Big data analysis of foreign exchange rates among Japan, South Korea and Taiwan. (2017)

• Record Type: Journal Article
• Authors: Lee, Yao-Hsien; Wang, Yi-Hsien; Lee, Mei-Yu
• Is Part Of: International journal of computational economics and econometrics. Volume 7:Number 4(2017)
• Page Start: 399
• Page End: 410
• Publication Date: 2017
• Subjects: foreign exchange rates -- big data -- probability distribution; Econometrics -- Periodicals; Economics -- Data processing -- Periodicals; 330.01519505
• Languages: English
• ISSNs: 1757-1170

Abstract

This paper models foreign exchange rates among the Japanese yen (JPY), the South Korean won (KRW) and the Taiwan dollar (TWD). We select open data from the CMoney database that total 17, 349 data points and use big data analysis to establish the probability distributions of foreign exchange rates of three countries. The first finding is that the TWD rate is more stable than the JPY rate and the KRW rate, and it is fixed a specific rate with 39.83% probability. The second finding is that the effect of the JPY rate on the TWD rate is not equivalent to the effect of the KRW rate.