Gold, Oil, and Stocks: Dynamic Correlations

Arbeitspapier

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.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: CESifo Working Paper ; No. 5333

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Econometrics ; Estimation: General ; Financial Econometrics ; International Finance Forecasting and Simulation: Models and Applications ; Portfolio Choice; Investment Decisions ; International Financial Markets
• Thema: financial markets ; time-frequency dynamics ; gold ; oil ; stocks ; high-frequency data ; dynamic correlation ; financial crisis ; wavelets

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Baruník, Jozef ; Kocenda, Evžen ; Vácha, Lukáš
• Ereignis: Veröffentlichung
• (wer): Center for Economic Studies and ifo Institute (CESifo)
• (wo): Munich
• (wann): 2015

Weitere Informationen

• Handle: http://hdl.handle.net/10419/110846
• Letzte Aktualisierung: 10.03.2025, 11:44 MEZ