論文

査読有り 本文へのリンクあり 国際誌
2020年5月31日

Japanese interest rate forecast considering the linkage of global markets using machine learning methods

International Journal of Smart Computing and Artificial Intelligence
  • Yoshiyuki Suimon
  • ,
  • Hiroki Sakaji
  • ,
  • Kiyoshi Izumi
  • ,
  • Takashi Shimada
  • ,
  • Hiroyasu Matsushima

4
1
開始ページ
1
終了ページ
17
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.52731/ijscai.v4.i1.500
出版者・発行元
International Institute of Applied Informatics

In recent years, overseas financial system crises (e.g., Lehman shock and European debt crisis) and the effects of monetary policy changes by US and European central banks exerted major influence on the Japanese interest rates market. In this research, we developed a forecasting model of Japanese interest rate based on a variety of machine learning methods, by considering the information obtained from overseas rates markets and currency markets. Finally, we confirmed that the prediction accuracy of Japanese long-term interest rate improved by using the US interest rates data in addition to the Japanese interest rates data for machine learning. Furthermore, we confirmed that the prediction accuracy increased by using US and Japanese rates markets data in recent years, particularly after 2006. This result suggests that information of overseas interest rates can be used to forecast Japanese rates market nowadays.

リンク情報
DOI
https://doi.org/10.52731/ijscai.v4.i1.500
URL
http://www.iaiai.org/journals/index.php/IJSCAI/article/view/500
URL
http://www.iaiai.org/journals/index.php/IJSCAI/article/view/500/405 本文へのリンクあり
ID情報
  • DOI : 10.52731/ijscai.v4.i1.500
  • ISSN : 2185-9906
  • eISSN : 2185-9914

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