Department of Economics and Business Economics

Realizing Correlations Across Asset Classes

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

We introduce a simple and intuitive composite model for forecasting correlations for use in portfolio optimization. Each element of the composite model is based on a realized volatility model. To test our model, we consider an investor seeking to diversify an equity portfolio by including commodities. In a high-frequency setting, we demonstrate that significant economic gains can be achieved by basing portfolio decisions on our modeling framework. The gains depend on the quality of the chosen volatility model, and for our preferred model, they are economically significant despite the realistic constraints on short selling and portfolio turnover.

Original languageEnglish
Article number100729
JournalJournal of Financial Markets
IssuePart A
Number of pages16
Publication statusPublished - Jun 2022

    Research areas

  • Commodities, Futures markets, Portfolio selection, Realized beta GARCH

See relations at Aarhus University Citationformats

ID: 261354225