The short- and long-run cyclical variation of the cross-asset nexus: Mixed-frequency evidence on financial and ‘financialised’ assets
Year: 2025
Type: article
Abstract: We study the dynamic interdependence between stocks, a risky and financial ‘by definition’ asset class, and the ‘financialised’ assets from the real estate and commodity markets. We first introduce a new multivariate corrected Dynamic Conditional Correlations Mixed-Data Sampling (cDCC-MIDAS) model through which we analyse short- and long-run time-varying correlation dynamics among stocks, real estate, and five commodity types with direct implications for risk management and portfolio optimisation. The correlation analysis identifies short- and long-run hedging properties and interdependence types and concludes on strong countercyclical cross-asset interlinkages, highly dependent on the state of the economy in most cases (contagion effects) and weak procyclical connectedness for certain safe-haven assets (flight-to-quality). We further investigate the macro-relevance and crisis-vulnerability of the correlations’ evolution by unveiling the macro-determinants of asset co-movements. The economic environment plays a key role as a contagion or flight-to-quality transmitter, outweighing the effects of economic linkages among assets, while the uncertainty channel intensifies the macro impact on the cross-asset nexus. • We propose a new Mixed-Frequency Conditional Correlations multivariate specification. • The short- and long-run cross-asset nexus is macro-sensitive and crisis-vulnerable. • Correlations among financial and financialised assets are mostly countercyclical. • Safe-haven asset properties are identified in procyclical cases (flight-to-quality). • Macro proxies are short- and long-run contagion or flight-to-quality transmitters.
Source: Journal of commodity markets
Institutions: Brunel University of London, Queen Mary University of London
Language: English
Subfield: Finance
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $2,910
OpenAlex ID: W4408029617