Best linear unbiased disaggregation of annual GDP to quarterly figures: the case of Malaysia

Article Abstract:

The Chow-Lin procedure of estimating quarterly GDP from annual GDP is applied in the case of Malaysia. Quarterly GDP is taken by sectors from the 1st quarter of 1973 onwards. The process of time-series disaggregation of the country's GDP yields an interpolated figure that sums up interpolated sectoral outputs. This 'related-series' method is considered better than the estimates generated by traditional univariate interpolation methods.

Economic aspects, Measurement, Interpolation, Gross domestic product, Malaysia, Economic indicators, Approximation theory, Approximation

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Forecasting nonlinear time series with feed-forward neural networks: a case study of Canadian lynx data

Article Abstract:

A comparison of time series models with feed forward neural network models is drawn to assess the forecasting capabilities. For the purpose, Canadian lynx data set is used. The efficacy of feed forward neural network models is highlighted.

Canada, Japan, Neural networks, Comparative analysis, Economic forecasting, Nonlinear functional analysis, Neural network

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Performance evaluation of neural network architectures: the case of predicting foreign exchange correlations

Article Abstract:

A better assessment of the neural network architecturesE performance will help in predicting foreign exchange correlations. The selection of proper architectural design leads to the success in neural network forecasting.

United Kingdom, Forecasts, trends, outlooks, Administration of General Economic Programs, Foreign Exchange & Reserves Policy, Evaluation, Forecasts and trends, Foreign exchange, Architects, Market trend/market analysis, Job evaluation

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