Forecasting Malaysian ringgit using exponential smoothing techniques / Noreha Mohamed Yusof ... [et al.]

Forecasting the foreign currency exchange is a challenging task since it is influenced by political, economic and psychological factors. This paper focuses on the forecasting Malaysian Ringgit (MYR) exchange rate against the United States Dollar (USD) using Exponential Smoothing Techniques which are...

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Bibliographic Details
Main Authors: Mohamed Yusof, Noreha (Author), Amit, Norani (Author), Mahad, Nor Faradilah (Author), Mohd Yusop, Noorezatty (Author)
Format: Book
Published: UiTM Cawangan Perlis, 2021.
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042 |a dc 
100 1 0 |a Mohamed Yusof, Noreha  |e author 
700 1 0 |a Amit, Norani  |e author 
700 1 0 |a Mahad, Nor Faradilah  |e author 
700 1 0 |a Mohd Yusop, Noorezatty  |e author 
245 0 0 |a Forecasting Malaysian ringgit using exponential smoothing techniques / Noreha Mohamed Yusof ... [et al.] 
260 |b UiTM Cawangan Perlis,   |c 2021. 
500 |a https://ir.uitm.edu.my/id/eprint/60008/1/60008.pdf 
520 |a Forecasting the foreign currency exchange is a challenging task since it is influenced by political, economic and psychological factors. This paper focuses on the forecasting Malaysian Ringgit (MYR) exchange rate against the United States Dollar (USD) using Exponential Smoothing Techniques which are Single Exponential Smoothing, Double Exponential Smoothing, and Holt's method. The objectives of this paper are to identify the best Exponential Smoothing Technique that describes MYR for 5 years period and to forecast MYR 12 months ahead by using the best Exponential Smoothing Technique. The comparison between these techniques is also made and the best one will be selected to forecast the MYR exchange rate against USD. The result showed that Holt's method has the smallest value of error measure which depending on the Mean Square Error (MSE) and Mean Absolute Percentage Error (MAPE) for the evaluation part. The MSE is 1.43915x10-14 and MAPE is 2.5413 x 10-6. Meanwhile, the forecast value of MYR in August 2019 is RM 4.30226. 
546 |a en 
690 |a Money market 
690 |a Time-series analysis 
655 7 |a Article  |2 local 
655 7 |a PeerReviewed  |2 local 
787 0 |n https://ir.uitm.edu.my/id/eprint/60008/ 
787 0 |n https://crinn.conferencehunter.com/ 
856 4 1 |u https://ir.uitm.edu.my/id/eprint/60008/  |z Link Metadata