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A new turning point signalling system using the Markov switching model with application to Japan, the USA and Australia

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  • Allan Layton
  • Masaki Katsuura

Abstract

A new business cycle turning point signalling system is proposed and examined by using Japanese, US and Australian composite indexes of economic activity. Time varying transition probabilities in a Markov regime-switching model are used as the basis of the signalling system. The performance of the system is satisfactory, though its reliability varies between peaks and troughs and across countries. Based on data up until May 1998, the system suggests the absence of turning points in any of the three countries in 1998.

Suggested Citation

  • Allan Layton & Masaki Katsuura, 2001. "A new turning point signalling system using the Markov switching model with application to Japan, the USA and Australia," Applied Economics, Taylor & Francis Journals, vol. 33(1), pages 59-70.
    • Handle: RePEc:taf:applec:v:33:y:2001:i:1:p:59-70
    DOI: 10.1080/00036840121698
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    References listed on IDEAS

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    1. James H. Stock & Mark W. Watson, 1993. "Introduction to "Business Cycles, Indicators and Forecasting"," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 1-10, National Bureau of Economic Research, Inc.
    2. Gerhard Bry & Charlotte Boschan, 1971. "Foreword to "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs"," NBER Chapters, in: Cyclical Analysis of Time Series: Selected Procedures and Computer Programs, pages -1, National Bureau of Economic Research, Inc.
    3. James H. Stock & Mark W. Watson, 1993. "Business Cycles, Indicators, and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number stoc93-1, March.
    4. Gerhard Bry & Charlotte Boschan, 1971. "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs," NBER Books, National Bureau of Economic Research, Inc, number bry_71-1, March.
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    Cited by:

    1. Milan Christian Wet & Ilse Botha, 2022. "Constructing and Characterising the Aggregate South African Financial Cycle: A Markov Regime-Switching Approach," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(1), pages 37-67, March.
    2. Milan Christian de Wet, 2021. "Modelling the Australasian Financial Cycle: A Markov-Regime Switching Approach," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 14(1), pages 69-79, June.
    3. Masaki Katsuura, 2012. "Lead–lag relationship between household cultural expenditures and business cycles," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(1), pages 49-65, February.
    4. Bock, David & Andersson, Eva & Frisén, Marianne, 2007. "Similarities and differences between statistical surveillance and certain decision rules in finance," Research Reports 2007:8, University of Gothenburg, Statistical Research Unit, School of Business, Economics and Law.

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