Papadopoulos, Georgios (2020): Probing the mechanism: lending rate setting in a data-driven agent-based model.
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Abstract
The mechanism underlying banks' interest rate setting behaviour is an important element in the study of economic systems with important policy implications associated with the potential of monetary and -recently- macroprudential policies to affect the real economy. In the agent-based modelling literature, lending rate setting has so far been modelled in an ad-hoc manner, based almost exclusively on theoretical grounds with the specifics usually chosen in an arbitrary fashion. This study tries to empirically identify the mechanism that approximates the observed patterns of consumer credit interest rates within a data-driven, agent-based model (ABM). The analysis suggests that there is heterogeneity across countries, both in terms of the rule itself as well as its specific parameters and that often a simple, borrower-risk only mechanism adequately approximates the historical series. More broadly, the validation exercise shows that the model is able to replicate the dynamics of several variables of interest, thus providing a way to bring ABMs "close to the data".
Item Type: | MPRA Paper |
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Original Title: | Probing the mechanism: lending rate setting in a data-driven agent-based model |
Language: | English |
Keywords: | Agent-based modelling, Lending rate mechanism, Consumer credit, Model validation, Rule discovery |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E21 - Consumption ; Saving ; Wealth E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E27 - Forecasting and Simulation: Models and Applications E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E43 - Interest Rates: Determination, Term Structure, and Effects |
Item ID: | 102749 |
Depositing User: | Georgios Papadopoulos |
Date Deposited: | 15 Sep 2020 14:35 |
Last Modified: | 15 Sep 2020 14:35 |
References: | Alexandre, M. and Lima, G. T. (2020). Combining monetary policy and prudential regulation: An agent-based modeling approach. Journal of Economic Interaction and Coordination, 15:385-411. Allen, H. and Taylor, M. P. (1990). Charts, noise and fundamentals in the London foreign exchange market. The Economic Journal, 100(400):49-59. Almarzoqi, R. and Naceur, S. B. (2015). Determinants of bank interest margins in the Caucasus and Central Asia. IMF Working Paper No.15/87, 15(87). Ampudia, M. and Ehrmann, M. (2017). Macroeconomic experiences and risk taking of euro area households. European Economic Review, 91:146-156. Anufriev, M. and Hommes, C. (2012a). Evolution of market heuristics. The Knowledge Engineering Review, 27(2):255-271. Anufriev, M. and Hommes, C. (2012b). Evolutionary selection of individual expectations and aggregate outcomes in asset pricing experiments. American Economic Journal: Microeconomics, 4(4):35-64. Arifovic, J. and Sargent, T. J. (2003). Laboratory experiments with an expectational Phillips curve. In Evolution and Procedures in Central Banking, pages 23-55. Cambridge University Press. Ashraf, Q., Gershman, B., and Howitt, P. (2016). How inflation affects macroeconomic performance: An agent-based computational investigation. Macroeconomic Dynamics, 20:558-581. Ashraf, Q., Gershman, B., and Howitt, P. (2017). Banks, market organization, and macroeconomic performance: An agent-based computational analysis. Journal of Economic Behavior & Organization, 135:143-180. Assenza, T., Bao, T., Hommes, C., and Massaro, D. (2014). Experiments on expectations in macroeconomics and finance. In Experiments in Macroeconomics, Research in Experimental Economics, volume 17, pages 11-70. Emerald Group Publishing Limited. Assenza, T., Delli Gatti, D., and Grazzini, J. (2015). Emergent dynamics of a macroeconomic agent based model with capital and credit. Journal of Economic Dynamics and Control, 50:5-28. Assenza, T., Heemeijer, P., Hommes, C. H., and Massaro, D. (2019). Managing self-organization of expectations through monetary policy: A macro experiment. Journal of Monetary Economics. Bandourian, R., McDonald, J., and Turley, R. (2002). A comparison of parametric models of income distribution across countries and over time. LIS Working Paper Series, No. 305. Bank of Slovenia (2015). Report of the Bank of Slovenia for the National Assembly. Technical report, Bank of Slovenia. Baugnet, V. and Hradisky, M. (2004). Determinants of Belgian bank lending interest rates. Technical report, National Bank of Belgium. Boissay, F., Cant�u, C., Claessens, S., and Villegas, A. (2019). Impact of financial regulations: Insights from an online repository of studies. BIS Quarterly Review. Botta, A., Caverzasi, E., Russo, A., Gallegati, M., and Stiglitz, J. E. (2019). Inequality and finance in a rent economy. Journal of Economic Behavior & Organization. Branch, W. A. (2004). The theory of rationally heterogeneous expectations: Evidence from survey data on inflation expectations. The Economic Journal, 114(497):592-621. Brock, P. and Franken, H. (2003). Measuring the determinants of average and marginal bank interest rate spreads in Chile, 1994-2001. Journal Econommia Chilena (The Chilean Economy), 6(3):45-65. Caiani, A., Godin, A., Caverzasi, E., Gallegati, M., Kinsella, S., and Stiglitz, J. E. (2016). Agent based-stock flow consistent macroeconomics: Towards a benchmark model. Journal of Economic Dynamics and Control, 69:375-408. Caiani, A., Russo, A., and Gallegati, M. (2019). Does inequality hamper innovation and growth? An AB-SFC analysis. Journal of Evolutionary Economics, 29(1):177-228. Cardaci, A. (2018). Inequality, household debt and financial instability: An agent-based perspective. Journal of Economic Behavior & Organization, 149:434-458. Cardaci, A. and Saraceno, F. (2019). Between Scylla and Charybdis: Income distribution, consumer credit, and business cycles. Economic Inquiry, 57(2):953-971. Central Bank of Cyprus (2013). Directive on loan origination processes and processes of reviewing existing loans of 2013. Technical report, Central Bank of Cyprus. Cincotti, S., Raberto, M., and Teglio, A. (2012). The EURACE macroeconomic model and simulator. In Complexity and Institutions: Markets, Norms and Corporations., pages 81-106. Palgrave Macmillan, New York. Claeys, S. and Vander Vennet, R. (2008). Determinants of bank interest margins in Central and Eastern Europe: A comparison with the West. Economic Systems, 32(2):197-216. Cornand, C. and Heinemann, F. (2014). Experiments on monetary policy and central banking. In Experiments in Macroeconomics, Research in Experimental Economics, volume 17, pages 167-227. Emerald Group Publishing Ltd. Dawid, H. and Delli Gatti, D. (2018). Agent-based macroeconomics. Handbook of Computational Economics, 4:63-156. Dawid, H., Harting, P., van der Hoog, S., and Neugart, M. (2019). Macroeconomics with heterogeneous agent models: Fostering transparency, reproducibility and replication. Journal of Evolutionary Economics, 29(1):467-538. Delli Gatti, D. and Desiderio, S. (2015). Monetary policy experiments in an agent-based model with financial frictions. Journal of Economic Interaction and Coordination, 10(2):265-286. Delli Gatti, D., Desiderio, S., Ga�eo, E., Cirillo, P., and Gallegati, M. (2011). Macroeconomics from the bottom-up, volume 1. Springer Science & Business Media. Delli Gatti, D., Gallegati, M., Greenwald, B., Russo, A., and Stiglitz, J. E. (2010). The financial accelerator in an evolving credit network. Journal of Economic Dynamics and Control, 34(9):1627-1650. D'Orazio, P. (2019). Income inequality, consumer debt, and prudential regulation: An agent-based approach to study the emergence of crises and financial instability. Economic Modelling, 82:308-331. D'Orazio, P. and Giulioni, G. (2017). From micro behaviors to macro dynamics: An agent-based economic model with consumer credit. Journal of Artificial Societies and Social Simulation, 20(1). Dosi, G., Fagiolo, G., Napoletano, M., and Roventini, A. (2013). Income distribution, credit and fiscal policies in an agent-based Keynesian model. Journal of Economic Dynamics and Control, 37(8):1598-1625. Dosi, G., Fagiolo, G., Napoletano, M., Roventini, A., and Treibich, T. (2015). Fiscal and monetary policies in complex evolving economies. Journal of Economic Dynamics and Control, 52:166-189. Drehmann, M., Illes, A., Juselius, M., and Santos, M. (2015). How much income is used for debt payments? A new database for debt service ratios. BIS Quarterly Review, page 89. Ehrmann, M. and Tzamourani, P. (2012). Memories of high inflation. European Journal of Political Economy, 28(2):174-191. European Systemic Risk Board (2016). A review of macroprudential policy in the EU in 2015. Technical report, European Systemic Risk Board. European Systemic Risk Board (2017). A review of macroprudential policy in the EU in 2016. Technical report, European Systemic Risk Board. European Systemic Risk Board (2018). A review of macroprudential policy in the EU in 2017. Technical report, European Systemic Risk Board. European Systemic Risk Board (2019). A review of macroprudential policy in the EU in 2018. Technical report, European Systemic Risk Board. European Systemic Risk Board (2020). A review of macroprudential policy in the EU in 2019. Technical report, European Systemic Risk Board. Farmer, J. D. and Foley, D. (2009). The economy needs agent-based modelling. Nature, 460(7256):685-686. Fehr, E. and Tyran, J.-R. (2008). Limited rationality and strategic interaction: The impact of the strategic environment on nominal inertia. Econometrica, 76(2):353-394. Frankel, J. A. and Froot, K. A. (1987). Using survey data to test standard propositions regarding exchange rate expectations. The American Economic Review, 77(1):133-153. Freixas, X. and Rochet, J.-C. (2008). Microeconomics of banking. MIT press. Gaffo, E., Delli Gatti, D., Desiderio, S., and Gallegati, M. (2008). Adaptive microfoundations for emergent macroeconomics. Eastern Economic Journal, 34(4):441-463. Gambacorta, L. (2008). How do banks set interest rates? European Economic Review, 52(5):792-819. Geanakoplos, J., Axtell, R., Farmer, D. J., Howitt, P., Conlee, B., Goldstein, J., Hendrey, M., Palmer, N. M., and Yang, C.-Y. (2012). Getting at systemic risk via an agent-based model of the housing market. American Economic Review, 102(3):53-58. Giri, F., Riccetti, L., Russo, A., and Gallegati, M. (2019). Monetary policy and large crises in a financial accelerator agent-based model. Journal of Economic Behavior & Organization, 157:42-58. Godley, W. and Lavoie, M. (2016). Monetary economics: An integrated approach to credit, money, income, production and wealth. Springer. Gualdi, S., Tarzia, M., Zamponi, F., and Bouchaud, J.-P. (2015). Tipping points in macroeconomic agent-based models. Journal of Economic Dynamics and Control, 50:29-61. Gurgone, A., Iori, G., and Jafarey, S. (2018). The effects of interbank networks on efficiency and stability in a macroeconomic agent-based model. Journal of Economic Dynamics and Control, 91:257-288. Hommes, C., Massaro, D., and Weber, M. (2019). Monetary policy under behavioral expectations: Theory and experiment. European Economic Review, 118:193-212. Hommes, C., Sonnemans, J., Tuinstra, J., and van de Velden, H. (2005). Coordination of expectations in asset pricing experiments. Review of Financial Studies, 18(3):955-980. Hommes, C., Sonnemans, J., Tuinstra, J., and van de Velden, H. (2008). Expectations and bubbles in asset pricing experiments. Journal of Economic Behavior & Organization, 67(1):116-133. Horvath, R. and Podpiera, A. (2012). Heterogeneity in bank pricing policies: The Czech evidence. Economic Systems, 36(1):87-108. Mankiw, N. G., Reis, R., and Wolfers, J. (2003). Disagreement about inflation expectations. NBER Macroeconomics Annual, 18:209-248. Marimon, R. and Sunder, S. (1995). Does a constant money growth rule help stabilize in flation? Experimental evidence. In Carnegie-Rochester Conference Series on Public Policy, volume 43, pages 111-156. Elsevier. McAdam, P. and Mestre, R. (2008). Evaluating macro-economic models in the frequency domain: A note. Economic Modelling, 25(6):1137-1143. McAdam, P. and Morgan, J. (2003). Analysing monetary policy transmission at the euro area level using structural macroeconomic models, page 75-90. Cambridge University Press. Meijers, H., Nomaler, O., and Verspagen, B. (2018). Demand, credit and macroeconomic dynamics. A micro simulation model. Journal of Evolutionary Economics, pages 1-28. Modigliani, F. and Brumberg, R. (1954). Utility analysis and the consumption function: An interpretation of cross-section data. Franco Modigliani, 1:388-436. Osborne, M., Fuertes, A.-M., and Milne, A. (2017). In good times and in bad: Bank capital ratios and lending rates. International Review of Financial Analysis, 51:102-112. Palagi, E., Napoletano, M., Roventini, A., and Gaffrd, J.-L. (2017). Inequality, redistributive policies and multiplier dynamics in an agent-based model with credit rationing. Italian Economic Journal, 3(3):367-387. Papadopoulos, G. (2019). Income inequality, consumption, credit and credit risk in a data-driven agent-based model. Journal of Economic Dynamics and Control, 104:39-73. Pfajfar, D. and Santoro, E. (2010). Heterogeneity learning and information stickiness in inflation expectations. Journal of Economic Behavior & Organization, 75(3):426-444. Platt, D. (2020). A comparison of economic agent-based model calibration methods. Journal of Economic Dynamics and Control, pages 103-859. Poledna, S., Miess, M., and Hommes, C. H. (2020). Economic forecasting with an agent-based model. IIASA Working Paper, (20-001). Popoyan, L., Napoletano, M., and Roventini, A. (2020). Winter is possibly not coming: Mitigating financial instability in an agent-based model with interbank market. Journal of Economic Dynamics and Control, page 103937. Reissl, S. (2020a). Heterogeneous expectations, forecasting behaviour and policy experiments in a hybrid agent-based stock-flow-consistent model. Journal of Evolutionary Economics, pages 1-49. Reissl, S. (2020b). Minsky from the bottom up-formalising the two-price model of investment in a simple agent-based framework. Journal of Economic Behavior & Organization, 177:109-142. Riccetti, L., Russo, A., and Gallegati, M. (2013). Unemployment benefits and financial leverage in an agent based macroeconomic model. Economics: The Open-Access, Open-Assessment E-Journal, 7(2013-42):1-44. Riccetti, L., Russo, A., and Gallegati, M. (2015). An agent based decentralized matching macroeconomic model. Journal of Economic Interaction and Coordination, 10(2):305-332. Russo, A., Riccetti, L., and Gallegati, M. (2016). Increasing inequality, consumer credit and financial fragility in an agent based macroeconomic model. Journal of Evolutionary Economics, 26(1):25-47. Teglio, A., Mazzocchetti, A., Ponta, L., Raberto, M., and Cincotti, S. (2019). Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model. Journal of Economic Behavior & Organization, 157:59-83. Valverde, S. C. and Ferandez, F. R. (2007). The determinants of bank margins in European banking. Journal of Banking & Finance, 31(7):2043-2063. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/102749 |