Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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This Paper investigates the behavior of daily exchange rates between USD/INR, GBP/INR, CHF/INR and JPY/INR. This Paper attempts to examine the performance of ARCH/GARCH model in forecasting the currencies traded in Indian foreign exchange markets. The accuracy of the forecast is compared with Mean Error (ME), Mean Absolute Error (MAE), Mean Percentage error (MPE), Mean Absolute Percentage Error (MAPE) and Root Mean Squared Error (RMSE), Mean Absolute Square Error. Study the performance indicators of model by using AIC and BIC values. This paper attempts to examine the performance of ARCH/GARCH model in forecasting the currencies traded in Indian foreign exchange markets. Study the Forecasting value of next 5 years exchange rates USD American dollar, GBP British Pound, CHF Swiss Franc and JPY Japanese JPY currencies with INR Indian data from that investigates the behavior of daily exchange rates between USD/INR, GBP/INR, CHF/INR and JPY/INR.
Boina Jhansi Rani. 2026. \u201cForecasting Foreign Exchange Rates of Different Countries using Non Linear Models\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 22 (GJSFR Volume 22 Issue F5): .
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 107
Country: India
Subject: Global Journal of Science Frontier Research - F: Mathematics & Decision
Authors: Boina Jhansi Rani, Dr. S. A. Jyothi Rani (PhD/Dr. count: 1)
View Count (all-time): 156
Total Views (Real + Logic): 1332
Total Downloads (simulated): 25
Publish Date: 2026 01, Fri
Monthly Totals (Real + Logic):
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This Paper investigates the behavior of daily exchange rates between USD/INR, GBP/INR, CHF/INR and JPY/INR. This Paper attempts to examine the performance of ARCH/GARCH model in forecasting the currencies traded in Indian foreign exchange markets. The accuracy of the forecast is compared with Mean Error (ME), Mean Absolute Error (MAE), Mean Percentage error (MPE), Mean Absolute Percentage Error (MAPE) and Root Mean Squared Error (RMSE), Mean Absolute Square Error. Study the performance indicators of model by using AIC and BIC values. This paper attempts to examine the performance of ARCH/GARCH model in forecasting the currencies traded in Indian foreign exchange markets. Study the Forecasting value of next 5 years exchange rates USD American dollar, GBP British Pound, CHF Swiss Franc and JPY Japanese JPY currencies with INR Indian data from that investigates the behavior of daily exchange rates between USD/INR, GBP/INR, CHF/INR and JPY/INR.
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