Studying the Influence of Tourism Flow on Foreign Exchange Rate by IABC and Time-Series Models

  • Pei-Wei Tsai
  • Zhi-Sheng Chen
  • Xingsi Xue
  • Jui-Fang ChangEmail author
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 81)


In this study, we focus on analysing the relationship between the foreign exchange rate and the international tourism flow. Three foreign exchange rate forecasting models including GARCH(1,1), EGARCH(1,1), and the IABC forecasting model based on the computational intelligence are employed to produce the forecasting results. The Mean Absolute Percentage Error (MAPE) is selected to be the evaluation criterion for comparing the forecasting results of these models. The experiments contain the USD/NTD foreign exchange rate and the inbound international tourism flows in years of 2009 to 2010. The experimental results reveal that adding the international tourism flow as the new reference in the forecasting process has the positive contribution to the foreign exchange rate forecasting results.


GARCH EGARCH IABC Rate forecasting Tourism flow 



This work is funded by the Key Project of Fujian Provincial Education Bureau (JA15323).


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Pei-Wei Tsai
    • 1
  • Zhi-Sheng Chen
    • 2
  • Xingsi Xue
    • 3
    • 4
  • Jui-Fang Chang
    • 2
    Email author
  1. 1.Department of Computer Science and Software EngineeringSwinburne University of TechnologyHawthornAustralia
  2. 2.Department of International BusinessNational Kaohsiung University of Applied SciencesKaohsiungTaiwan
  3. 3.College of Information Sciences and EngineeringFujian University of TechnologyFuzhouChina
  4. 4.Fujian Provincial Key Laboratory of Big Data Mining and ApplicationsFujian University of TechnologyFuzhouChina

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