Bond return predictability : macro factors and machine learning methods
Year of publication: |
2024
|
---|---|
Authors: | Jiang, Ying ; Liu, Xiaoquan ; Liu, Yirong ; Zhu, Fumin |
Subject: | Chinese bond market | government bond returns forecasting | machine learning | unspanned macroeconomic information | yield term structure | Künstliche Intelligenz | Artificial intelligence | Zinsstruktur | Yield curve | Prognoseverfahren | Forecasting model | Öffentliche Anleihe | Public bond | Kapitaleinkommen | Capital income | Anleihe | Bond | Rentenmarkt | Bond market | China | Rendite | Yield | Kapitalmarktrendite | Capital market returns |
-
Machine learning treasury yields
Kakushadze, Zura, (2020)
-
Bond return predictability : economic value and links to the macroeconomy
Gargano, Antonio, (2019)
-
Chapter 7. Forecasting Interest Rates
Duffee, Gregory, (2013)
- More ...
-
Night trading and market quality : Evidence from Chinese and US precious metal futures markets
Jiang, Ying, (2020)
-
Volatility Modeling and Prediction : The Role of Price Impact
Jiang, Ying, (2018)
-
Jiang, Ying, (2015)
- More ...