The role of current account balance in forecasting the US equity premium : evidence from a quantile predictive regression approach
Year of publication: |
February 2017
|
---|---|
Authors: | Gupta, Rangan ; Majumdar, Anandamayee ; Wohar, Mark E. |
Published in: |
Open economies review. - Dordrecht [u.a.] : Springer Science + Business Media B.V, ISSN 0923-7992, ZDB-ID 1073291-3. - Vol. 28.2017, 1, p. 47-59
|
Subject: | Stock markets | Current account | Predictability | Quantile regression | Schätzung | Estimation | Prognoseverfahren | Forecasting model | Leistungsbilanz | Aktienmarkt | Stock market | USA | United States | Zeitreihenanalyse | Time series analysis | Regressionsanalyse | Regression analysis | Risikoprämie | Risk premium | Kapitaleinkommen | Capital income |
-
Bekiros, Stelios, (2016)
-
Time-varying predictability of the long horizon equity premium based on semiparametric regressions
Yu, Deshui, (2023)
-
Forecasting stock market returns by summing the frequency-decomposed parts
Faria, Gonçalo, (2018)
- More ...
-
Do terror attacks predict gold returns? : evidence from a quantile-predictive-regression approach
Gupta, Rangan, (2017)
-
Balcilar, Mehmet, (2010)
-
Was the recent downturn in US real GDP predictable?
Balcilar, Mehmet, (2015)
- More ...