Gold, Oil, and Stocks: Dynamic Correlations

28 Pages Posted: 7 May 2015

See all articles by Jozef Baruník

Jozef Baruník

Charles University in Prague - Department of Economics; Institute of Information Theory and Automation, Prague

Evžen Kočenda

Charles University in Prague - Institute of Economic Studies; Institute of Information Theory and Automation (Czech Academy of Sciences) - Department of Econometrics; CESifo; University of Regensburg - Institute for East and Southeast European Studies; University of Michigan at Ann Arbor - The William Davidson Institute

Lukas Vacha

Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic; Charles University in Prague - Department of Economics

Date Written: April 30, 2015

Abstract

We employ a wavelet approach and conduct a time-frequency analysis of dynamic correlations between pairs of key traded assets (gold, oil, and stocks) covering the period from 1987 to 2012. The analysis is performed on both intra-day and daily data. We show that heterogeneity in correlations across a number of investment horizons between pairs of assets is a dominant feature during times of economic downturn and financial turbulence for all three pairs of the assets under research. Heterogeneity prevails in correlations between gold and stocks. After the 2008 crisis, correlations among all three assets increase and become homogenous: the timing differs for the three pairs but coincides with the structural breaks that are identified in specific correlation dynamics. A strong implication emerges: during the period under research, and from a different-investment-horizons perspective, all three assets could be used in a well-diversified portfolio only during relatively short periods.

Keywords: financial markets, time-frequency dynamics, gold, oil, stocks, high-frequency data, dynamic correlation, financial crisis, wavelets

JEL Classification: C010, C130, C580, F370, G110, G150

Suggested Citation

Barunik, Jozef and Kocenda, Evzen and Vacha, Lukas, Gold, Oil, and Stocks: Dynamic Correlations (April 30, 2015). CESifo Working Paper Series No. 5333. Available at SSRN: https://ssrn.com/abstract=2603596

Jozef Barunik

Charles University in Prague - Department of Economics ( email )

Opletalova 26
Prague 1, 110 00
Czech Republic

HOME PAGE: http://ies.fsv.cuni.cz/en/staff/barunik

Institute of Information Theory and Automation, Prague ( email )

Pod vodarenskou vezi 4
CZ-18208 Praha 8
Czech Republic

HOME PAGE: http://staff.utia.cas.cz/barunik/home.htm

Evzen Kocenda (Contact Author)

Charles University in Prague - Institute of Economic Studies ( email )

Opletalova St. 26
Prague, 11000
Czech Republic

HOME PAGE: http://kocenda.fsv.cuni.cz

Institute of Information Theory and Automation (Czech Academy of Sciences) - Department of Econometrics ( email )

Pod vodarenskou vezi 4
CZ-18208 Praha 8
Czech Republic

CESifo

Poschinger Str. 5
Munich, DE-81679
Germany

University of Regensburg - Institute for East and Southeast European Studies

Landshuterstr. 4
Regensburg, 93047
Germany

University of Michigan at Ann Arbor - The William Davidson Institute

724 E. University Ave.
Wyly Hall
Ann Arbor, MI 48109-1234
United States

Lukas Vacha

Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic ( email )

Pod vodarenskou vezi 4
Praha, CZ-18208
Czech Republic

Charles University in Prague - Department of Economics ( email )

Opletalova 26
Prague, 11000
Czech Republic

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