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Neuronale Regressionsmodelle in der Devisenkursprognose

Hann, Tae Horn - In: Datamining und computational finance : Ergebnisse des …, (pp. 1-15). 2000

Persistent link: https://www.econbiz.de/10001484207

Rating mittels statistischer neuronaler Netze : theoretische Relevanz, Abgrenzung und Anwendungspotential eines neuen Ansatzes zur Prognose von Finanzkrisen

Menck, Kai-Peter - 2001

Persistent link: https://www.econbiz.de/10001561563

Corporate rating forecasting using artificial intelligence statistical techniques

Caridad, Daniel; Hančlová, Jana; El Woujoud … - In: Investment management and financial innovations 16 (2019) 2, pp. 295-312

Persistent link: https://www.econbiz.de/10012122287

Neural networks and econometric methodologies for South African exchange rate forecasting

Wesso, G. R. - In: Tydskrif vir studies in ekonomie en ekonometrie : SEE 20 (1996) 3, pp. 21-38

Persistent link: https://www.econbiz.de/10001373399

Real-time grain commodities price predictions in South Africa : a big data and neural networks approach

Ayankoya, Kayode; Calitz, Andre P.; Greyling, Jean H. - In: Agrekon : agricultural economics research, policy and … 55 (2016) 4, pp. 483-508

Persistent link: https://www.econbiz.de/10011733953

Forecasting stock market realized volatility using random forest and artificial neural network in South Africa

Diane, Lamine; Brijlal, Pradeep - In: International journal of economics and financial issues … 14 (2024) 2, pp. 5-14

Persistent link: https://www.econbiz.de/10014581568

Complementing South African inflation surveys : a suitable forecasting tool

Van Heerden, Chris; Heymans, Andre; Seetharam, Yudhvir - In: Journal of economic and financial sciences : JEF 11 (2018) 1, pp. 1-14

Persistent link: https://www.econbiz.de/10012017405

A hybrid of Box-Jenkins ARIMA model and Neural Networks for forecasting South African crude oil prices

Tsoku, Johannes Tshepiso; Metsileng, Daniel; Botlhoko, … - 2024

The current study aims to model the South African crude oil prices using the hybrid of Box-Jenkins autoregressive integrated moving average (ARIMA) and Neural Networks (NNs). This study introduces a hybrid approach to forecasting methods aimed at resolving the issues of lack of precision in...

Persistent link: https://www.econbiz.de/10015337777

A model selection approach to assessing the information in the term structure using linear models and artificial neural networks

Swanson, Norman R.; White, Halbert - 1992

Persistent link: https://www.econbiz.de/10000853617

Neural networks and the financial markets : predicting, combining, and portfolio optimisation

Shadbolt, Jimmy (contributor); Taylor, John G. (contributor) - 2002

Persistent link: https://www.econbiz.de/10001665786