Fundamentals and exchange rate forecastability with simple machine learning methods
Year of publication: |
2018
|
---|---|
Authors: | Amat, Christophe ; Michalski, Tomasz ; Stoltz, Gilles |
Published in: |
Journal of international money and finance. - Amsterdam [u.a.] : Elsevier, ISSN 0261-5606, ZDB-ID 872014-9. - Vol. 88.2018, p. 1-24
|
Subject: | Exchange rates | Forecasting | Machine learning | Purchasing power parity | Taylor-rule exchange rate models | Uncovered interest rate parity | Wechselkurs | Exchange rate | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Zinsparität | Interest rate parity | Kaufkraftparität | Schätzung | Estimation | Prognose | Forecast | Wechselkurstheorie | Exchange rate theory |
-
Performance of CHEERs based equilibrium exchange rate of Pakistan
Bhatti, Muhammad Awais, (2014)
-
Do foreign exchange forecasters believe in Uncovered Interest Parity?
Cuestas, Juan Carlos, (2015)
-
Do Divisia monetary aggregates help forecast exchange rates in a negative interest rate environment?
Molinas, Luis Antonio, (2023)
- More ...
-
Fundamentals and exchange rate forecastability with machine learning methods
Amat, Christophe, (2014)
-
Forecasting exchange rates better than the random walk thanks to machine learning techniques
Amat, Christophe, (2014)
-
Fundamentals and Exchange Rate Forecastability with Machine Learning Methods
Michalski, Tomasz, (2014)
- More ...