Skip to main content

Topic Extraction Analysis for Monetary Policy Minutes of Japan in 2014

Effects of the Consumption Tax Hike in April

  • Conference paper
  • First Online:
Book cover Advances in Data Mining: Applications and Theoretical Aspects (ICDM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9165))

Included in the following conference series:

Abstract

In this paper, we will analyze monetary policy of the Bank of Japan, the central bank of Japan, just after the sales tax hike held in April 2014, through November 2014. The period matches the Japan’s turning point to the recession owing to the sales tax hike in April 2014. With the Abe second Cabinet which started in December 2012, the Bank set the “price stability target” at 2 percent. We analyzed the Monetary Policy Meeting minutes by text mining technologies. Especially we conducted a topic extraction using the Latent Dirichlet Allocation model from the Meeting minutes. The extracted topics clearly showed the impact of the sale tax hike. The biggest topic was the economic conditions related topic and its ratio peaks corresponded to the time of Japan’s GDP data released. In addition, we found that the money easing policy topic ratio increased after the tax hike and that the economic growth related topic ratio showed the decline after the tax hike.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    cited from http://www.esri.cao.go.jp/jp/sna/data/data_list/sokuhou/files/2014/qe143_2/pdf/gaiyou1432.pdf.

  2. 2.

    CRAN web page: http://cran.r-project.org/.

  3. 3.

    Cabinet Office, Government of Japan: Composite Indexes (2010 = 100) Coincident Index, CENT'CIDX10C, Indexes of Business Conditions November 2014 Preliminary Release (January 9, 2015).

References

  1. Lexicon, F.T.: Definition of Abenomics, 28 January 2014

    Google Scholar 

  2. BOJ: The Price Stability Target Under the Framework for the Conduct of Monetary Policy, 22 January 2013 and 10 November 2014. https://www.boj.or.jp/en/announcements/release_2013/k130122b.pdf

  3. Cabinet Office, Ministry of Finance, BOJ: Joint Statement of the Government and the Bank of Japan on Overcoming Deflation and Achieving Sustainable Economic Growth, 22 January 2013. https://www.boj.or.jp/en/announcements/release_2013/k130122c.pdf

  4. Research and Statistics Department, BOJ: Explanation of “Monetary Base Statistics”, May 2013. https://www.boj.or.jp/en/statistics/outline/exp/exbase.htm/

  5. Hansen, S., McMahon, M., Prat, A.: Transparency and deliberation within the FOMC: a computational linguistics approach. CEP Discussion Papers, CEPDP1276, Centre for Economic Performance, London School of Economics and Political Science, London, UK (2014)

    Google Scholar 

  6. Moniz, A., de Jong, F.: Predicting the impact of central bank communications on financial market investors’ interest rate expectations. In: Presutti, V., Blomqvist, E., Troncy, R., Sack, H., Papadakis, I., Tordai, A. (eds.) ESWC Satellite Events 2014. LNCS, vol. 8798, pp. 144–155. Springer, Heidelberg (2014)

    Google Scholar 

  7. Shirota, Y., Hashimoto, T., Sakura, T.: Extraction of the financial policy topics by latent dirichlet allocation. In: TENCON 2014-2014 IEEE Region 10 Conference, pp. 1–5 (2014)

    Google Scholar 

  8. Schumaker, R.P., Chen, H.: A discrete stock price prediction engine based on financial news. Computer 1, 51–56 (2010)

    Article  Google Scholar 

  9. Bollen, J., Mao, H., Zeng, X.: Twitter mood predicts the stock market. J. Comput. Sci. 2(1), 1–8 (2011)

    Article  Google Scholar 

  10. BOJ: Price Stability Target of 2 Percent and “Quantitative and Qualitative Monetary Easing”, 10 November 2014. https://www.boj.or.jp/en/mopo/outline/qqe.htm/

  11. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)

    MATH  Google Scholar 

  12. Griffiths, T.L., Steyvers, M.: Finding scientific topics. Proc. Natl. Acad. Sci. 101(Suppl. 1), 5228–5235 (2004)

    Article  Google Scholar 

  13. R Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria (2013). ISBN 3-900051-07-0, http://www.R-project.org/

  14. Bloomberg: Japan’s economy takes a dive as Abe weighs delay of second tax hike. In: The Japan Times, 18 November 2014

    Google Scholar 

  15. Cabinet Office, GOJ: 14 January 2015. http://www.esri.cao.go.jp/jp/stat/di/di.html

  16. Kuboyama, T., Hashimoto, T., Shirota, Y.: Consumer behavior analysis from buzz marketing sites over time series concept graphs. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds.) KES 2011, Part II. LNCS, vol. 6882, pp. 73–83. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

Download references

Acknowledgment

We thank Hirohiko Okumura, an emeritus professor of Gakushuin University for thoughtful comments that improved this paper. We thank Prof Tetsuji Kuboyama for his wide range of knowledge about machine learning that helps our research. This research was partly supported by funds from Gakushuin University Computing Centre as its special research project in 2014.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yukari Shirota .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Shirota, Y., Hashimoto, T., Sakura, T. (2015). Topic Extraction Analysis for Monetary Policy Minutes of Japan in 2014. In: Perner, P. (eds) Advances in Data Mining: Applications and Theoretical Aspects. ICDM 2015. Lecture Notes in Computer Science(), vol 9165. Springer, Cham. https://doi.org/10.1007/978-3-319-20910-4_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-20910-4_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20909-8

  • Online ISBN: 978-3-319-20910-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics