By: |
Chia-Lin Chang (Department of Applied Economics, National Chung Hsing University);
Michael McAleer (Erasmus University Rotterdam, Tinbergen Institute, The Netherlands, and Institute of Economic Research, Kyoto University);
Roengchai Tansuchat (Faculty of Economics, Maejo University) |
Abstract: |
This paper investigates the conditional correlations and volatility spillovers
between the crude oil and financial markets, based on crude oil returns and
stock index returns. Daily returns from 2 January 1998 to 4 November 2009 of
the crude oil spot, forward and futures prices from the WTI and Brent markets,
and the FTSE100, NYSE, Dow Jones and S&P500 stock index returns, are analysed
using the CCC model of Bollerslev (1990), VARMA- GARCH model of Ling and
McAleer (2003), VARMA-AGARCH model of McAleer, Hoti and Chan (2008), and DCC
model of Engle (2002). Based on the CCC model, the estimates of conditional
correlations for returns across markets are very low, and some are not
statistically significant, which means the conditional shocks are correlated
only in the same market and not across markets. However, the DCC estimates of
the conditional correlations are always significant. This result makes it
clear that the assumption of constant conditional correlations is not
supported empirically. Surprisingly, the empirical results from the
VARMA-GARCH and VARMA-AGARCH models provide little evidence of volatility
spillovers between the crude oil and financial markets. The evidence of
asymmetric effects of negative and positive shocks of equal magnitude on the
conditional variances suggests that VARMA-AGARCH is superior to VARMA-GARCH
and CCC. |
Keywords: |
Multivariate GARCH, volatility spillovers, conditional correlations, crude oil prices, spot, forward and futures prices, stock indices. |
JEL: |
C22 C32 G32 |
Date: |
2010–08 |
URL: |
http://d.repec.org/n?u=RePEc:kyo:wpaper:715&r=rmg |