Lending attitude as a financial accelerator in a credit network economy
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DOI: 10.1007/s11403-012-0102-9
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Cited by:
- Rubino, Michele & Vitolla, Filippo & Raimo, Nicola & Garzoni, Antonello, 2019. "Cultura nazionale e livello di digitalizzazione delle imprese europee: evidenze empiriche," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 581-593.
- Pablo Pastory y Camarasa & Martien Lamers, 2023. "Do Actions Follow Words? How bank sentiment predicts credit growth," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 23/1073, Ghent University, Faculty of Economics and Business Administration.
- He, Jianmin & Sui, Xin & Li, Shouwei, 2016. "An endogenous model of the credit network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 1-14.
- Chiarella Carl & Di Guilmi Corrado & Zhi Tianhao, 2020. "“Animal spirits” and bank’s lending behaviour, a disequilibrium approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-21, April.
- Sui, Xin & Li, Liang, 2018. "Guarantee network model and risk contagion," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 323-329.
- Tianhao Zhi, 2016. "Animal Spirits and Financial Instability - A Disequilibrium Macroeconomic Perspective," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2016, January-A.
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More about this item
Keywords
Agent-based model; Credit network economy; Bank’s lending attitudes; Financial accelerator; Optimal lending attitude; E51; G21;All these keywords.
JEL classification:
- E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
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