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Agent-based risk management - A regulatory approach to financial markets

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  • Thomas Theobald

Abstract

This paper provides market risk calculation for an equity-based trading portfolio. Instead of relying on the purely stochastic internal model method, which banks currently apply in line with the Basel regulatory requirements, we propose to include also alternative price mechanisms from the financial literature into the regulatory framework. For this purpose a modified version of the model by Lux and Marchesi (2000) is developed, capturing the realistic feature that parts of the investors do not follow the assumption of no arbitrage, but are motivated by rules of thumb and market psychology instead. Although both the standard stochastic as well as the behavioral model are restricted to 250 trading days, the latter is able to capitalize possible turbulences on financial markets and likewise the well-known phenomenon of excess volatility - even if the last 250 days reflect a calm market for which the efficient-market hypothesis could hold. Thus it is argued that a value-at-risk-based maximum approach in the regulatory framework would create better capital requirements with respect to their level and counter-cyclicality. This in turn could reduce the extent to which (irrational) bubbles arise since market participants would have to anticipate comprehensively the costs of such bubbles bursting. Furthermore a key ratio is deduced from the agent-based construction to lower the influence of speculative derivatives.

Suggested Citation

  • Thomas Theobald, 2012. "Agent-based risk management - A regulatory approach to financial markets," IMK Working Paper 95-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
  • Handle: RePEc:imk:wpaper:95-2012
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    1. Ritter, Jay R., 2003. "Behavioral finance," Pacific-Basin Finance Journal, Elsevier, vol. 11(4), pages 429-437, September.
    2. Shleifer, Andrei & Summers, Lawrence H, 1990. "The Noise Trader Approach to Finance," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 19-33, Spring.
    3. Arthur, W.B. & Holland, J.H. & LeBaron, B. & Palmer, R. & Tayler, P., 1996. "Asset Pricing Under Endogenous Expectations in an Artificial Stock Market," Working papers 9625, Wisconsin Madison - Social Systems.
    4. D. Colander & H. Follmer & A. Haas & M. Goldberg & K. Juselius & A. Kirman & T. Lux & B. Sloth, 2010. "The Financial Crisis and the Systemic Failure of Academic Economics," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 6.
    5. Robert C. Merton, 2005. "Theory of rational option pricing," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 8, pages 229-288, World Scientific Publishing Co. Pte. Ltd..
    6. Josef Lakonishok & Inmoo Lee & Neil D. Pearson & Allen M. Poteshman, 2007. "Option Market Activity," The Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 813-857.
    7. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    8. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
    9. Baillie, Richard T. & Bollerslev, Tim & Mikkelsen, Hans Ole, 1996. "Fractionally integrated generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 74(1), pages 3-30, September.
    10. John Y. Campbell & Albert S. Kyle, 1993. "Smart Money, Noise Trading and Stock Price Behaviour," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(1), pages 1-34.
    11. Raphaele Chappe & Willi Semmler, 2012. "Financial Reform in the U.S.A Critical Survey of Dodd-Frank and What is Needed for Europe," SCEPA working paper series. 2012-6, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    12. Paul Davidson, 1991. "Rational Expectations: a Fallacious Foundation for Studying Crucial Decision Making Processes," Palgrave Macmillan Books, in: Louise Davidson (ed.), Inflation, Open Economies and Resources, chapter 12, pages 123-138, Palgrave Macmillan.
    13. Chen, Shu-Heng & Lux, Thomas & Marchesi, Michele, 2001. "Testing for non-linear structure in an artificial financial market," Journal of Economic Behavior & Organization, Elsevier, vol. 46(3), pages 327-342, November.
    14. Alexander, Gordon J. & Baptista, Alexandre M. & Yan, Shu, 2012. "Bank regulation and stability: An examination of the Basel market risk framework," Discussion Papers 09/2012, Deutsche Bundesbank.
    15. Raphaële Chappe & Willi Semmler, 2012. "Financial Reform in the U.S.: A Critical Survey of Dodd-Frank and What is Needed for Europe," IMK Studies 28-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    16. Thomas Lux & Michele Marchesi, 2000. "Volatility Clustering In Financial Markets: A Microsimulation Of Interacting Agents," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 3(04), pages 675-702.
    17. Sebastian Dullien, 2012. "Anspruch und Wirklichkeit der Finanzmarktreform: Welche G20- Versprechen wurden umgesetzt?," IMK Studies 26-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    18. Lux, Thomas, 1998. "The socio-economic dynamics of speculative markets: interacting agents, chaos, and the fat tails of return distributions," Journal of Economic Behavior & Organization, Elsevier, vol. 33(2), pages 143-165, January.
    19. Alan P. Kirman, 1992. "Whom or What Does the Representative Individual Represent?," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 117-136, Spring.
    20. Gustav A. Horn & Heike Joebges & Lothar Kamp & Alexandra Krieger & Sebastian Sick & Silke Tober, 2009. "Gesamtwirtschaftliche Stabilität durch bessere Regulierung - Vorschläge für eine Neuordnung der Finanzmärkte," IMK Report 36-2009, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    21. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    22. Tirole, Jean, 1985. "Asset Bubbles and Overlapping Generations," Econometrica, Econometric Society, vol. 53(6), pages 1499-1528, November.
    23. Benoit Mandelbrot & Adlai Fisher & Laurent Calvet, 1997. "A Multifractal Model of Asset Returns," Cowles Foundation Discussion Papers 1164, Cowles Foundation for Research in Economics, Yale University.
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    Cited by:

    1. Thomas Theobald & Silke Tober & Emanuel List, 2015. "Finanzmarktstabilität in Zeiten unkonventioneller Geldpolitik," IMK Report 107-2015, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.

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    More about this item

    Keywords

    systemic risk; behavioral finance; agent-based model; financial crisis;
    All these keywords.

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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