Dynamic jump intensities and news arrival in oil futures markets

Dynamic Correlation between Oil Markets and Financial Markets and Oil and Petrochemical Industries in Iran

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 th...

Psychological barriers in oil futures markets

a r t i c l e i n f o Available online xxxx JEL classification: G15 O13 Q43 Keywords: Psychological barriers Clustering WTI Brent Multiple hypothesis testing WTI and Brent futures are tested for the presence of psychological barriers around $10 price levels, applying a multiple hypothesis testing approach for statistical robustness. Psychological barriers are found to be present in Brent prices...

Dynamic Decision Making in Agricultural Futures and Options Markets

Jump Intensities, Jump Sizes, and the Relative Stock Price Level

Large stock price movements are modeled as jumps in the stochastic processes of stock prices. In the current literature, the jump intensity is typically specified in models as a function of the current diffusive volatility and past jump intensities, while the jump size is assumed to be independent of the jump intensity. We use a nonparametric jump detection test to identify jumps in several sto...

News Arrival, Jump Dynamics and Volatility Components for Individual Stock Returns∗

This paper models different components of the return distribution which are assumed to be directed by a latent news process. The conditional variance of returns is a combination of jumps and smoothly changing components. This mixture captures occasional large changes in price, due to the impact of news innovations such as earnings surprises, as well as smoother changes in prices which can resul...