Predictive regressions under asymmetric loss : factor augmentation and model selection
Year of publication: |
2019
|
---|---|
Authors: | Demetrescu, Matei ; Hacıoǧlu Hoke, Sinem |
Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 35.2019, 1, p. 80-99
|
Subject: | Cost-of-error function | Latent variables | Many predictors | Predictive regressions | Volatility | Prognoseverfahren | Forecasting model | Regressionsanalyse | Regression analysis | Volatilität | Schätztheorie | Estimation theory | Kapitaleinkommen | Capital income |
Description of contents: | Description [doi.org] |
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Notes: | Erratum enthalten in: International journal of forecasting, Volume 37, issue 3 (July/September 2021), Seite 1321-1322 |
Other identifiers: | 10.1016/j.ijforecast.2018.07.013 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Predictive regressions under asymmetric loss : factor augmentation and model selection
Demetrescu, Matei, (2018)
-
Mixed-frequency predictive regressions with parameter learning
Leippold, Markus, (2023)
-
Mixed-Frequency Predictive Regressions with Parameter Learning
Leippold, Markus, (2023)
- More ...
-
Predictive Regressions Under Asymmetric Loss : Factor Augmentation and Model Selection
Demetrescu, Matei, (2018)
-
Predictive regressions under asymmetric loss : factor augmentation and model selection
Demetrescu, Matei, (2018)
-
Three essays in macroeconometrics
Hacıoǧlu Hoke, Sinem, (2016)
- More ...