Nonlinear predictability of stock returns? : parametric versus nonparametric inference in predictive regressions
| Year of publication: |
2022
|
|---|---|
| Authors: | Demetrescu, Matei ; Hillmann, Benjamin |
| Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Abingdon : Taylor & Francis, ISSN 1537-2707, ZDB-ID 2043744-4. - Vol. 40.2022, 1, p. 382-397
|
| Subject: | Endogeneity | Chi-square distribution | Nonlinear regression function | Predictive regression | Time-varying variance | Unknown persistence | Regressionsanalyse | Regression analysis | Prognoseverfahren | Forecasting model | Kapitaleinkommen | Capital income | Nichtlineare Regression | Nonlinear regression | Schätzung | Estimation | Börsenkurs | Share price | Schätztheorie | Estimation theory | Kapitalmarktrendite | Capital market returns |
-
Gaussian inference in predictive regressions for stock returns
Demetrescu, Matei, (2025)
-
Testing for episodic predictability in stock returns
Demetrescu, Matei, (2022)
-
Can stale oil price news predict stock returns?
Narayan, Paresh Kumar, (2019)
- More ...
-
Gaussian inference in predictive regressions for stock returns
Demetrescu, Matei, (2025)
-
Inference in predictive regression models with persistent regressors
Hillmann, Benjamin, (2021)
-
Inference in predictive regression models with persistent regressors
Hillmann, Benjamin, (2021)
- More ...