Chung Yuan Christian University
In global open economy, the study of currency exchange rates prediction with acceptable accuracy under floating exchange rates environment becomes an important issue. Exchange rates can affect a large number of economic decision-makings and participants' behaviors. Due to the rapid dynamic data changes and increasing large amount of data, accurate and effective currency exchange rates prediction is a rather challenging task. In this paper, the authors proposed a novel cloud computing approach to do linear regression prediction for dynamic currency exchange rates. They adopt an Intelligent Exchange Rates Prediction System (IERPS) based on cloud computing to collect real-time exchange rates information and predict the future exchange rates in efficient computing time.