Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/25352
Title: Forecasting foreign exchange rate: Use of FbProphet
Authors: Raheem, Fanoon
Iqbal, Nihla
Keywords: exchange rate, FbProphet, forecasting, US Dollar
Issue Date: 2021
Publisher: Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka
Citation: Raheem Fanoon; Iqbal Nihla (2021), Automatic road traffic signs detection and recognition using ‘You Only Look Once’ version 4 (YOLOv4), International Research Conference on Smart Computing and Systems Engineering (SCSE 2021), Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka. 44-48.
Abstract: Foreign exchange rate prediction can be considered crucial in today’s world. The exchange rate of a country plays a vital role in its economic growth. The Central Bank of a country holds the authority in managing the exchange rate and its policies. The study predicts the foreign exchange rate of American Dollar to Sri Lankan Rupee using FbProphet model; a time-series forecasting model developed and introduced by Facebook. The daily exchange rate values for USD/LKR were obtained and the values are predicted for another twenty-four months starting from November 2020. R Squared value is calculated to verify the fitting of the model and the value is 0.98, which indicates that the model for prediction very well fits for the data set used. And further, Mean Squared Error and Mean Absolute Error are calculated to measure the performance of the model. These metric measurements show that the model is appropriate for the data set which has been selected for the research study.
URI: http://repository.kln.ac.lk/handle/123456789/25352
Appears in Collections:Smart Computing and Systems Engineering - 2021 (SCSE 2021)

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