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The Japanese economy in crises: A time series segmentation study

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  • Cheong, Siew Ann
  • Fornia, Robert Paulo
  • Lee, Gladys Hui Ting
  • Kok, Jun Liang
  • Yim, Woei Shyr
  • Xu, Danny Yuan
  • Zhang, Yiting

Abstract

The authors performed a comprehensive time series segmentation study on the 36 Nikkei Japanese industry indices from 1 January 1996 to 11 June 2010. From the temporal distributions of the clustered segments, we found that the Japanese economy never fully recovered from the extended 1997-2003 crisis, and responded to the most recent global financial crisis in five stages. Of these, the second and main stage affecting 21 industries lasted only 27 days, in contrast to the two-and-a-half-years-across-the-board recovery from the 1997-2003 financial crisis. We constructed the minimum spanning trees (MSTs) to visualize the Pearson cross correlations between Japanese industries over five macroeconomic periods: (i) 19971999 (Asian Financial Crisis), (ii) 20002002 (Technology Bubble Crisis), (iii) 20032006 (economic growth), (iv) 20072008 (Subprime Crisis), and (v) 20082010 (Lehman Brothers Crisis). In these MSTs, the Chemicals and Electric Machinery industries are consistently hubs. Finally, we present evidence from the segment-to-segment MSTs for flights to quality within the Japanese stock market

Suggested Citation

  • Cheong, Siew Ann & Fornia, Robert Paulo & Lee, Gladys Hui Ting & Kok, Jun Liang & Yim, Woei Shyr & Xu, Danny Yuan & Zhang, Yiting, 2012. "The Japanese economy in crises: A time series segmentation study," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-81.
  • Handle: RePEc:zbw:ifweej:20125
    DOI: 10.5018/economics-ejournal.ja.2012-5
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    4. Xia, Jianan & Shang, Pengjian & Lu, Dan & Yin, Yi, 2016. "A comprehensive segmentation analysis of crude oil market based on time irreversibility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 104-114.
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    6. Aki-Hiro Sato, 2012. "Segmentation analysis on a multivariate time series of the foreign exchange rates," Papers 1205.0336, arXiv.org.
    7. Wang, Haifeng & Shang, Pengjian & Xia, Jianan, 2016. "Compositional segmentation and complexity measurement in stock indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 67-73.

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    More about this item

    Keywords

    Japanese industries; macroeconomic cycle; financial crisis; economic recovery; financial time series; segmentation; clustering; cross correlations; minimal spanning tree;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

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