|
|
|
 |
Search published articles |
 |
|
Showing 3 results for Volatility Spillover
Professor Mohammad Ali Falahi, Professor Mohammad Reza Lotfalipour, Elahe Karimi,
Volume 12, Issue 49 (9-2016)
Abstract
The ability to identify the volatility spillover between assets has many applications in macroeconomics and finance. The Knowledge of spillover, for investors, improves the prediction of volatility and can be used in asset pricing, too. Similarly, the effect of the spillover may show the transfer of information and help to design the conditional hedging ratio. The present study, using GARCH-BEKK approach, investigates the effect of volatility spillover between crude oil, gasoline and diesel fuel markets. Therefore international daily spot prices of these products during 2000 – 2012 are used. The results show that the spillover effect in energy markets are statistically significant. Except the shock spillover from gasoline and diesel markets to crude oil and the shock spillover effect from diesel fuel to crude oil, The other shock spillovers and volatility spillovers are significant at the 99 percent level
Abdolrasoul Ghasemi, Teymour Mohammadi, Hossein Tavakolian, Ali Sadeghin,
Volume 16, Issue 65 (7-2020)
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.
Nasser Gholami, Abdol Rasul Ghasemi, Teymor Mohammadi,
Volume 16, Issue 67 (2-2021)
Abstract
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 networks with different weekly horizons. In this paper, we intend to evaluate the pairwise impact of crude oil and Middle East stock markets, in particular on the Tehran Stock Exchange, and to analyze this variance using different time horizons. The results show that in all time horizons the variance of prediction error in most markets is due to the shocks within each market. The Saudi Arabian Stock Exchange has the most impact on other Middle Eastern stock markets. The dynamic connections between oil and financial decreases over time. The most important factor that impacts financial markets is conditions in neighbouring stock markets, except the Tehran Stock Exchange. Dynamic connections of the gold market with other markets is not significant. Therefore, it can be used as a tool to hedge risk.
JEL Classification: C58, D53
Keywords: Oil Market Volatility, Designing system, Volatility Spillover, Variance Decomposition Approach, Dynamics connectedness, Network
|
|
