Journal Title
Review of Economics & Finance
Publication Date
8-2017
Abstract
This paper investigates the daily volatility spillovers between crude oil prices and a select group of agricultural staples. Empirical findings confirm that the price series under study exhibit nonlinear dependencies which are inconsistent with chaotic pattern. The Johansen-Juselius cointegration test rules out long-run equilibrium relationships between the crude oil prices and the commodities under study. The dynamic conditional correlations (DCC) suggest that the association between agricultural commodities and the crude oil varies over time. The spectral and cross spectral analyses confirm that volatilities in crude oil prices are associated with volatilities in the agricultural products in the sample. Bivariate EGARCH model and the Granger causality tests confirm this relationship.
Author Supplied Keywords
Crude oil prices, Volatility, EGARCH model, Spectral analysis, Cross spectral
Subjects
Economics; Petroleum products
Citation: Pilot Scholars Version (Modified MLA Style)
Adrangi, Bahram; Chatrath, Arjun; Macri, Joseph; and Raffiee, Kambiz, "Crude Oil Price Volatility Spillovers and Agricultural Commodities: A Study in Time and Frequency Domains" (2017). Business Faculty Publications and Presentations. 36.
https://pilotscholars.up.edu/bus_facpubs/36
Peer-Reviewed
Yes
Document Type
Journal Article
Publication Information
© Review of Economics & Finance, published by Better Advances Press
Archived version is the final published version.