Macro-Finance Determinants of the Long-Run Stock-Bond Correlation: The DCC-MIDAS Specification
(2014) In Working Paper / Department of Economics, School of Economics and Management, Lund University- Abstract
- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4814678
- author
- Asgharian, Hossein LU ; Christiansen, Charlotte and HOU, Ai Jun LU
- organization
- publishing date
- 2014
- type
- Working paper/Preprint
- publication status
- published
- subject
- keywords
- DCC-MIDAS model, Long-run correlation, Macro-finance variables, Stock-bond correlation
- in
- Working Paper / Department of Economics, School of Economics and Management, Lund University
- issue
- 37
- pages
- 39 pages
- publisher
- Department of Economics, Lund University
- language
- English
- LU publication?
- yes
- id
- 0996a67f-48e9-4899-b3e9-d08e17701e4b (old id 4814678)
- alternative location
- http://swopec.hhs.se/lunewp/abs/lunewp2014_037.htm
- date added to LUP
- 2016-04-04 10:00:41
- date last changed
- 2018-11-21 20:56:12
@misc{0996a67f-48e9-4899-b3e9-d08e17701e4b, abstract = {{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.}}, author = {{Asgharian, Hossein and Christiansen, Charlotte and HOU, Ai Jun}}, keywords = {{DCC-MIDAS model; Long-run correlation; Macro-finance variables; Stock-bond correlation}}, language = {{eng}}, note = {{Working Paper}}, number = {{37}}, publisher = {{Department of Economics, Lund University}}, series = {{Working Paper / Department of Economics, School of Economics and Management, Lund University}}, title = {{Macro-Finance Determinants of the Long-Run Stock-Bond Correlation: The DCC-MIDAS Specification}}, url = {{http://swopec.hhs.se/lunewp/abs/lunewp2014_037.htm}}, year = {{2014}}, }