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Analyzing the Influence of Headline News on Credit Markets in Japan

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Innovative Approaches in Agent-Based Modelling and Business Intelligence

Part of the book series: Agent-Based Social Systems ((ABSS,volume 12))

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Abstract

This paper analyzes the influence of text information on credit markets in Japan, focusing on headline news, a source of information that has immediate influence on the money market and also which is regarded as an important source of information when making investment decisions. In this research, we employ an automatic text classification algorithm in order to classify the headline news into several categories. As a result of intensive analysis, we made the following findings (Antweiler W, Frank MZ J Financ 59:1259–1294, 2004): it is possible to build a headline news algorithm to an accuracy of 80% (Ben-Saud T Adopting a liability-led strategy. Pension management, April, pp 34–35, 2005); headline news has an influence on corporate bond spreads in Japan after items of news become public (Black F, Cox J J Financ, 31:351–367, 1976). The reaction of CDS spread is different from that of corporate bond spread even though both spreads relate to credit risk. These results are suggestive from both academic and practical viewpoints.

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Notes

  1. 1.

    For example, liability-driven investments (LDI) have drawn attention in the practical pension fund business (Ben-Saud 2005).

  2. 2.

    Default risk is the key factor in their values and variations.

  3. 3.

    In this analysis, first, we estimate JGB yield curve and then apply it to establish estimation of spreads.

  4. 4.

    We put these conditions for the following reasons (Antweiler and Frank 2004): corporate bonds with maturity from 3 years to 5 years have the largest in number (Ben-Saud 2005), and it is necessary to analyze bonds with similar maturity in order to get rid of the influence of maturity in analyses, because changes in spreads are different according to maturity.

  5. 5.

    Itraxx Japan produced the spread data; we use it for analyses as it is.

  6. 6.

    Similar tendencies are observed in analyses of the stock market. The reaction of the CDS market is similar to that of the stock market.

  7. 7.

    Further research on companies with high credit rating is planned for the future.

  8. 8.

    As for stock, we calculate excess return by subtracting average return from stock return of the target company in order to remove the influence of market movement as a whole.

  9. 9.

    As for corporate bond and CDS, an excess return is calculated as follows: duration × spread change. We set the duration of corporate bonds at 4 years and the duration of CDS at 5 years which reflects the actual mean duration of each market.

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Correspondence to Yasuo Yamashita .

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Jotaki, H., Yamashita, Y., Takahashi, S., Takahashi, H. (2018). Analyzing the Influence of Headline News on Credit Markets in Japan. In: Kurahashi, S., Takahashi, H. (eds) Innovative Approaches in Agent-Based Modelling and Business Intelligence. Agent-Based Social Systems, vol 12. Springer, Singapore. https://doi.org/10.1007/978-981-13-1849-8_7

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  • DOI: https://doi.org/10.1007/978-981-13-1849-8_7

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  • Print ISBN: 978-981-13-1848-1

  • Online ISBN: 978-981-13-1849-8

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