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Recession Prediction Using Yield Curve and Stock Market Liquidity Deviation Measures

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  • Oral Erdogan
  • Paul Bennett
  • Cenktan Ozyildirim

Abstract

This article extends the benchmark Estrella and Hardouvelis term spread approach to recession forecasting by including the stock market macro liquidity deviation factor. We use a probit framework to predict recessions, as defined by the NBER between 1959Q1 and 2011Q4. We find that combining the yield curve parameter with the stock market liquidity deviation significantly improves our ability to predict the onset of a US recession, based both on in-sample and out-of-sample tests. In addition, changes in stock market depth further increase the accuracy of the model. We suggest that economic forecasters and those charged with conducting economic stabilization policy more generally would benefit from monitoring not only the yield curve but also stock market depth and liquidity, and their deviation from one another.

Suggested Citation

  • Oral Erdogan & Paul Bennett & Cenktan Ozyildirim, 2015. "Recession Prediction Using Yield Curve and Stock Market Liquidity Deviation Measures," Review of Finance, European Finance Association, vol. 19(1), pages 407-422.
  • Handle: RePEc:oup:revfin:v:19:y:2015:i:1:p:407-422.
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    File URL: http://hdl.handle.net/10.1093/rof/rft060
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    References listed on IDEAS

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    6. Balcilar, Mehmet & Gupta, Rangan & Wohar, Mark E., 2017. "Common cycles and common trends in the stock and oil markets: Evidence from more than 150years of data," Energy Economics, Elsevier, vol. 61(C), pages 72-86.
    7. Goodness C. Aye & Christina Christou & Luis A. Gil‐Alana & Rangan Gupta, 2019. "Forecasting the Probability of Recessions in South Africa: the Role of Decomposed Term Spread and Economic Policy Uncertainty," Journal of International Development, John Wiley & Sons, Ltd., vol. 31(1), pages 101-116, January.
    8. Umar, Zaghum & Yousaf, Imran & Aharon, David Y., 2021. "The relationship between yield curve components and equity sectorial indices: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    9. Yutaka KURIHARA, 2017. "Monetary Policy and Stock/Foreign Exchange Market Liquidity: The Japanese Case," Journal of Economics Library, KSP Journals, vol. 4(1), pages 1-8, March.
    10. Hasse, Jean-Baptiste & Lajaunie, Quentin, 2022. "Does the yield curve signal recessions? New evidence from an international panel data analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 9-22.
    11. Wang, Wenzhao & Su, Chen & Duxbury, Darren, 2021. "Investor sentiment and stock returns: Global evidence," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 365-391.
    12. Jean-Baptiste Hasse & Quentin Lajaunie, 2020. "Does the Yield Curve Signal Recessions? New Evidence from an International Panel Data Analysis," AMSE Working Papers 2013, Aix-Marseille School of Economics, France.
    13. Mei-Chih Wang & Pao-Lan Kuo & Chan-Sheng Chen & Chien-Liang Chiu & Tsangyao Chang, 2020. "Yield Spread and Economic Policy Uncertainty: Evidence from Japan," Sustainability, MDPI, vol. 12(10), pages 1-14, May.
    14. Wang, Wenzhao & Su, Chen & Duxbury, Darren, 2022. "The conditional impact of investor sentiment in global stock markets: A two-channel examination," Journal of Banking & Finance, Elsevier, vol. 138(C).
    15. Chen Shiu-Sheng & Chou Yu-Hsi & Yen Chia-Yi, 2016. "Predicting US recessions with stock market illiquidity," The B.E. Journal of Macroeconomics, De Gruyter, vol. 16(1), pages 93-123, January.
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