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Stock market cycles and supply side dynamics: two worlds, one vision?

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Listed:
  • Paul De Grauwe

    (LONDON SCHOOL OF ECONOMICS)

  • Eddie Gerba

    (Banco de España)

Abstract

This paper compares two state-of-the-art but very distinct methods used in macroeconomics: rational-expectations DSGE and bounded rationality behavioural models. Both models are extended to include financial frictions on the supply side. The result in both frameworks is that production, supply of credit and the front payment to capital producers depend heavily on stock market cycles. During phases of optimism, credit is abundant, access to production capital is easy, the cash-in-advance constraint is lax, risks are undervalued, and production booms. But with a reversal in market sentiment, the contraction in all these parameters is deep and sometimes asymmetric. This is all the more evident in the behavioural model, where economic agents’ cognitive limitations exacerbate the contraction. While both models capture the empirical regularities very well, the validation exercise is even more favourable to the behavioural model

Suggested Citation

  • Paul De Grauwe & Eddie Gerba, 2016. "Stock market cycles and supply side dynamics: two worlds, one vision?," Working Papers 1626, Banco de España.
  • Handle: RePEc:bde:wpaper:1626
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    1. Brock, William A. & Hommes, Cars H., 1998. "Heterogeneous beliefs and routes to chaos in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1235-1274, August.
    2. Stock, James H. & Watson, Mark W., 1999. "Business cycle fluctuations in us macroeconomic time series," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 1, pages 3-64, Elsevier.
    3. Frank Smets & Raf Wouters, 2004. "Comparing shocks and frictions in US and euro area business cycles: a Bayesian DSGE approach," Working Paper Research 61, National Bank of Belgium.
    4. Gerba, Eddie, 2013. "Reconnecting investment to stock markets: the role of corporate net worth evaluation," LSE Research Online Documents on Economics 56396, London School of Economics and Political Science, LSE Library.
    5. Albonico, Alice & Kalyvitis, Sarantis & Pappa, Evi, 2014. "Capital maintenance and depreciation over the business cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 39(C), pages 273-286.
    6. Leonardo Auernheimer & Danilo Trupkin, 2014. "The Role of Inventories and Capacity Utilization as Shock Absorbers," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(1), pages 70-85, January.
    7. Frank Smets & Raf Wouters, 2005. "Comparing shocks and frictions in US and euro area business cycles: a Bayesian DSGE Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 161-183.
    8. De Grauwe, Paul & Macchiarelli, Corrado, 2015. "Animal spirits and credit cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 59(C), pages 95-117.
    9. Champ, Bruce & Freeman, Scott, 1990. "Money, Output, and the Nominal National Debt," American Economic Review, American Economic Association, vol. 80(3), pages 390-397, June.
    10. Paul Grauwe, 2011. "Animal spirits and monetary policy," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 47(2), pages 423-457, June.
    11. Christiano, Lawrence J. & Trabandt, Mathias & Walentin, Karl, 2011. "Introducing financial frictions and unemployment into a small open economy model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 1999-2041.
    12. Zhiwei Xu & Pengfei Wang & Jianjun Miao, 2013. "A Bayesian DSGE Model of Stock Market Bubbles and Business Cycles," 2013 Meeting Papers 167, Society for Economic Dynamics.
    13. Stephanie Schmitt-Grohé & Martín Uribe, 2006. "Optimal Fiscal and Monetary Policy in a Medium-Scale Macroeconomic Model," NBER Chapters, in: NBER Macroeconomics Annual 2005, Volume 20, pages 383-462, National Bureau of Economic Research, Inc.
    14. Alina Barnett & Ben Broadbent & Adrian Chiu & Jeremy Franklin & Helen Miller, 2014. "Impaired Capital Reallocation and Productivity," National Institute Economic Review, National Institute of Economic and Social Research, vol. 228(1), pages 35-48, May.
    15. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    16. Fuerst, Timothy S, 1995. "Monetary and Financial Interactions in the Business Cycle," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(4), pages 1321-1338, November.
    17. Gertler, Mark & Karadi, Peter, 2011. "A model of unconventional monetary policy," Journal of Monetary Economics, Elsevier, vol. 58(1), pages 17-34, January.
    18. Smets, Frank & Collard, Fabrice & Boissay, Frédéric, 2013. "Booms and systemic banking crises," Working Paper Series 1514, European Central Bank.
    19. Cogley, Timothy, 2002. "A Simple Adaptive Measure of Core Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 94-113, February.
    20. M. Hashem Pesaran & TengTeng Xu, 2013. "Business Cycle Effects of Credit Shocks in a DSGE Model with Firm Defaults," Staff Working Papers 13-19, Bank of Canada.
    21. Champ,Bruce & Freeman,Scott & Haslag,Joseph, 2016. "Modeling Monetary Economies," Cambridge Books, Cambridge University Press, number 9781316508671.
    22. Gertler, Mark & Kiyotaki, Nobuhiro & Queralto, Albert, 2012. "Financial crises, bank risk exposure and government financial policy," Journal of Monetary Economics, Elsevier, vol. 59(S), pages 17-34.
    23. Branch, William A. & McGough, Bruce, 2009. "A New Keynesian model with heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1036-1051, May.
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    Cited by:

    1. Paul De Grauwe & Eddie Gerba, 2017. "Monetary transmission under competing corporate finance regimes," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 35(82), pages 78-100, April.
    2. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    3. Roberto Veneziani & Luca Zamparelli & Reiner Franke & Frank Westerhoff, 2017. "Taking Stock: A Rigorous Modelling Of Animal Spirits In Macroeconomics," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1152-1182, December.
    4. de Grauwe, Paul & Gerba, Eddie, 2017. "Monetary transmission under competing corporate finance regimes = Transmisión monetaria bajo regímenes alternativos de finanzas corporativas," LSE Research Online Documents on Economics 67658, London School of Economics and Political Science, LSE Library.
    5. repec:bdr:ensayo:v:35:y:2017:i:82:p:46-55 is not listed on IDEAS

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    More about this item

    Keywords

    supply side; beliefs; financial frictions; model validations;
    All these keywords.

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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