Improving forecast accuracy of financial vulnerability : PLS factor model approach
Year of publication: |
2020
|
---|---|
Authors: | Kim, Hyeongwoo ; Ko, Kyunghwan |
Published in: |
Economic modelling. - Amsterdam [u.a.] : Elsevier, ISSN 0264-9993, ZDB-ID 86824-3. - Vol. 88.2020, p. 341-355
|
Subject: | Partial least squares | Principal component analysis | Financial stress index | Out-of-sample forecast | RRMSPE | Prognoseverfahren | Forecasting model | Faktorenanalyse | Factor analysis | Theorie | Theory | Kleinste-Quadrate-Methode | Least squares method | Partielle kleinste Quadrate | Hauptkomponentenanalyse | Finanzkrise | Financial crisis |
-
Improving forecast accuracy of financial vulnerability : PLS factor model approach
Kim, Hyeongwoo, (2017)
-
Improving forecast accuracy of financial vulnerability : PLS factor model approach
Kim, Hyeongwoo, (2019)
-
What charge‐off rates are predictable by macroeconomic latent factors?
Kim, Hyeongwoo, (2023)
- More ...
-
Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach
Kim, Hyeongwoo, (2018)
-
Improving Forecast Accuracy of Financial Vulnerability : Partial Least Squares Factor Model Approach
Kim, Hyeongwoo, (2017)
-
Improving forecast accuracy of financial vulnerability : PLS factor model approach
Kim, Hyeongwoo, (2017)
- More ...