THE ROLE OF COST OF LOAN IN BANKING LOAN DYNAMICS: BIFURCATION AND CHAOS ANALYSIS
Abstract
The gradient adjustment process is used to create a dynamic model of banking loan. The sign of the loan’s marginal profit determines how much money will be loaned in the future. In this research, using bifurcation theory, we investigate the cost of loan in the dynamics of a bank’s loan. The results of the analysis indicate that the stability of the loan equilibrium might be impacted by the cost of loan. Loan equilibrium may become unstable through transcritical bifurcation if the cost of the loan is sufficiently high. The loan equilibrium may become unstable through flip bifurcation and path to chaos, however, if the cost of loan is too low. If the cost of loan lies between the bifurcation values, the loan equilibrium is stable. The numerical simulations back up these conclusions. Additionally, we display the Lyapunov exponent graph, which shows the presence of chaos, and the chaotic loan graph, which is sensitive to the initial condition.
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G. E. Chortareas, C. Girardone, and A. Ventouri, “Financial freedom and bank efficiency: Evidence from the European Union,” J. Bank. Financ., vol. 37, no. 4, pp. 1223–1231, Apr. 2013, doi: 10.1016/J.JBANKFIN.2012.11.015.
S. Yamazaki and H. Miyamoto, “A Note on Bank Behavior and Monetary Policies in an Oligopolistic Market,” 2004.
K. Matthews and J. Thompson, The economics of banking. 2nd ed. 2008.
M. F. Ansori, K. A. Sidarto, N. Sumarti, and I. Gunadi, “Dynamics of Bank’s Balance Sheet: A System of Deterministic and Stochastic Differential Equations Approach,” Int. J. Math. Comput. Sci., vol. 16, no. 3, pp. 871–884, 2021.
S. Brianzoni and G. Campisi, “Dynamical analysis of a banking duopoly model with capital regulation and asymmetric costs,” Discret. Contin. Dyn. Syst. - Ser. B, vol. 26, no. 11, pp. 5807–5825, 2021, doi: 10.3934/DCDSB.2021116.
S. Brianzoni, G. Campisi, and A. Colasante, “Nonlinear banking duopoly model with capital regulation: The case of Italy,” Chaos, Solitons & Fractals, vol. 160, p. 112209, Jul. 2022, doi: 10.1016/J.CHAOS.2022.112209.
M. C. V. Manlagñit, “Cost efficiency, determinants, and risk preferences in banking: A case of stochastic frontier analysis in the Philippines,” J. Asian Econ., vol. 22, no. 1, pp. 23–35, Feb. 2011, doi: 10.1016/J.ASIECO.2010.10.001.
G. Chortareas, G. Kapetanios, and A. Ventouri, “Credit market freedom and cost efficiency in US state banking,” J. Empir. Financ., vol. 37, pp. 173–185, Jun. 2016, doi: 10.1016/J.JEMPFIN.2016.03.002.
Y. D. Deli, M. D. Delis, I. Hasan, and L. Liu, “Enforcement of banking regulation and the cost of borrowing,” J. Bank. Financ., vol. 101, pp. 147–160, Apr. 2019, doi: 10.1016/J.JBANKFIN.2019.01.016.
E. Lee, C. Kim, and M. A. Leach-López, “Banking competition and cost stickiness,” Financ. Res. Lett., vol. 41, p. 101859, Jul. 2021, doi: 10.1016/J.FRL.2020.101859.
W. Li and K. Zheng, “Product market competition and cost stickiness,” Rev. Quant. Financ. Account., vol. 49, no. 2, pp. 283–313, 2017.
A. R. Fonseca and F. González, “How bank capital buffers vary across countries: The influence of cost of deposits, market power and bank regulation,” J. Bank. Financ., vol. 34, no. 4, pp. 892–902, Apr. 2010, doi: 10.1016/J.JBANKFIN.2009.09.020.
B. Zhu and Y. Zhao, “Carbon risk and the cost of bank loans: Evidence from China,” Technol. Forecast. Soc. Change, vol. 180, p. 121741, Jul. 2022, doi: 10.1016/J.TECHFORE.2022.121741.
W. C. Chiu, T. H. D. King, and C. W. Wang, “Debt maturity dispersion and the cost of bank loans,” J. Corp. Financ., vol. 70, p. 102049, Oct. 2021, doi: 10.1016/J.JCORPFIN.2021.102049.
I. Hasan, S. J. Kim, P. N. Politsidis, and E. Wu, “Loan syndication under Basel II: How do firm credit ratings affect the cost of credit?,” J. Int. Financ. Mark. Institutions Money, vol. 72, p. 101331, May 2021, doi: 10.1016/J.INTFIN.2021.101331.
E. Dalla and E. Varelas, “Regulation & oligopoly in banking: The role of banking cost structure,” J. Econ. Bus., vol. 104, p. 105836, Jul. 2019, doi: 10.1016/J.JECONBUS.2019.02.002.
X. Hou, S. Li, P. Guo, and Q. Wang, “The cost effects of shadow banking activities and political intervention: Evidence from the banking sector in China,” Int. Rev. Econ. Financ., vol. 57, pp. 307–318, Sep. 2018, doi: 10.1016/J.IREF.2018.01.019.
M. Quijano, “Financial fragility, uninsured deposits, and the cost of debt,” North Am. J. Econ. Financ., vol. 24, no. 1, pp. 159–175, Jan. 2013, doi: 10.1016/J.NAJEF.2012.10.001.
A. A. Elsadany, “Dynamics of a delayed duopoly game with bounded rationality,” Math. Comput. Model., vol. 52, no. 9–10, pp. 1479–1489, Nov. 2010, doi: 10.1016/J.MCM.2010.06.011.
A. A. Elsadany, “Dynamics of a Cournot duopoly game with bounded rationality based on relative profit maximization,” Appl. Math. Comput., vol. 294, pp. 253–263, Feb. 2017, doi: 10.1016/J.AMC.2016.09.018.
L. Fanti, “The dynamics of a banking duopoly with capital regulations,” Econ. Model., vol. 37, pp. 340–349, Feb. 2014, doi: 10.1016/J.ECONMOD.2013.11.010.
M. F. Ansori, N. Sumarti, K. A. Sidarto, and I. Gunadi, “Analyzing a macroprudential instrument during the COVID-19 pandemic using border collision bifurcation,” Rev. Electrónica Comun. y Trab. ASEPUMA, vol. 22, no. 2, pp. 113–125, 2021, doi: 10.24309/recta.2021.22.2.04.
M. F. Ansori, “Model matematik dan aplikasinya untuk menganalisis instrumen makroprudensial,” Institut Teknologi Bandung, 2021.
G.-I. Bischi, C. Chiarella, M. Kopel, and F. Szidarovszky, Nonlinear Oligopolies: Stability and Bifurcations. Berlin: Springer-Verlag, 2010.
M. A. Klein, “A theory of the banking firm,” J. Money. Credit. Bank., vol. 3, pp. 205–218, 1971.
M. Monti, “Deposit, credit and interest rates determination under alternative objective functions,” in Mathematical methods in investment and finance, G.P. Szego and K. Shell, Ed. Amsterdam, 1972.
K. Alligood, T. Sauer, and J. Yorke, Chaos: An Introduction to Dynamical Systems. New York: Springer-Verlag, 1996.
G. Gandolfo, Economic Dynamics: Methods and Models, 2nd ed. Amsterdam: Elsevier Science Publisher BV, 1985.
M. F. Ansori, N. Sumarti, K. A. Sidarto, and I. Gunadi, “An Algorithm for Simulating the Banking Network System and Its Application for Analyzing Macroprudential Policy,” Comput. Res. Model., vol. 13, no. 6, pp. 1275–1289, 2021, doi: 10.20537/2076-7633-2021-13-6-1275-1289.
I. Gunadi and C. A. Harun, “Revitalising reserve requirement in banking model: An industrial organisation approach,” SEACEN Occas. Pap., no. 51, 2011.
M. F. Ansori, K. A. Sidarto, and N. Sumarti, “Model of deposit and loan of a bank using spiral optimization algorithm,” J. Indones. Math. Soc., vol. 25, no. 3, pp. 292–301, 2019.
M. F. Ansori, K. A. Sidarto, and N. Sumarti, “Logistic models of deposit and loan between two banks with saving and debt transfer factors,” in AIP Conference Proceedings, 2019, vol. 2192, doi: 10.1063/1.5139148.
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