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A New Composite Index of Coincident Economic Indicators in Japan: How can we improve the forecast performance?

Citations

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Cited by:

  1. Stefan Gerlach & Matthew S. Yiu, 2004. "A Dynamic Factor Model for Current-Quarter Estimates of Economic Activity in Hong Kong," Working Papers 162004, Hong Kong Institute for Monetary Research.
  2. Patrick M. Crowley & Tony Schildt, 2012. "An Analysis of the Embedded Frequency Content of Macroeconomic Indicators and their Counterparts using the Hilbert-Huang Transform," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(1), pages 1-31.
  3. Hansson, Jesper & Jansson, Per & Löf, Mårten, 2003. "Business Survey Data: Do They Help in Forecasting the Macro Economy?," Working Papers 84, National Institute of Economic Research.
  4. Shintani, Mototsugu, 2005. "Nonlinear Forecasting Analysis Using Diffusion Indexes: An Application to Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 517-538, June.
  5. Lota D. Tamini & Jean‐Philippe Gervais, 2005. "Developing Economic Indexes for the Quebec Hog/Pork Industry," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 53(1), pages 1-23, March.
  6. Okimoto, Tatsuyoshi & Takaoka, Sumiko, 2017. "The term structure of credit spreads and business cycle in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 45(C), pages 27-36.
  7. Shirly Siew-Ling Wong & Toh-Hao Tan & Shazali Abu Mansor & Venus Khim-Sen Liew, 2018. "Rethinking and Moving Beyond GDP: A New Measure of Sarawak Economy Panorama," International Business Research, Canadian Center of Science and Education, vol. 11(12), pages 127-133, December.
  8. Diego Bernardo Avanzini, 2009. "Designing Composite Entrepreneurship Indicators: An Application Using Consensus PCA," WIDER Working Paper Series RP2009-41, World Institute for Development Economic Research (UNU-WIDER).
  9. Alain N. Kabundi, 2004. "Estimation of Economic Growth in France Using Business Survey Data," IMF Working Papers 2004/069, International Monetary Fund.
  10. Mili, Mehdi & Sahut, Jean-Michel & Teulon, Frédéric, 2012. "Non linear and asymmetric linkages between real growth in the Euro area and global financial market conditions: New evidence," Economic Modelling, Elsevier, vol. 29(3), pages 734-741.
  11. repec:zbw:bofrdp:2009_033 is not listed on IDEAS
  12. Mapa, Dennis S. & Simbulan, Maria Christina, 2014. "Analyzing and Forecasting Movements of the Philippine Economy using the Dynamic Factor Models (DFM)," MPRA Paper 54478, University Library of Munich, Germany.
  13. Hansson, Jesper & Jansson, Per & Lof, Marten, 2005. "Business survey data: Do they help in forecasting GDP growth?," International Journal of Forecasting, Elsevier, vol. 21(2), pages 377-389.
  14. Maximo Camacho, 2004. "Vector smooth transition regression models for US GDP and the composite index of leading indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(3), pages 173-196.
  15. Jean-michel Sahut & Medhi Mili & Frédéric Teulon, 2012. "What is the linkage between real growth in the Euro area and global financial market conditions?," Economics Bulletin, AccessEcon, vol. 32(3), pages 2464-2480.
  16. Yoshihiro Ohtsuka, 2018. "Large Shocks and the Business Cycle: The Effect of Outlier Adjustments," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 143-178, April.
  17. repec:ecb:ecbwps:20111428 is not listed on IDEAS
  18. Tak-Kuen Siu & Wai-Ki Ching & Eric Fung & Michael Ng, 2007. "Extracting Information from Spot Interest Rates and Credit Ratings using Double Higher-Order Hidden Markov Models," Computational Economics, Springer;Society for Computational Economics, vol. 29(3), pages 425-425, May.
  19. Patrick M. Crowley & Tony Schildt, 2012. "An Analysis of the Embedded Frequency Content of Macroeconomic Indicators and their Counterparts using the Hilbert-Huang Transform," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(1), pages 1-31.
  20. Fildes, Robert & Bretschneider, Stuart & Collopy, Fred & Lawrence, Michael & Stewart, Doug & Winklhofer, Heidi & Mentzer, John T. & Moon, Mark A., 2003. "Researching Sales Forecasting Practice: Commentaries and authors' response on "Conducting a Sales Forecasting Audit" by M.A. Moon, J.T. Mentzer & C.D. Smith," International Journal of Forecasting, Elsevier, vol. 19(1), pages 27-42.
  21. Tomoyuki Yagi & Masako Takahashi, 2016. "Business cycle turning points based on DEA-discriminant analysis," Applied Economics, Taylor & Francis Journals, vol. 48(44), pages 4251-4256, September.
  22. Bragoli, Daniela, 2017. "Now-casting the Japanese economy," International Journal of Forecasting, Elsevier, vol. 33(2), pages 390-402.
  23. Lombardi, Marco J. & Godbout, Claudia, 2012. "Short-term forecasting of the Japanese economy using factor models," Working Paper Series 1428, European Central Bank.
  24. Chikamatsu, Kyosuke & Hirakata, Naohisa & Kido, Yosuke & Otaka, Kazuki, 2021. "Mixed-frequency approaches to nowcasting GDP: An application to Japan," Japan and the World Economy, Elsevier, vol. 57(C).
  25. Felipe, Jesus & Estrada, Gemma, 2020. "What happened to the world's potential growth after the 2008–2009 global financial crisis?," Journal of the Japanese and International Economies, Elsevier, vol. 56(C).
  26. Konstantin A., Kholodilin, 2003. "Identifying and Forecasting the Turns of the Japanese Business Cycle," LIDAM Discussion Papers IRES 2003008, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
  27. Megna, Robert & Xu, Qiang, 2003. "Forecasting the New York State economy: The coincident and leading indicators approach," International Journal of Forecasting, Elsevier, vol. 19(4), pages 701-713.
  28. Urasawa, Satoshi, 2014. "Real-time GDP forecasting for Japan: A dynamic factor model approach," Journal of the Japanese and International Economies, Elsevier, vol. 34(C), pages 116-134.
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