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TURKISH LIRA EXCHANGE RATE FORECASTING USING TIME SERIES MODELS

Year 2020, Volume: 6 Issue: 16, 294 - 300, 10.09.2020
https://doi.org/10.18769/ijasos.616040

Abstract

Financial markets in any country in the world are one of the most important pillars of the economy. The global financial crisis and the current economic and political situation have impacted the regional and international financial markets. To deal with such financial crises in the business markets, a model is essential to describe and address these phenomena which consider variations over time and characterize a suitable and effective model. The aim of this research is to construct a mathematical model for the time series of the Turkish lira compared to the US Dollar by the ARIMA model and to predict the next period ,and to measure the accuracy and efficiency of the model of prediction adopted using statistical error criteria.

References

  • Rout, Minakhi, Babita Majhi, Ritanjali Majhi, and Ganapati Panda. 2014. “Forecasting of Currency Exchange Rates Using an Adaptive ARMA Model with Differential Evolution Based Training.” Journal of King Saud University-Computer and Information Sciences 26(1): 7–18.
Year 2020, Volume: 6 Issue: 16, 294 - 300, 10.09.2020
https://doi.org/10.18769/ijasos.616040

Abstract

References

  • Rout, Minakhi, Babita Majhi, Ritanjali Majhi, and Ganapati Panda. 2014. “Forecasting of Currency Exchange Rates Using an Adaptive ARMA Model with Differential Evolution Based Training.” Journal of King Saud University-Computer and Information Sciences 26(1): 7–18.
There are 1 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Marwan Abdul Hameed Ashour

Iman A.h. Al-dahhan

Publication Date September 10, 2020
Submission Date April 14, 2020
Published in Issue Year 2020Volume: 6 Issue: 16

Cite

EndNote Ashour MAH, Al-dahhan IA (September 1, 2020) TURKISH LIRA EXCHANGE RATE FORECASTING USING TIME SERIES MODELS. IJASOS- International E-journal of Advances in Social Sciences 6 16 294–300.

Cited By

Forecasting with ARMA models
International Journal of Research in Business and Social Science (2147- 4478)
https://doi.org/10.20525/ijrbs.v10i1.1005

Contact: ijasosjournal@hotmail.com

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