Macro-Finance Determinants of the Long-Run Stock-Bond Correlation: The DCC-MIDAS Specification
Author
Summary, in English
We investigate the long-run stock-bond correlation using a novel model that combines the dynamic conditional correlation model with the mixed-data sampling approach. The long-run correlation is affected by both macro-finance variables (historical and forecasts) and the lagged realized correlation itself. Macro-finance variables and the lagged realized correlation are simultaneously significant in forecasting the long-run stock-bond correlation. The behavior of the long-run stock-bond correlation is very different when estimated taking the macro-finance variables into account. Supporting the flight-to-quality phenomenon for the total stock-bond correlation, the long-run correlation tends to be small/negative when the economy is weak.
Department/s
Publishing year
2014
Language
English
Publication/Series
Working Paper / Department of Economics, School of Economics and Management, Lund University
Issue
37
Links
Document type
Working paper
Publisher
Department of Economics, Lund University
Topic
- Economics
- Business Administration
Keywords
- DCC-MIDAS model
- Long-run correlation
- Macro-finance variables
- Stock-bond correlation
Status
Published