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A tipping point in 300 years of banking? A conceptual simulation of the British banking system

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Abstract

It has become popular to describe the behaviour of certain systems as “undergoing a tipping point”. This is normally used as a description of a system that has rapidly changed from an apparently stable state to a new state with little or no warning. A wide range of complex systems can display tipping point behaviour, from climate systems to populations of people. Here we present preliminary work of using the British banking sector from 1559 to 2012 as a case study for the modelling of complex systems that show tipping point behaviour. Currently implemented in a highly abstracted form, we present a description of a conceptual model of the British banking system that is able to reproduce the general features of the changing population of British banks. However, to do so requires interventions in the system, rather than emergent properties. We discuss what future alterations to the model could be made to overcome this limitation.

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References

  • Andrews PS, Polack FAC, Sampson AT, Stepney S, Timmis J (2010) The CoSMoS process, version 0.1: a process for the modelling and simulation of complex systems. Tech. Rep. YCS-2010-453. Department of Computer Science, University of York

  • Bentley RA, Lake MW, Shennan SJ (2005) Specialisation and wealth inequality in a model of a clustered economic network. J Archaeol Sci 32(9):1346–1356

    Article  Google Scholar 

  • Bikhchandani S, Sharma S (2000) Herd behavior in financial markets. IMF Staff papers, pp 279–310

  • Bonabeau E (2002) Agent-based modeling: methods and techniques for simulating human systems. Proc Nat Acad Sci USA 99 Suppl 3(90003):7280–7287. doi:10.1073/pnas.082080899

    Article  Google Scholar 

  • Brock WA (2004) Tipping points, abrupt opinion changes, and punctuated policy change. Ph.D. thesis, University of Wisconsin

  • Collins M (1989) The banking crisis of 1878. Econ Hist Rev 42(4):504–527

    Article  Google Scholar 

  • DiMaggio PJ, Powell WW (1983) The iron cage revisited: institutional isomorphism and collective rationality in organizational fields. Am Sociol Rev 48(2):147–160

    Article  Google Scholar 

  • Droop A, Garnett P, Polack FAC, Stepney S (2011) Multiple model simulation: modelling cell division and differentiation in the prostate. In: Stepney S, Welch PH, Andrews PS, Ritson CG (eds) Proceedings of the 2011 workshop on complex systems modelling and simulation. Luniver Press, Paris, France, pp 79–111

    Google Scholar 

  • Farmer JD, Geanakoplos J (2009) The virtues and vices of equilibrium and the future of financial economics. Complexity 14(3):11–38. doi:10.1002/cplx.20261

    Article  MathSciNet  Google Scholar 

  • Flood RP, Hodrick RJ (1986) Asset price volatility, bubbles, and process switching. J Financ 41(4):831–842

    Article  Google Scholar 

  • Furfine CH (2003) Interbank exposures: quantifying the risk of contagion. J Money Credit Bank 35(1):111–128. doi:10.2307/3649847

    Article  Google Scholar 

  • Gai P, Kapadia S (2010) Contagion in financial networks. Proc R Soc A 466(2120):2401–2423. doi:10.1098/rspa.2009.0410

    Article  MATH  MathSciNet  Google Scholar 

  • Gai P, Haldane A, Kapadia S (2011) Complexity, concentration and contagion. J Monetary Econ 58(5):453–470. doi:10.1016/j.jmoneco.2011.05.005

    Article  Google Scholar 

  • Garnett P (2012) Going around again: modelling standing ovations with a flexible agent-based simulation framework. In: Stepney Susan Andrews PRM (ed) Complex systems simulation and modelling workshop. Luniver Press, Orleans, France, pp 27–46

    Google Scholar 

  • Garnett P (2013) Bursting a bubble: abstract banking demographics to understand tipping points? In: Stepney S, Andrews PS (eds) Proceedings of the 2013 workshop on complex systems modelling and simulation. Luniver Press, Milan, Italy, pp 61–72

    Google Scholar 

  • Garnett P, Stepney S, Leyser O (2008) Towards an executable model of auxin transport canalisation. In: Stepney S, Polack F, Welch P (eds) Proceedings of the 2008 workshop on complex systems modelling and simulation. Luniver Press, York, UK, pp 63–91

    Google Scholar 

  • Garnett P, Stepney S, Day F, Leyser O (2010) Using the CoSMoS process to enhance an executable model of auxin transport canalisation. In: Stepney S, Welch PH, Andrews PS, Sampson AT (eds) Proceedings of the 2010 workshop on complex systems modelling and simulation. Luniver Press, Odense, Denmark, pp 9–32

    Google Scholar 

  • Gladwell M (2000) The tipping point: how little things can make a big difference. Little Brown, Boston, NY

    Google Scholar 

  • Group OM (2012) Maintainer of the UML Standards. www.omg.org

  • Horsefield JK (1944) The origins of the bank charter act, 1844. Economica 11(44), 180–189 CR-Copyright & #169; 1944 The London Scho

  • Iori G, Jafarey S, Padilla FG (2006) Systemic risk on the interbank market. J Econ Behav Org 61(4):525–542. doi:10.1016/j.jebo.2004.07.018

    Article  Google Scholar 

  • Martínez-Jaramillo S, Pérez OP, Embriz FA, Dey FLG (2010) Systemic risk, financial contagion and financial fragility. J Econ Dyn Control 34(11):2358–2374. doi:10.1016/j.jedc.2010.06.004

    Article  Google Scholar 

  • Mathias P (1969) The first industrial nation: the economic history of Britain 1700–1914, 2nd edn. Routledge, London

    Google Scholar 

  • May RM, Arinaminpathy N (2010) Systemic risk: the dynamics of model banking systems. J R Soc Interface 7(46):823–838. doi:10.1098/rsif.2009.0359

    Article  Google Scholar 

  • Munn CW (1988) The emergence of joint-stock banking in the British isles a comparative approach. Bus Hist 30(1):69–83. doi:10.1080/00076798800000004

    Article  Google Scholar 

  • Neal L (1998) The financial crisis of 1825 and the restructuring of the British financial system. Rev Federal Reserve Bank Saint Louis 80:53–76

    Google Scholar 

  • Neo4J (2014) The world’s leading Graph database. www.neo4j.org

  • Nier E, Yang J, Yorulmazer T, Alentorn A (2007) Network models and financial stability. J Econ Dyn Control 31(6):2033–2060. doi:10.1016/j.jedc.2007.01.014

    Article  MATH  Google Scholar 

  • Odell J, Parunak H, Bauer B (2000) Extending UML for agents. In: AOIS Workshop at AAAI, Austin, pp 3–17

  • Polack FAC, Droop A, Garnett P, Ghetiu T, Stepney S (2011) Simulation validation: exploring the suitability of a simulation of cell division and differentiation in the prostate. In: Stepney S, Welch PH, Andrews PS, Ritson CG (eds) Proceedings of the 2011 workshop on complex systems modelling and simulation. Luniver Press, Paris, France, pp 113–133

    Google Scholar 

  • Read M, Timmis J, Andrews PS, Vipin K (2009) Using UML to model EAE and its regulatory network. In: Andrews PS, Timmis J, Owens NDL, Aickelin U, Hart E, Hone A, Tyrrell AM (eds) Proceedings of 8th international conference on AIS, lecture notes in computer science, vol 5666. Springer, Berlin, pp 4–6. doi:10.1007/978-3-642-03246-2

    Google Scholar 

  • Robertson DA (2003) Agent-based models of a banking network as an example of a turbulent environment: the deliberate vs. emergent strategy debate revisited. Emergence 5(2):56–71. doi:10.1207/S15327000EM050207

    Article  Google Scholar 

  • Roux-Rouquié M, Caritey N, Gaubert L, Le Grand B, Soto M (2005) Metamodel and modeling language: towards an Unified Modeling Language (UML) profile for systems biology. Object-oriented Modeling in Biology and Medecine, SCI 2005

  • Sornette D (2004) Why stock markets crash: critical events in complex financial systems. Princeton University Press, Princeton, NJ

    Google Scholar 

  • Sornette D, Andersen JV (2002) A nonlinear super-exponential rational model of speculative financial bubbles. Int J Mod Phys C 13(02):171–187. doi:10.1142/S0129183102003085

    Article  MATH  Google Scholar 

  • Sykes J (1926) The amalgamation movement in english banking, 1825–1924. P.S. King and Son Ltd, London

    Google Scholar 

  • Taylor J (2013) Boardroom scandal: the criminalization of company fraud in nineteenth-century britain. Oxford University Press, Oxford

    Book  Google Scholar 

  • Upper C (2011) Simulation methods to assess the danger of contagion in interbank markets. J Financ Stab 7(3):111–125. doi:10.1016/j.jfs.2010.12.001

    Article  Google Scholar 

  • Vallascas F, Keasey K (2012) Bank resilience to systemic shocks and the stability of banking systems: small is beautiful. J Int Money Financ 31(6):1745–1776. doi:10.1016/j.jimonfin.2012.03.011

    Article  Google Scholar 

  • Webb K, White T (2005) UML as a cell and biochemistry modeling language. Biosystems 80(3):283–302. doi:10.1016/j.biosystems.2004.12.003

    Article  Google Scholar 

  • Yan W, Woodard R, Sornette D (2010) Diagnosis and prediction of tipping points in financial markets: cashes and rebounds. Phys Proc 3(5):1641–1657. doi:10.1016/j.phpro.2010.07.004

    Article  Google Scholar 

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Acknowledgments

We also thank Dr Simon Mollan and Prof. Ranald Michie for useful discussions. This paper is based on an earlier conference paper (Garnett 2013). This work was supported by the Leverhulme Trust as part of the Tipping Points Project.

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  1. Philip Garnett

    Present address: The York Management School, University of York, Freboys Lane, Heslington, York, YO10 5GD, UK

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  1. Department of Anthropology, Durham University, Dawson Building, South Road, Durham, DH1 3LE, UK

    Philip Garnett

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  1. Philip Garnett
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Correspondence to Philip Garnett.

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Garnett, P. A tipping point in 300 years of banking? A conceptual simulation of the British banking system. Nat Comput 14, 25–37 (2015). https://doi.org/10.1007/s11047-014-9467-0

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