利用机器学习方法考虑全球市场联动的日本利率预测

Yoshiyuki Suimon, Hiroki Sakaji, K. Izumi, T. Shimada, Hiroyasu Matsushima
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引用次数: 1

摘要

近年来,海外金融体系危机(如雷曼冲击和欧债危机)以及美欧央行货币政策变化的影响对日本利率市场产生了重大影响。在本研究中,我们考虑了从海外利率市场和货币市场获得的信息,开发了基于多种机器学习方法的日本利率预测模型。最后,我们证实,除了使用日本利率数据进行机器学习外,还使用美国利率数据提高了日本长期利率的预测精度。此外,我们证实,近年来,特别是在2006年之后,使用美国和日本的利率市场数据,预测的准确性有所提高。这一结果表明,海外利率信息可以用来预测目前的日本利率市场。
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Japanese Interest Rate Forecast Considering the Linkage of Global Markets Using Machine Learning Methods
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.
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