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The role of sentiment in the provision of credit

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  • Meyer, Björn O.

Abstract

The provision of credit has been shown to be eminent for macroeconomic activity. Recent research highlighted that optimism may play a role in the provision of credit through leverage cycles. A decomposition of corporate bond spreads allows the modelling of a propensity-to-lend through an excess bond premium. In the US economy, optimism in various sentiment measures causes within a VAR model, including other financial market variables, a fall of this excess bond premium and therefore increase the propensity-to-lend. Use of the Michigan Consumer Sentiment Index and animal spirit indices show a variation of information content in sentiment and different types of animal spirits. The overall reaction to positive animal spirits seems to be dominated by a positive response of the credit provision and its subsequent reversal, while an increase in the MCSI causes a more persistent positive response.

Suggested Citation

  • Meyer, Björn O., 2014. "The role of sentiment in the provision of credit," Kiel Advanced Studies Working Papers 466, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwasw:466
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    References listed on IDEAS

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    1. Barberis, Nicholas & Thaler, Richard, 2003. "A survey of behavioral finance," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 18, pages 1053-1128, Elsevier.
    2. 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.
    3. Robert B. Barsky & Eric R. Sims, 2012. "Information, Animal Spirits, and the Meaning of Innovations in Consumer Confidence," American Economic Review, American Economic Association, vol. 102(4), pages 1343-1377, June.
    4. Vasco Cúrdia & Michael Woodford, 2010. "Credit Spreads and Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(s1), pages 3-35, September.
    5. Paul De Grauwe, 2012. "Lectures on Behavioral Macroeconomics," Economics Books, Princeton University Press, edition 1, volume 1, number 9891.
    6. Paul De Grauwe & Marianna Grimaldi, 2014. "Heterogeneity of Agents, Transactions Costs and the Exchange Rate," World Scientific Book Chapters, in: Exchange Rates and Global Financial Policies, chapter 2, pages 33-70, World Scientific Publishing Co. Pte. Ltd..
    7. Jeffery D Amato & Eli M Remolona, 2003. "The credit spread puzzle," BIS Quarterly Review, Bank for International Settlements, December.
    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. Pierre Collin-Dufresn & Robert S. Goldstein & J. Spencer Martin, 2001. "The Determinants of Credit Spread Changes," Journal of Finance, American Finance Association, vol. 56(6), pages 2177-2207, December.
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    More about this item

    JEL classification:

    • E03 - Macroeconomics and Monetary Economics - - General - - - Behavioral Macroeconomics
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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