• Medientyp: E-Book
  • Titel: Understanding Dynamic Conditional Correlations between Commodities Futures Markets
  • Beteiligte: Behmiri, Niaz [VerfasserIn]; Manera, Matteo [Sonstige Person, Familie und Körperschaft]; Nicolini, Marcella [Sonstige Person, Familie und Körperschaft]
  • Erschienen: [S.l.]: SSRN, [2016]
  • Erschienen in: FEEM Working Paper ; No. 017.2016
  • Umfang: 1 Online-Ressource (35 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.2744552
  • Identifikator:
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments March 8, 2016 erstellt
  • Beschreibung: We estimate dynamic conditional correlations between 10 commodities futures returns in energy, metals and agriculture markets over the period 1998-2014 with a DCC-GARCH model. We look at the factors influencing those correlations, adopting a pooled mean group (PMG) estimator. Macroeconomic variables are significantly correlated with agriculture-energy and metals-energy dynamic conditional correlations; while financial variables are relevant in the agriculture-energy correlations and poorly significant in the metals-energy ones. Speculative activity is generally not statistically significant. Correlations started increasing in the years before the financial crisis and decreased at the end of our period of analysis
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