A machine learning approach to univariate time series forecasting of quarterly earnings
Year of publication: |
2020
|
---|---|
Authors: | Fischer, Jan Alexander ; Pohl, Philipp ; Ratz, Dietmar |
Subject: | Quarterly earnings forecasting | ARIMA models | Support vector regression | Time-series regression | Machine learning | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Zeitreihenanalyse | Time series analysis | Regressionsanalyse | Regression analysis | ARMA-Modell | ARMA model | Prognose | Forecast | Theorie | Theory |
-
Hajibabaei, Saeed, (2014)
-
Evangelista, Vivian M., (2019)
-
Ürkmez, Emre, (2025)
- More ...
-
A machine learning approach to univariate time series forecasting of quarterly earnings
Fischer, Jan Alexander, (2020)
-
A Nonsmooth Global Optimization Technique Using Slopes: The One-Dimensional Case
Ratz, Dietmar, (1999)
-
Pohl, Philipp, (2008)
- More ...