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On stock market illiquidity and real-time GDP growth

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  • Florackis, Chris
  • Giorgioni, Gianluigi
  • Kostakis, Alexandros
  • Milas, Costas

Abstract

This study examines whether stock market illiquidity forecasts real UK GDP growth using data over the period 1989q1-2012q2. Apart from standard linear model specifications, we also utilize non-linear models, which allow for regime switching behavior in terms of a liquid versus an illiquid market regime and over the phases of the business cycle. Our findings support a statistically significant negative relationship between stock market illiquidity and future UK GDP growth over and above the usual control variables. This relationship is found to be stronger during periods of highly illiquid market conditions and weak economic growth. Our out-of-sample forecasting analysis indicates that a regime-switching model of illiquid versus liquid market conditions predicts UK growth better than any other model. Actually, this model is the only one to significantly outperform the GDP growth forecasts published in the Bank of England's Inflation Report.

Suggested Citation

  • Florackis, Chris & Giorgioni, Gianluigi & Kostakis, Alexandros & Milas, Costas, 2014. "On stock market illiquidity and real-time GDP growth," Journal of International Money and Finance, Elsevier, vol. 44(C), pages 210-229.
  • Handle: RePEc:eee:jimfin:v:44:y:2014:i:c:p:210-229
    DOI: 10.1016/j.jimonfin.2014.02.006
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    as
    1. Acharya, Viral V. & Pedersen, Lasse Heje, 2005. "Asset pricing with liquidity risk," Journal of Financial Economics, Elsevier, vol. 77(2), pages 375-410, August.
    2. Adriano A Rampini & S Viswanathan, 2019. "Financial Intermediary Capital," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(1), pages 413-455.
    3. Menzie Chinn & Kavan Kucko, 2015. "The Predictive Power of the Yield Curve Across Countries and Time," International Finance, Wiley Blackwell, vol. 18(2), pages 129-156, June.
    4. Darrat, Ali F. & Chopin, Marc C. & Lobo, Bento J., 2005. "Money and macroeconomic performance: revisiting divisia money," Review of Financial Economics, Elsevier, vol. 14(2), pages 93-101.
    5. Hamilton, James D., 1996. "This is what happened to the oil price-macroeconomy relationship," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 215-220, October.
    6. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    7. Markus K. Brunnermeier & Lasse Heje Pedersen, 2009. "Market Liquidity and Funding Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2201-2238, June.
    8. Raffaella Giacomini & Halbert White, 2006. "Tests of Conditional Predictive Ability," Econometrica, Econometric Society, vol. 74(6), pages 1545-1578, November.
    9. Clark, Todd E. & McCracken, Michael W., 2001. "Tests of equal forecast accuracy and encompassing for nested models," Journal of Econometrics, Elsevier, vol. 105(1), pages 85-110, November.
    10. Alquist, Ron & Kilian, Lutz & Vigfusson, Robert J., 2013. "Forecasting the Price of Oil," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 427-507, Elsevier.
    11. West, Kenneth D, 1996. "Asymptotic Inference about Predictive Ability," Econometrica, Econometric Society, vol. 64(5), pages 1067-1084, September.
    12. Levine, Ross & Zervos, Sara, 1998. "Stock Markets, Banks, and Economic Growth," American Economic Review, American Economic Association, vol. 88(3), pages 537-558, June.
    13. Christopher Martin & Costas Milas, 2012. "Quantitative easing: a sceptical survey," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 28(4), pages 750-764, WINTER.
    14. Francesco Ravazzolo & Philip Rothman, 2013. "Oil and U.S. GDP: A Real-Time Out-of-Sample Examination," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(2-3), pages 449-463, March.
    15. Claudio Borio, 2008. "The financial turmoil of 2007-?: a preliminary assessment and some policy considerations," BIS Working Papers 251, Bank for International Settlements.
    16. Kapetanios, George & Labhard, Vincent & Price, Simon, 2008. "Forecast combination and the Bank of England's suite of statistical forecasting models," Economic Modelling, Elsevier, vol. 25(4), pages 772-792, July.
    17. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    18. repec:mcb:jmoncb:v:45:y:2013:i::p:449-463 is not listed on IDEAS
    19. Randi Næs & Johannes A. Skjeltorp & Bernt Arne Ødegard, 2008. "Liquidity and the business cycle," Working Paper 2008/11, Norges Bank.
    20. Joyce, Michael & Tong, Matthew & Woods, Robert, 2011. "The United Kingdom’s quantitative easing policy: design, operation and impact," Bank of England Quarterly Bulletin, Bank of England, vol. 51(3), pages 200-212.
    21. Eric S. Rosengren, 2010. "The Impact of Liquidity, Securitization, and Banks on the Real Economy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(s1), pages 221-228, September.
    22. West, Kenneth D & McCracken, Michael W, 1998. "Regression-Based Tests of Predictive Ability," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 817-840, November.
    23. Christiane Baumeister & Lutz Kilian, 2011. "Real-Time Forecasts of the Real Price of Oil," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 326-336, September.
    24. Tobias Adrian & Hyun Song Shin, 2008. "Liquidity, monetary policy, and financial cycles," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 14(Jan).
    25. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
    26. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    27. Hamilton, James D., 2003. "What is an oil shock?," Journal of Econometrics, Elsevier, vol. 113(2), pages 363-398, April.
    28. Fabio Fornari & Antonio Mele, 2013. "Financial Volatility and Economic Activity," Journal of Financial Management, Markets and Institutions, Società editrice il Mulino, issue 2, pages 155-198, December.
    29. Terasvirta, Timo & van Dijk, Dick & Medeiros, Marcelo C., 2005. "Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination," International Journal of Forecasting, Elsevier, vol. 21(4), pages 755-774.
    30. Garratt, Anthony & Koop, Gary & Mise, Emi & Vahey, Shaun P., 2009. "Real-Time Prediction With U.K. Monetary Aggregates in the Presence of Model Uncertainty," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 480-491.
    31. Tobias Adrian & Hyun Song Shin, 2008. "Liquidity and financial cycles," BIS Working Papers 256, Bank for International Settlements.
    32. Dick van Dijk & Philip Hans Franses, 2003. "Selecting a Nonlinear Time Series Model using Weighted Tests of Equal Forecast Accuracy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(s1), pages 727-744, December.
    33. Denis Gromb & Dimitri Vayanos, 2010. "A Model of Financial Market Liquidity Based on Intermediary Capital," Journal of the European Economic Association, MIT Press, vol. 8(2-3), pages 456-466, 04-05.
    34. Olivier Blanchard & Giovanni Dell’Ariccia & Paolo Mauro, 2010. "Rethinking Macroeconomic Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(s1), pages 199-215, September.
    35. Zaher, Fadi, 2007. "Evaluating factor forecasts for the UK: The role of asset prices," International Journal of Forecasting, Elsevier, vol. 23(4), pages 679-693.
    36. West, Kenneth D, 2001. "Tests for Forecast Encompassing When Forecasts Depend on Estimated Regression Parameters," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 29-33, January.
    37. Allaudeen Hameed & Wenjin Kang & S. Viswanathan, 2010. "Stock Market Declines and Liquidity," Journal of Finance, American Finance Association, vol. 65(1), pages 257-293, February.
    38. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    39. Arturo Estrella, 2005. "Why Does the Yield Curve Predict Output and Inflation?," Economic Journal, Royal Economic Society, vol. 115(505), pages 722-744, July.
    40. Florackis, Chris & Gregoriou, Andros & Kostakis, Alexandros, 2011. "Trading frequency and asset pricing on the London Stock Exchange: Evidence from a new price impact ratio," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3335-3350.
    41. Levine, Ross, 1991. "Stock Markets, Growth, and Tax Policy," Journal of Finance, American Finance Association, vol. 46(4), pages 1445-1465, September.
    42. Mc Cracken, Michael W., 2000. "Robust out-of-sample inference," Journal of Econometrics, Elsevier, vol. 99(2), pages 195-223, December.
    43. Estrella, Arturo & Hardouvelis, Gikas A, 1991. "The Term Structure as a Predictor of Real Economic Activity," Journal of Finance, American Finance Association, vol. 46(2), pages 555-576, June.
    44. Paolo Angelini & Andrea Nobili & Cristina Picillo, 2011. "The Interbank Market after August 2007: What Has Changed, and Why?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(5), pages 923-958, August.
    45. Randi Næs & Johannes A. Skjeltorp & Bernt Arne Ødegaard, 2011. "Stock Market Liquidity and the Business Cycle," Journal of Finance, American Finance Association, vol. 66(1), pages 139-176, February.
    46. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
    47. Viral V. Acharya & Hyun Song Shin & Tanju Yorulmazer, 2011. "Crisis Resolution and Bank Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 24(6), pages 2166-2205.
    48. Goyenko, Ruslan Y. & Holden, Craig W. & Trzcinka, Charles A., 2009. "Do liquidity measures measure liquidity?," Journal of Financial Economics, Elsevier, vol. 92(2), pages 153-181, May.
    49. Olivier Blanchard & Giovanni Dell'Ariccia & Paolo Mauro, 2010. "Rethinking Macroeconomic Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(s1), pages 199-215, September.
    50. Bridges, Jonathan & Thomas, Ryland, 2012. "The impact of QE on the UK economy – some supportive monetarist arithmetic," Bank of England working papers 442, Bank of England.
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    More about this item

    Keywords

    G12; C32; C51; C52; Stock market illiquidity; Divisia money; GDP growth; Non-linear model; Real-time data;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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