Residual-augmented IVX predictive regression
Year of publication: |
2022
|
---|---|
Authors: | Demetrescu, Matei ; Rodrigues, Paulo M. M. |
Published in: |
Journal of econometrics. - Amsterdam [u.a.] : Elsevier, ISSN 0304-4076, ZDB-ID 184861-6. - Vol. 227.2022, 2, p. 429-460
|
Subject: | Predictability | Persistence | Persistence change | Bias reduction | Prognoseverfahren | Forecasting model | Regressionsanalyse | Regression analysis | Systematischer Fehler | Bias | Zeitreihenanalyse | Time series analysis | Schätztheorie | Estimation theory | Prognose | Forecast |
-
Halbert White jr. Memorial JFEC Lecture : pitfalls and possibilities in predictive regression
Phillips, Peter C. B., (2015)
-
Predictive regression with p-lags and order-q autoregressive predictors
Jayetileke, Harshanie L., (2021)
-
Forecasting the real prices of crude oil : a robust weighted least squares approach
Wang, Yudong, (2022)
- More ...
-
Tests of no cross-sectional error dependence in panel quantile regressions
Demetrescu, Matei, (2023)
-
Tests of no cross-sectional error dependence in panel quantile regressions
Demetrescu, Matei, (2023)
-
Testing for episodic predictability in stock returns
Demetrescu, Matei, (2022)
- More ...