South African inflation modelling using bootstrapped long short-term memory methods

Author:

Kubheka Sihle

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Reference16 articles.

1. Almosova A, Andresen N (2019) Nonlinear inflation forecasting with recurrent neural networks

2. Aucoin C, Cilliers J (2016) Economics, governance and instability in South Africa. Inst Secur Stud Pap 293:1–24

3. Balcilar M, Gupta R, Jooste C (2016) Analyzing South Africa’s inflation persistence using an Arfima model with Markov-switching fractional differencing parameter. J Dev Areas 50(1):47–57

4. Boateng A, Lesaoana M, Siweya H et al (2017) Modelling persistence in the conditional mean of inflation using the Arfima process with Garch and Gjrgarch innovations: the case of Ghana and South Africa. Afr Rev Econ Finance 9(2):96–130

5. Boateng A, Lesaoana M, Siweya H et al (2018) Non-linearities, structural breaks and fractional integration in the analysis of the Ghanaian and the South African cpi inflation rates. J Dev Areas 52(1):157–168

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