Arbeitspapier
On the economic determinants of optimal stock-bond portfolios: International evidence
Using a modified DCC-MIDAS specification that allows the long-term correlation component to be a function of multiple explanatory variables, we show that the stock-bond correlation in the US, the UK, Germany, France, and Italy is mainly driven by inflation and interest rate expectations as well as a flight-to-safety during times of stress in financial markets. Based on the new DCC-MIDAS model, we construct stock-bond hedge portfolios and show that these portfolios outperform various benchmark portfolios in terms of portfolio risk. While optimal daily weights minimize portfolio risk, we find that portfolio turnover and trading costs can be substantially reduced when switching to optimal monthly weights.
- Language
-
Englisch
- Bibliographic citation
-
Series: Discussion Paper Series ; No. 636
- Classification
-
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Financial Econometrics
Financial Markets and the Macroeconomy
Monetary Policy
Portfolio Choice; Investment Decisions
International Financial Markets
Financial Forecasting and Simulation
- Subject
-
Stock-bond correlation
DCC
DCC-MIDAS
survey data
macro expectations
forecasting
portfolio choice
asset allocation
- Event
-
Geistige Schöpfung
- (who)
-
Conrad, Christian
Stürmer, Karin
- Event
-
Veröffentlichung
- (who)
-
University of Heidelberg, Department of Economics
- (where)
-
Heidelberg
- (when)
-
2017
- DOI
-
doi:10.11588/heidok.00023231
- Handle
- URN
-
urn:nbn:de:bsz:16-heidok-232315
- Last update
-
10.03.2025, 11:41 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Conrad, Christian
- Stürmer, Karin
- University of Heidelberg, Department of Economics
Time of origin
- 2017