Analysis and estimation of India's foreign exchange reserves using soft computing techniques

Анализ и оценка валютных резервов Индии с использованием методов мягких вычислений
Gautam Bandyopadhyay, Mriganka Mohan Chanda, Neelotpaul Banerjee
2019-10-25

India foreign exchangeartificial neural networkback propagationeconomic indicators forecastingforeign exchange reserves
We used a back propagation type of artificial neural networks (ANN) methodology to forecast the year-wise estimated foreign exchange reserves of India based on past data. The results indicate that in a particular financial year, if we know the values of foreign direct investments, the total expenditure for all the plan schemes and special plan schemes of the Department of Commerce, the export to import ratio, the average import duty rate, and the GDP of India, then the likely value of the foreign exchange reserves for that year can be estimated using our ANN-based method.
1
A backpropagation artificial neural network (ANN) was used to forecast year-wise Indian foreign exchange reserves from past data.
2
Results indicate the chosen set of economic indicators are sufficient predictors for estimating India’s foreign exchange reserves with the proposed ANN-based method.
3
The ANN model can estimate a financial year’s foreign exchange reserves using inputs: foreign direct investments, total plan expenditure, special plan expenditure, export-to-import ratio, average import duty rate, and GDP.

India's foreign exchange reserves

Year-wise estimation/forecasting of the value of India's foreign exchange reserves based on predictor variables (FDI, plan expenditures, export–import ratio, average import duty rate, GDP) using a back-propagation artificial neural network

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2019-10-25
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Gautam Bandyopadhyay
Mriganka Mohan Chanda
Neelotpaul Banerjee
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