.
similar resources
A framework for Measuring the Dynamics Connections of Volatility in Oil and Financial Markets
Investigating connections between financial and oil markets is important for investors and policy makers. This knowledge allows for appropriate decision making. In this paper, we measure the dynamic connections of selected stock markets in the Middle East with oil markets, gold, dollar index and euro-dollar and pound-dollar exchange rates during the period February 2007 to August 2019 in networ...
full textsimulation and experimental studies for prediction mineral scale formation in oil field during mixing of injection and formation water
abstract: mineral scaling in oil and gas production equipment is one of the most important problem that occurs while water injection and it has been recognized to be a major operational problem. the incompatibility between injected and formation waters may result in inorganic scale precipitation in the equipment and reservoir and then reduction of oil production rate and water injection rate. ...
Volatility in Natural Gas and Oil Markets
I use daily futures price data to examine the behavior of natural gas and crude oil price volatility in the U.S. since 1990. I test whether there has been a significant trend in volatility, whether there was a short-term increase in volatility during the time of the Enron collapse, and whether natural gas and crude oil price volatilities are interrelated. I also measure the persistence of shock...
full textCorrelation, Hierarchies, and Networks in Financial Markets
We discuss methods to quantitatively investigate the properties of correlation matrices of a financial system. Correlation matrices play an important role in portfolio optimization and in several other quantitative descriptions of asset price dynamics in financial markets. Specifically, we discuss how to define and obtain hierarchical trees, correlation-based trees and networks from a correlati...
full textCross-correlations between crude oil and agricultural commodity markets
In this paper, we investigate cross-correlations between crude oil and agricultural commodity markets. Based on a popular statistical test proposed by Podobnik et al. (2009), we find that the linear return cross-correlations are significant at larger lag lengths and the volatility cross-correlations are highly significant at all of the lag lengths under consideration. Using a detrended cross-co...
full textInvestigating Cointegration and the Causal Relationship Between of Exchange Rate, Oil Price and Gas Price in Regional Markets
Short-term and long-term relationship between exchange rate, oil price and spot gas price of three regional gas markets was investigated using and estimating the Vector Autoregressive model. There is a significant and long-term relationship between variables.Short-term interactions of variables with Granger causality test One-year interaction of variables with intervals of one to twelve months ...
full textMy Resources
Journal title
volume 16 issue 65
pages 1- 34
publication date 2020-07
By following a journal you will be notified via email when a new issue of this journal is published.
No Keywords
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023