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Predicting the directional change in consumer sentiment

Author

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  • Juan Yao
  • Graham Partington
  • Max Stevenson

Abstract

The Consumer Sentiment Index (CSI) is a widely monitored economic indicator. The index measures consumer expectations, which contain information about potential future changes in consumer spending. Thus, any change in the dynamics of the sentiment index should contain important signals about future consumer behaviour, as well as changes in the real economy and stock returns. In this paper we use Cox’s proportional hazards model to estimate dynamic transition probabilities for a reversal in the CSI. We predict the probability of both positive and negative runs in sentiment surviving in the same state. Lagged changes in consumer sentiment and the frequency of recent reversals of sentiment are found to be significant predictors of a change in state. The model has substantial predictive ability, as measured by both categorical accuracy and a probability scoring rule, the Brier Score (Brier, 1950) out of sample. The predictive accuracy of the model is robust to the impact of the global financial crisis.

Suggested Citation

  • Juan Yao & Graham Partington & Max Stevenson, 2013. "Predicting the directional change in consumer sentiment," Australian Journal of Management, Australian School of Business, vol. 38(1), pages 67-80, April.
    • Handle: RePEc:sae:ausman:v:38:y:2013:i:1:p:67-80
    DOI: 10.1177/0312896211434573
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    References listed on IDEAS

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    1. Garner, C. Alan, 1981. "Economic determinants of consumer sentiment," Journal of Business Research, Elsevier, vol. 9(2), pages 205-220, June.
    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. Jason Bram & Sydney C. Ludvigson, 1998. "Does consumer confidence forecast household expenditure? a sentiment index horse race," Economic Policy Review, Federal Reserve Bank of New York, vol. 4(Jun), pages 59-78.
    4. James A Wilcox, 2007. "Forecasting Components of Consumption with Components of Consumer Sentiment," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 42(4), pages 22-32, October.
    5. E. Philip Howrey, 2001. "The Predictive Power of the Index of Consumer Sentiment," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 32(1), pages 175-216.
    6. Abeele, P. Vanden, 1983. "The index of consumer sentiment: Predictability and predictive power in the EEC," Journal of Economic Psychology, Elsevier, vol. 3(1), pages 1-17.
    7. Bos, Theodore & Anderson, Seth, 1988. "Consumer sentiments and share price behavior," Journal of Behavioral Economics, Elsevier, vol. 17(2), pages 113-118.
    8. Swaminathan, Bhaskaran, 1996. "Time-Varying Expected Small Firm Returns and Closed-End Fund Discounts," Review of Financial Studies, Society for Financial Studies, vol. 9(3), pages 845-887.
    9. Graham Partington & Max Stevenson, 2001. "The probability and timing of price reversals in the property market," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 22(7), pages 389-398.
    10. Brown, Gregory W. & Cliff, Michael T., 2004. "Investor sentiment and the near-term stock market," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 1-27, January.
    11. Jansen, W. Jos & Nahuis, Niek J., 2003. "The stock market and consumer confidence: European evidence," Economics Letters, Elsevier, vol. 79(1), pages 89-98, April.
    12. Akhtar, Shumi & Faff, Robert & Oliver, Barry & Subrahmanyam, Avanidhar, 2011. "The power of bad: The negativity bias in Australian consumer sentiment announcements on stock returns," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1239-1249, May.
    13. Kalotay, Egon & Gray, Philip & Sin, Samantha, 2007. "Consumer expectations and short-horizon return predictability," Journal of Banking & Finance, Elsevier, vol. 31(10), pages 3102-3124, October.
    14. Juan Yao & Graham Partington & Max Stevenson, 2005. "Run length and the predictability of stock price reversals," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 45(4), pages 653-671, December.
    15. Richard Curtin, 2007. "Consumer Sentiment Surveys: Worldwide Review and Assessment," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2007(1), pages 7-42.
    16. Michael Lemmon & Evgenia Portniaguina, 2006. "Consumer Confidence and Asset Prices: Some Empirical Evidence," Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1499-1529.
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