Complementing South African inflation surveys : a suitable forecasting tool
Year of publication: |
2018
|
---|---|
Authors: | Van Heerden, Chris ; Heymans, Andre ; Seetharam, Yudhvir |
Published in: |
Journal of economic and financial sciences : JEF. - Johannesburg : Univ., ISSN 2312-2803, ZDB-ID 2824729-2. - Vol. 11.2018, 1, p. 1-14
|
Subject: | inflation expectations | forecasting | Holt-Winters | SARIMA | neural networks | Inflationserwartung | Inflation expectations | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Südafrika | South Africa | Inflation | Prognose | Forecast |
-
Forecasting gasoline demand in Indonesia using time series
Mardiana, Sylvia, (2020)
-
A deep learning approach to estimation of the Phillips curve in South Africa
Du Rand, Gideon, (2023)
-
Diane, Lamine, (2024)
- More ...
-
The influence of higher moments and non-normality on the sharpe ratio : a South African perspective
Van Heerden, Chris, (2015)
-
Van Heerden, Chris, (2020)
-
Selecting the ideal risk-free rate proxy for the South African market
Van Heerden, Chris, (2021)
- More ...