Forecasting government bond yields with neural networks considering cointegration
Year of publication: |
January 2016
|
---|---|
Authors: | Wegener, Christoph ; Spreckelsen, Christian von ; Basse, Tobias ; Mettenheim, Hans-Jörg von |
Published in: |
Journal of forecasting. - Chichester : Wiley, ISSN 0277-6693, ZDB-ID 783432-9. - Vol. 35.2016, 1, p. 86-92
|
Subject: | neural networks | cointegration | government bond yields | Neuronale Netze | Neural networks | Öffentliche Anleihe | Public bond | Kointegration | Cointegration | Prognoseverfahren | Forecasting model | Zinsstruktur | Yield curve | Kapitaleinkommen | Capital income | Theorie | Theory |
-
The European financial crisis : a challenge for ten-year German government bond yield forecasts?
Kunze, Frederik, (2014)
-
Non-linearities and persistence in US long-run interest rates
Caporale, Guglielmo Maria, (2020)
-
Are bond markets really overpriced : the case of the US
Clostermann, Jörg, (2005)
- More ...
-
Spreckelsen, Christian Von, (2014)
-
Spreckelsen, Christian von, (2014)
-
Real-time pricing of options on currency futures with artificial neural networks
Spreckelsen, Christian von, (2014)
- More ...