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Are consumer sentiments useful in Japan? An application of a new market-timing test

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  • Y. Tsuchiya
Abstract
We investigate whether consumer sentiment in Japan is a useful predictor of household consumption, durable goods consumption and the CPI using a recently developed market-timing test. We find that consumer sentiment is not useful for predicting an increase/decrease in household consumption, durable goods consumption, and CPI. The findings suggest that policy-makers may have difficulties obtaining useful qualitative information from consumers. However, using estimated threshold values for the increase/decrease, consumer sentiment became a useful predictor of durable goods consumption and CPI. This suggests that estimating relevant thresholds could enhance the use of directional analysis.

Suggested Citation

  • Y. Tsuchiya, 2014. "Are consumer sentiments useful in Japan? An application of a new market-timing test," Applied Economics Letters, Taylor & Francis Journals, vol. 21(5), pages 356-359, March.
  • Handle: RePEc:taf:apeclt:v:21:y:2014:i:5:p:356-359
    DOI: 10.1080/13504851.2013.861578
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    References listed on IDEAS

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    1. Tsuchiya, Yoichi, 2013. "Do corporate executives have accurate predictions for the economy? A directional analysis," Economic Modelling, Elsevier, vol. 30(C), pages 167-174.
    2. Easaw, Joshy Z. & Garratt, Dean & Heravi, Saeed M., 2005. "Does consumer sentiment accurately forecast UK household consumption? Are there any comparisons to be made with the US?," Journal of Macroeconomics, Elsevier, vol. 27(3), pages 517-532, September.
    3. Jody Overland & Christopher D. Carroll & David N. Weil, 2000. "Saving and Growth with Habit Formation," American Economic Review, American Economic Association, vol. 90(3), pages 341-355, June.
    4. Madsen, Jakob B. & Mcaleer, Michael, 2000. "Direct Tests of the Permanent Income Hypothesis under Uncertainty, Inflationary Expectations and Liquidity Constraints," Journal of Macroeconomics, Elsevier, vol. 22(2), pages 229-252, April.
    5. Pesaran, M Hashem & Timmermann, Allan, 1992. "A Simple Nonparametric Test of Predictive Performance," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 561-565, October.
    6. Graham Elliott & Allan Timmermann, 2016. "Economic Forecasting," Economics Books, Princeton University Press, edition 1, number 10740.
    7. Easaw, Joshy Z. & Heravi, Saeed M., 2004. "Evaluating consumer sentiments as predictors of UK household consumption behavior: Are they accurate and useful?," International Journal of Forecasting, Elsevier, vol. 20(4), pages 671-681.
    8. Tara Sinclair & H. O. Stekler & L. Kitzinger, 2010. "Directional forecasts of GDP and inflation: a joint evaluation with an application to Federal Reserve predictions," Applied Economics, Taylor & Francis Journals, vol. 42(18), pages 2289-2297.
    9. Ash, J. C. K. & Smyth, D. J. & Heravi, S. M., 1998. "Are OECD forecasts rational and useful?: a directional analysis," International Journal of Forecasting, Elsevier, vol. 14(3), pages 381-391, September.
    10. Chou, Cheng & Chu, Chia-Shang J., 2011. "Market timing: Recent development and a new test," Economics Letters, Elsevier, vol. 111(2), pages 105-109, May.
    11. Pesaran, M. Hashem & Timmermann, Allan, 2009. "Testing Dependence Among Serially Correlated Multicategory Variables," Journal of the American Statistical Association, American Statistical Association, vol. 104(485), pages 325-337.
    12. Chu, Chia-Shang & Lu, Liping & Shi, Zhentao, 2009. "Pitfalls in market timing test," Economics Letters, Elsevier, vol. 103(3), pages 123-126, June.
    13. Ulrich Fritsche & Christian Pierdzioch & Jan-Christoph R�lke & Georg Stadtmann, 2013. "On the directional accuracy of survey forecasts: the case of gold and silver," Applied Economics Letters, Taylor & Francis Journals, vol. 20(12), pages 1127-1129, August.
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