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This paper analyzes recursive and rolling neural network models to forecast one-step-ahead sign variations in gold price. Different combinations of techniques and sample sizes are studied for feed forward and ward neural networks. The results shows the rolling ward networks exceed the recursive...
Persistent link: https://www.econbiz.de/10013121966
This paper analyzes recursive and rolling neural network models to forecast one-step-ahead sign variations in gold price. Different combinations of techniques and sample sizes are studied for feed forward and ward neural networks. The results shows the rolling ward networks exceed the recursive...
Persistent link: https://www.econbiz.de/10005300116
This article validates the chaotic behavior in the Argentinean, Brazilian, Canadian, Chilean, American, Peruvian and Mexican Stock Markets using the Merval, Bovespa, S&P TSX Composite, IPSA, IGPA, S&P 500, Dow Jones Industrials, Nasdaq, IGBVL and IPC Stock Indexes respectively. The results of...
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