We use high-frequency intra-day realized volatility to evaluate the relative forecasting performance of several models for the volatility of crude oil daily spot returns. Our objective is to evaluate the predictive ability of time-invariant and Markov switching GARCH models over different horizons. Using Carasco, Hu and Ploberger (2014) test for regime switching in the mean and variance of the ...

The extensive fluctuations in oil prices have vast impacts on economies. The economical instability may be observed for both oil-exporting and oil-importing countries due to high volatility of oil prices. Oil price data as a time series is a highly nonlinear system which exhibits complex patterns. Traditional oil time series analysis employs statistical methods to model and explain the oil data...

The main objective of this research is to analyze the impact of oil price volatility on the economic growth of Pakistan. Secondary data from 1973 to 2011 were used to estimate the coefficients. Linear Regression analysis is used to analyze the dependency among the dependant and independent variables. All variable Oil price, Oil supply, oil demand, Gross Domestic production, Public sector invest...

This article studies U.S. monthly inflation, inflation growth, and price level dynamics from January 1967 to September 2005. Two rolling samples are constructed to recover evidence about instability in inflation, inflation growth, and price level persistence and volatility. Evidence is presented that changes in inflation, inflation growth, and price level persistence and volatility coincide wit...

This paper examines volatility transmission in oil, ethanol and corn prices in the United States between 1997 and 2011. We follow a multivariate GARCH approach to evaluate the level of interdependence and the dynamics of volatility across these markets. Preliminary results indicate a higher interaction between ethanol and corn markets in recent years, particularly after 2006. We only observe, h...

This study examines the impact of oil price volatility on macroeconomic variables of the economy of Pakistan. We employed the Glosten, Jagannathan and Runkle (GJR) and Vector Autoregressive (VAR) models. The outcomes of the GJR model show the symmetric effect of oil price shock on conditional variance. Whereas Impulse Response Functions (IRFs) show the hostile effect on the employment and the o...

Robust Estimation in Nonlinear Modeling of Volatility Transmission in Stock Market S.B. Ebrahimi * Department of Industrial Engineering, K.N.Toosi University of Technology, Tehran, Iran * Email: [email protected] (Received: 12 September 2015; Revised: 8 May 2016; Accepted: 24 June 2016) Volatility transmission means the connection between different markets in a way that volatility can be tr...

The main purpose of this paper is to provide a quantitative analysis to investigate the behavior of the OPEC oil price. Obtaining the best mathematical equation to describe the price and volatility of oil has a great importance. Stochastic differential equations are one of the best models to determine the oil price, because they include the random factor which can apply the effect of different ...