An Agent-Based Computational Model for Bank Formation and Interbank Networks Chapters uri icon

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abstract

  • The aim of this thesis is to study the role of banking in society and the effect of the

    interbank market on the performance of the banking system.

    It starts by reviewing

    several studies conducted on empirical banking networks and highlighting their salient

    features in the context of modern network theory. A simulated network resembling the

    characteristics documented in the empirical studies is then built and its resilience is

    analyzed with a particular emphasis in documenting the crucial role played by highly

    interconnected banks.

    It is our belief that the study of systemic risk and contagion in a banking system

    is an integral part to the study of the economic role of banks themselves. Thus the

    current work focuses on the fundamentals of banking and aims at identifying the

    necessary drivers for a dynamical setup of the interbank market.

    Through an agent–based model, we address the issues of bank formation, bank runs

    and the emergence of an interbank market. Starting with heterogeneous individuals,

    bank formation is viewed as an emergent phenomenon arising to meet the needs for

    investment opportunities in face of uncertain liquidity preferences. When banks work

    in isolation (no interbank market), in the long run and through a long experience with

    bank failures, banking turns into a monopoly or a market with few players.

    By equipping banks with their own learning tools and allowing an interbank market

    to develop, fewer bank failures and a less concentrated banking system are witnessed.

    In addition, through a scenario analysis, it is demonstrated that allowing banks to

    interact does not weaken the banking system in almost all the cases, and improves

    the performance on multiple occasions.

    The work is concluded by studying the effects of a banking system on individuals

    and the economy in what is called social measures. We establish that the effects

    of banking on social measures such as consumption level, consumption inequality

    between individuals, long term investment and economic waste, varies significantly

    based on the structure of the society.

publication date

  • May 23, 2013