Skip to main content

The Global Financial Markets: An Ultra-Large-Scale Systems Perspective

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7539))

Abstract

We argue here that, in recent years, the world’s financial markets have become a globally interconnected complex adaptive ultra-large-scale socio-technical system-of-systems, and that this has important consequences for how the financial markets should be engineered and managed in future. Major failures in the financial markets can now occur at super-human speeds, as was witnessed in the “Flash Crash” of May 6th 2010. Events such as the Flash Crash may become more commonplace in future, unless lessons are learned from other fields where complex adaptive socio-technical systems-of-systems have to be engineered for high-integrity, safety-critical applications. In this document we review the literature on failures in risky technology and high-integrity approaches to safety-critical SoS engineering. We conclude with an argument that, in the specific case of the global financial markets, there is an urgent need to develop major national strategic modeling and predictive simulation capabilities, comparable to national-scale meteorological monitoring and modeling capabilities. The intent here is not to predict the price-movements of particular financial instruments or asset classes, but rather to provide test-rigs for principled evaluation of systemic risk, estimating probability density functions over spaces of possible outcomes, and thereby identifying potentially high-consequence failure modes in the simulations, before they occur in real life, by which time it is typically too late.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abbot, M., Fisher, M.: The Art of Scalability: Scalable Web Architecture, Processes, and Organizations for the Modern Enterprise. Addison-Wesley (2009)

    Google Scholar 

  2. Alexander, R., Kazakov, D., Kelly, T.: System of Systems Hazard Analysis Using Simulation and Machine Learning. In: Górski, J. (ed.) SAFECOMP 2006. LNCS, vol. 4166, pp. 1–14. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  3. Alexander, R.: Using Simulation for Systems of Systems Hazard Analysis. PhD Thesis, Department of Computer Science, University of York, UK (2007)

    Google Scholar 

  4. Anderson, P., Arrow, K., Pines, D. (eds.): The Economy as an Evolving Complex System. Addison-Wesley (1989)

    Google Scholar 

  5. Angel, J.: Opening Remarks at SEC Roundtable on Shortselling (May 5, 2009a), http://www.sec.gov/comments/4-581/4581-2.pdf

  6. Angel, J.: Letter to the Securities and Exchange Commission (June 19, 2009b), http://www.sec.gov/comments/s7-08-09/s70809-3758.pdf

  7. Angel, J.: Letter to the Securities and Exchange Commission (September 21, 2009c), http://www.sec.gov/comments/s7-08-09/s70809-4658.pdf

  8. Angel, J., Harris, L., Spratt, C.: Trading in the 21st Century (2010) (unpublished manuscript), http://www.sec.gov/comments/s7-02-10/s70210-54.pdf

  9. Angel, J.: Letter to the Securities and Exchange Commission (April 30, 2010a), http://www.sec.gov/comments/s7-02-10/s70210-172.pdf

  10. Angel, J.: Testimony to the US Senate (December 8, 2010b), http://msb.georgetown.edu/story/1242666871500.html

  11. Apostolakis, G.: How Useful is Quantitative Risk Analysis? Risk Analysis 24(3), 515–520 (2004)

    Article  Google Scholar 

  12. Arthur, B.: The Nature of Technology: What it is and how it evolves. Allen Lane (2009)

    Google Scholar 

  13. Arthur, B., Morrison, V., Durlauf, S., Lane, D. (eds.): The Economy as an Evolving Complex System II. Addison Wesley (1997)

    Google Scholar 

  14. Axelrod, R., Cohen, M.: Harnessing Complexity: Organizational Implications of a Scientific Frontier. Free Press (2000)

    Google Scholar 

  15. Bar-Yam, Y.: Making Things Work: Solving Complex Problems in a Complex World. Knowledge Press (2005)

    Google Scholar 

  16. Baxter, G., Sommerville, I.: Socio-technical Systems: From design methods to systems engineering. Interacting with Computers 23(1), 4–17 (2010)

    Article  Google Scholar 

  17. Benveniste, A., Fabre, E., Haar, S.: Markov Nets: Probabilistic Models for Distributed and Concurrent Systems. IEEE Transactions on Automatic Control 48(11), 1936–1950 (2003)

    Article  MathSciNet  Google Scholar 

  18. Beinhocker, E.: The Origin of Wealth: Evolution, Complexity, and the Radical Remaking of Economics. Harvard Business School Press (2007)

    Google Scholar 

  19. Blas, J.: High-speed trading blamed for sugar rises. The Financial Times (February 8, 2011), http://www.ft.com/cms/s/0/05ba0b60-33d8-11e0-b1ed-00144feabdc0.html#axzz1JIx0tWXK

  20. Blumberg, B.: Old Tricks, New Dogs: Ethology and Interactive Creatures. Ph.D. Thesis, MIT Media Lab. (1996)

    Google Scholar 

  21. Blume, L., Durlaf, S.: The Economy as an Evolving Complex System, III. Addison-Wesley (2005)

    Google Scholar 

  22. Bonen, Z.: Evolutionary Behavior of Complex Socio-Technical Systems. Working Paper #1056-79. Alfred P. Sloan School of Management, MIT (1979)

    Google Scholar 

  23. Bonisch, P., Di Giammarino, P.J.: Achieving Supervisory Control of Systemic Risk. Report jointly produced by UK Financial Services Knowledge Transfer Network, JWG, and Paradigm Risk (October 2010), http://www.jwg-it.eu/library.php?typeId=11

  24. Bootle, R.: The Trouble with Markets: Saving Capitalism from Itself. Nicholas Brealey Publishing (2009)

    Google Scholar 

  25. Braha, D., Minai, A., Bar-Yam, Y.: Complex Engineered Systems: Science Meets Technology. Springer (2006)

    Google Scholar 

  26. Bullock, S.: Prospects for Large-Scale Financial Systems Simulation. Driver Review DR14, Foresight Project on the Future of Computer Trading in the Financial Markets. UK Government Office for Science (2011), http://www.bis.gov.uk/assets/foresight/docs/computer-trading/11-1233-dr14-prospects-for-large-scale-financial-systems-simulation.pdf

  27. Byde, A.: Applying Evolutionary Game Theory to Auction Mechanism Design. In: Proceedings of the 2003 ACM Conference on E-Commerce, pp. 192–193 (2003)

    Google Scholar 

  28. Calinescu, R., Kwiatkowska, M.: Software Engineering Techniques for the Development of Systems of Systems. In: Choppy, C., Sokolsky, O. (eds.) Monterey Workshop 2008. LNCS, vol. 6028, pp. 59–82. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  29. Calinescu, R., Kikuchi, S., Kwiatkowska, M.: Formal Methods for the Development and Verification of Autonomic IT Systems. In: Cong-Vinh, P. (ed.) Formal and Practical Aspects of Autonomic Computing and Networking: Specification, Development and Verification. IGI Global (2010) (to appear)

    Google Scholar 

  30. Cartlidge, J., Bullock, S.: Combating Coevolutionary Disengagement by Reducing Parasite Virulence. Evolutionary Computation 12(2), 193–222 (2004)

    Article  Google Scholar 

  31. CFTC & SEC. Preliminary Findings Regarding the Market Events of May 6, 2010. Report of the staffs of the CFTC and SEC to the Joint Advisory Committee on Emerging Regulatory issues (May 18, 2010a), http://www.sec.gov/sec-cftc-prelimreport.pdf

  32. CFTC & SEC. Findings Regarding the Market Events of May 6, 2010. Report of the staffs of the CFTC and SEC to the Joint Advisory Committee on Emerging Regulatory issues (September 30, 2010b), http://www.sec.gov/news/studies/2010/marketevents-report.pdf

  33. CFTC & SEC. Recommendations Regarding Regulatory Responses to the Market Events of May 6, 2010. Summary Report of the Joint CFTC and SEC Advisory Committee on Emerging Regulatory issues (February 18, 2011)

    Google Scholar 

  34. Challet, D., Marsili, M., Zhang, Y. (eds.): Minority Games: Interacting agents in financial markets. OUP (2004)

    Google Scholar 

  35. Chilton, B.: Stopping Stammering: Overcoming Obstacles in Financial Regulatory Reform. In: Speech of Commissioner Bart Chilton to the Goldman Sachs Global Commodity Conference, London (2011), http://www.cftc.gov/pressroom/speechestestimony/opachilton-43.html

  36. Cliff, D., Keen, J., Kwiatkowska, M., McDermid, J., Sommerville, I.: Large Scale Complex IT Systems (LSCITS) Research Programme. Research proposal to the UK Engineering and Physical Sciences Research Council (2006), http://lscits.cs.bris.ac.uk/docs/LSCITSproposalRP1.pdf (submitted December 2006, commenced April 2007)

  37. Cliff, D.: Minimal-intelligence agents for bargaining behaviors in market- based environments. Technical Report HPL-97-91, Hewlett Packard Labs (1997)

    Google Scholar 

  38. Cliff, D., Bruten, J.: Animat Market-Trading Interactions as Collective Social Adaptive Behavior. Adaptive Behavior 7(3&4), 385–414 (1999)

    Article  Google Scholar 

  39. Cliff, D.: Explorations in evolutionary design of online auction market mechanisms. Journal of Electronic Commerce Research and Applications 2(2), 162–175 (2003)

    Article  MathSciNet  Google Scholar 

  40. Cliff, D., Miller, G.: Visualising Coevolution with CIAO plots. Artificial Life 12(2), 199–202 (2006)

    Article  Google Scholar 

  41. Cliff, D.: ZIP60: Further Explorations in the Evolutionary Design of Trader Agents and Online Auction-Market Mechanisms. IEEE Transactions on Evolutionary Computation 13(1), 3–18 (2009)

    Article  Google Scholar 

  42. Cliff, D.: Networked Governance in the Financial Markets. Foresight strategic briefing paper, for UK Government Office of Science & Technology, Department of Business, Innovation, and Skills (2010), http://www.cs.bris.ac.uk/home/dc/Foresight_NetGov_v2a.pdf

  43. Cliff, D., Brown, D., Treleaven, P.: Technology Trends in the Financial Markets: A 2020 Vision. Driver Review DR3, Foresight Project on the Future of Computer Trading in the Financial Markets. UK Government Office for Science (2011), http://www.bis.gov.uk/assets/foresight/docs/computer-trading/11-1222-dr3-technology-trends-in-financial-markets.pdf

  44. Clymer, J.: Simulation-Based Engineering of Complex Systems, 2nd edn. Wiley-Blackwell (2009)

    Google Scholar 

  45. Colander, D., Föllmer, H., Haas, A., Goldberg, M., Juselius, K., Kirman, A., Lux, T., Sloth, B.: The Financial Crisis and the Systemic Failure of Academic Economics. Kiel Working Paper 1489, Kiel Institute for the World Economy (2009)

    Google Scholar 

  46. Collingridge, D.: The Management of Scale: Big Organizations, Big Decisions, Big Mistakes. Routeledge (1992)

    Google Scholar 

  47. Darley, V., Outkin, A.: A NASDAQ Market Simulation: Insights on a Major Market from the Science of Complex Adaptive Systems. World Scientific (2007)

    Google Scholar 

  48. Das, R., Hanson, J., Kephart, J., Tesauro, G.: Agent-Human Interactions in the Continuous Double Auction. In: Proceedings IJCAI 2001 (2001)

    Google Scholar 

  49. De Laurentis, D., Dickerson, C., DiMario, M., Gartz, P., Jamshidi, M., Nahavandi, S., Sage, A., Sloane, E., Walker, D.: A Case for an International Consortium on System-of-Systems Engineering. IEEE Systems Journal 1(1), 68–73 (2007)

    Article  Google Scholar 

  50. De Laurentis, D., Han, E.: System-of-Systems Simulation for Analyzing the Evolution of Air Transportation. In: Proceedings of the 25th International Congress of the Aeronautical Sciences, pp. 1–10 (2006)

    Google Scholar 

  51. Demos, T.: US panel on flash crash urges rule changes. The Financial Times (February 18, 2011a), http://www.ft.com/cms/s/0/417134ea-3b84-11e0-9970-00144feabdc0.html#axzz1EOx4E4Gg

  52. Demos, T.: Quick View: Blown away by the flash crash report. The Financial Times (February 19, 2011b), http://www.ft.com/cms/s/0/bf6017b0-3baa-11e0-a96d-00144feabdc0.html#axzz1EOx4E4Gg

  53. Demos, T.: Plans to avert ‘flash crash” draw opposition. The Financial Times (March 22, 2011c), http://www.ft.com/cms/s/0/3a3e52a0-54a9-11e0-b1ed-00144feab49a.html#axzz1Ht6fUrUu

  54. Despotou, G.: Managing the Evolution of Dependability Cases for Systems of Systems. PhD Thesis, Department of Computer Science, University of York, UK (2007)

    Google Scholar 

  55. Dewar, J., Bankes, S., Hodges, J., Lucas, T., Saunders-Newton, D., Vye, P.: Credible Uses of the Distributed Interactive Simulation (DIS) System. Technical Report MR-607-A, RAND (1996)

    Google Scholar 

  56. Dezfuli, H., et al.: Bayesian Inference for NASA Probabilistic Risk and Reliability Analysis. NASA SP-2009-569 (2009), http://www.hq.nasa.gov/office/codeq/doctree/SP2009569.pdf

  57. Dorner, D.: The logic of failure. Philosophical Transactions of the Royal Society of London, Series B 327(1241), 463–473 (1990)

    Article  Google Scholar 

  58. Dorner, D.: The Logic of Failure: Recognizing and Avoiding Error in Complex Situations. Perseus (1997)

    Google Scholar 

  59. Easley, D., Lopez de Prado, M., O’Hara, M.: The Microstructure of the Flash Crash: Flow Toxicity, Liquidity Crashes and the Probability of Informed Trading. The Journal of Portfolio Management 37(2), 118–128 (2011)

    Article  Google Scholar 

  60. Economist. Agents of Change. The Economist 396(8692), 76 (2010) (Note that The Economist has a standard policy of not showing author bylines for articles written by regular staff journalists)

    Google Scholar 

  61. Eder, K., Flach, P.A., Hsueh, H.-W.: Towards Automating Simulation-Based Design Verification Using ILP. In: Muggleton, S., Otero, R., Tamaddoni-Nezhad, A. (eds.) ILP 2006. LNCS (LNAI), vol. 4455, pp. 154–168. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  62. Epstein, J., Axtell, R.: Growing Artificial Societies: Social Science from the Bottom Up. MIT Press (1996)

    Google Scholar 

  63. Epstein, J.: Generative Social Science: Studies in Agent-Based Computational Modelling. Princeton University Press (2007)

    Google Scholar 

  64. Farmer, D., Foley, D.: The economy needs agent-based modeling. Nature 460, 685–686 (2009)

    Article  Google Scholar 

  65. Farmer, D., Skouras, S.: An ecological perspective on the future of computer trading. Driver Review DR6, Foresight Project on the Future of Computer Trading in the Financial Markets. UK Government Office for Science (2011), http://www.bis.gov.uk/assets/foresight/docs/computer-trading/11-1225-dr6-ecological-perspective-on-future-of-computer-trading.pdf

  66. Flinders, K.: The Evolution of Stock Market Technology. Computer Weekly (November 2, 2007), http://www.computerweekly.com/Articles/2007/11/02/227883/The-evolution-of-stock-market-technology.htm

  67. Funes, P., Pollack, J.: Computer Evolution of Buildable Objects. In: Bentley, P. (ed.) Evolutionary Design by Computers, ch. 17. Morgan Kauffman (1999)

    Google Scholar 

  68. Galas, M., Brown, D., Treleaven, P.: ATRADE Platform: Algorithmic Trading & Risk Analytics Development Environment. Unpublished manuscript, Department of Computer Science, University College London (2010), http://fc.cs.ucl.ac.uk/mscfc/virtual-trading-floor

  69. Gjerstad, S., Dickhaut, J.: Price Formation in Double Auctions. Games and Economic Behavior 22, 1–29 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  70. Grant, J.: Quick View: US looks at European-style circuit breakers. The Financial Times (May 19, 2010), http://cachef.ft.com/cms/s/0/139ddd44-6325-11df-99a5-00144feab49a.html#axzz1Ij5j9zds

  71. Goldberg, D.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley (1987)

    Google Scholar 

  72. Gorton, G.: Slapped by the Invisible Hand: The Panic of 2007. OUP (2010)

    Google Scholar 

  73. Goth, G.: Ultralarge Systems: Redefining Software Engineering? IEEE Software 25(3), 91 (2008)

    Article  Google Scholar 

  74. Gray, J.: On eScience: A Transformed Scientific Method. In: Hey, T., Tansley, S., Tolle, K. (eds.) The Fourth Paradigm: Data-Intensive Scientific Discovery, pp. xvii–xxxi. Microsoft Press (2009)

    Google Scholar 

  75. Haccou, P., Meelis, E.: Statistical Analysis of Behavioral Data: An Approach Based on Time-Structured Models. Oxford University Press (1994)

    Google Scholar 

  76. Haldane, A.: Rethinking the Financial Network. Text of a speech given at the Financial Student Association, Amsterdam (April 2009), http://www.bankofengland.co.uk/publications/speeches/2009/speech386.pdf

  77. Haldane, A., May, R.: Systemic risk in banking ecosystems. Nature 469, 351–355 (2011)

    Article  Google Scholar 

  78. Hall-May, M.: Ensuring Safety of Systems of Systems. PhD Thesis, Department of Computer Science, University of York, UK (2007)

    Google Scholar 

  79. Harford, T.: What we can learn from a nuclear reactor? The Financial Times (January 14, 2011), http://www.ft.com/cms/s/2/cea7b256-1def-11e0-badd-00144feab49a.html#axzz1DN62IXnB

  80. Harman, D., Bar-Yam, Y.: Technical Report on SEC Uptick Repeal Pilot. NECSI Technical Report 2008-11, New England Complex Systems Initiative (2008)

    Google Scholar 

  81. Hillis, D.: Co-evolving parasites improve simulated evolution as an optimization procedure. Physica D 42, 228–234 (1990)

    Article  Google Scholar 

  82. Hodgson, G.: Economics and Evolution: Bringing life back into economics. Polity Press (1993)

    Google Scholar 

  83. Hollnagel, E., Woods, D., Leveson, N. (eds.): Resilience Engineering: Concepts and Precepts. Ashcroft (2006)

    Google Scholar 

  84. Hopkins, R., Jenkins, K.: Eating the IT Elephant: Moving from Greenfield Development to Brownfield. IBM Press (2008)

    Google Scholar 

  85. Horswill, I.: Very Fast Action Selection for Parameterized Behaviors. In: Proceedings of the Fifth International Conference on Foundations of Digital Games (FDG 2009), Orlando (2009)

    Google Scholar 

  86. Hsueh, H., Eder, K.: Test Directive Generation for Functional Coverage Closure Using Inductive Logic Programming. In: Proc. IEEE International High Level Design Validation and Test Workshop (HLDVT), pp. 11–18 (2006)

    Google Scholar 

  87. Hubbard, D.: The Failure of Risk Management. Why It’s Broken and How to Fix It. John Wiley (2009)

    Google Scholar 

  88. Institute for International Finance. Interim Report of the IIF Committee on Market Best Practices (April 2008), http://www.iif.com/download.php?id=SDzcEc8juCI=://

  89. Ivanov, Y.: State Discovery for Autonomous Learning. Ph.D. Thesis, MIT Media Lab. (2002)

    Google Scholar 

  90. Johnson, C.: Lessons from the Evacuation of the World Trade Center, September 11, 2001, for the Future Development of Computer Simulations. Cognition, Technology, & Work 7, 214–240 (2005)

    Article  Google Scholar 

  91. Johnson, C.: Using Evacuation Simulations to Ensure the Safety and Security of the 2012 Olympic Venues. Safety Science 46(2), 302–322 (2008)

    Article  Google Scholar 

  92. Johnson, C., Nilsen-Nygaard, L.: Extending the Use of Evacuation Simulators to Support Counter-Terrorism: Using Models of Human Behaviour to Coordinate Emergency Responses to Improvised Explosive Devices. In: Simmons, R., Mohan, D., Mullane, M. (eds.) Proceedings of the 26th International Conference on Systems Safety (2008)

    Google Scholar 

  93. Johnson, C.: The Application of Computational Models for the Simulation of Large-Scale Evacuations Following Infrastructure Failures and Terrorist Incidents. In: Proceedings of NATO Research Workshop on Computational Models of Risk to Infrastructure, May 9-13. NATO (2006)

    Google Scholar 

  94. Johnson, N., Jefferies, P., Hui, P. (eds.): Financial Market Complexity. OUP (2003)

    Google Scholar 

  95. Johnson, N.: Proposing Policy by Analogy is Risky. Nature 469, 302 (2011)

    Article  Google Scholar 

  96. Kearns, M., Ortiz, L.: The Penn-Lehman Automated Trading Project. IEEE Intelligent Systems, 22–31 (November/December 2003)

    Google Scholar 

  97. Kewley, R., Tolk, A.: A Systems Engineering Process for Development of Federated Simulations. In: SpringSim 2009: Proceedings of the 2009 Spring Simulation Multiconference. Society for Computer Simulation International (2009)

    Google Scholar 

  98. Kindleberger, C.: Manias, Panics, and Crises: A History of Financial Crises. John Wiley (2001)

    Google Scholar 

  99. LeBaron, B.: Agent Based Computational Finance: Suggested Readings and Early Research. Journal of Economic Dynamics and Control 24, 679–702 (2000)

    Article  MATH  Google Scholar 

  100. LeBaron, B., Arthur, B., Palmer, R.: The Time Series Properties of an Artificial Stock Market. Journal of Economic Dynamics and Control 23, 1487–1516 (1999)

    Article  MATH  Google Scholar 

  101. Levy, M., Levy, H., Solomon, S.: Microscopic Simulation of the Financial Markets: From Investor Behavior to Market Phenomena. Academic Press (2000)

    Google Scholar 

  102. Lewis, M.: The Big Short: Inside the Doomsday Machine. Allen Lane (2010)

    Google Scholar 

  103. Lorenz, E.: Deterministic Nonperiodic Flow. Journal of Atmospheric Science 20, 130–141 (1963)

    Article  Google Scholar 

  104. Lorenz, K.: On Aggression. Routledge Classics (1966/2002)

    Google Scholar 

  105. MacKenzie, D.: An Engine, Not a Camera: How Financial Models Shape Markets. MIT Press (2008a)

    Google Scholar 

  106. MacKenzie, D.: Material Markets: How Economic Agents are Constructed. Oxford University Press (2008b)

    Google Scholar 

  107. MacKenzie, D., et al. (eds.): Do Economists Make Markets? On the Performativity of Economics. Princeton University Press (2008)

    Google Scholar 

  108. Maier, M.: Architecting Principles for Systems of Systems. Systems Engineering 1(4), 267–284 (1998)

    Article  Google Scholar 

  109. May, R., Levin, S., Sugihara, G.: Ecology for Bankers. Nature 451, 893–895 (2008)

    Article  Google Scholar 

  110. Meerman, M., et al.: Money and Speed: Inside the Black Box. Documentary produced by VPRO (Dutch public broadcaster) (2011), available as an iPad application http://itunes.apple.com/us/app/money-speed-inside-black-box/id424796908?mt=8&ls=1

  111. Metcalfe, M.: Strategic knowledge sharing: a small-worlds perspective. In: Hart, D., Gregor, S. (eds.) Information System Foundations: Constructing and Criticizing, Australian National University Press (2005)

    Google Scholar 

  112. Mitchell, M.: Complexity: A Guided Tour. OUP (2009)

    Google Scholar 

  113. Mullane, R.: Riding Rockets: The Outrageous Tales of a Space-Shuttle Astronaut. Simon & Schuster (2006)

    Google Scholar 

  114. Nelson, R., Winter, S.: An Evolutionary Theory of Economic Change. Harvard University Press (1982)

    Google Scholar 

  115. Northrop, L., et al.: Ultra-Large-Scale Systems: The Software Challenge of the Future. Technical Report. Carnegie Mellon University Software Engineering Institute (2006)

    Google Scholar 

  116. Ormerod, P.: Butterfly Economics: A New General Theory of Economic and Social Behaviour. Faber (1998)

    Google Scholar 

  117. Ormerod, P.: Why Most Things Fail: Evolution, Extinction, & Economics. Faber (2006)

    Google Scholar 

  118. Palmer, R., Arthur, B., Holland, J., LeBaron, B., Tayler, P.: Artificial economic life: a simple model of a stockmarket. Physica D: Nonlinear Phenomena 75(1-3), 264–274 (1994)

    Article  MATH  Google Scholar 

  119. Parry, G.: The Characterization of Uncertainty in Probabilistic Risk Assessments of Complex Systems. Reliability Engineering and System Safety 54, 119–126 (1996)

    Article  Google Scholar 

  120. Parisi, C., Sahin, F., Jamshidi, M.: A discrete event XML based system of systems simulation for robust threat detection and integration. In: Proc. 2008 IEEE International Conference on System of Systems Engineering (2008)

    Google Scholar 

  121. Perrow, C.: Normal Accidents: Living with High-Risk Technologies. Basic Books, New York (1984)

    Google Scholar 

  122. Phelps, S., McBurney, P., Parsons, S., Sklar, E.: Co-evolutionary Auction Mechanism Design: A Preliminary Report. In: Padget, J., Shehory, O., Parkes, D., Sadeh, N., Walsh, W.E. (eds.) AMEC 2002. LNCS (LNAI), vol. 2531, pp. 123–142. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  123. Phelps, S., McBurney, P., Parsons, S.: Evolutionary Mechanism Design: A Review. Autonomous Agents and Multi-Agent Systems 21(2), 237–264 (2010)

    Article  Google Scholar 

  124. Polack, F., Andrews, P., Sampson, A.: The Engineering of Concurrent Simulations of Complex Systems. In: Proc. 2009 IEEE Congress on Evolutionary Computation, pp. 217–224 (2009)

    Google Scholar 

  125. Polack, F., Andrews, P., Ghetiu, T., Read, M., Stepney, S., Timmis, J., Sampson, A.: Reflections on the Simulation of Complex Systems for Science. In: Proc. International Conference on Engineering of Complex Computer Systems (ICECCS 2010), pp. 276–285. IEEE Press (2010)

    Google Scholar 

  126. Polacek, G., Verma, D.: Requirements Engineering for Complex Systems: Principles vs. Rules. In: Proceedings of the Seventh Annual Conference on Systems Engineering Research, CSER 2009 (2009)

    Google Scholar 

  127. Reason, J.: The Human Contribution: Unsafe Acts, Accidents, and Heroic Recoveries. Ashgate (2008)

    Google Scholar 

  128. Rittel, H., Webber, M.: Dilemmas in a General Theory of Planning. Policy Sciences 4, 155–169 (1973)

    Article  Google Scholar 

  129. Roberts, K.: Some Characteristics of One Type of High Reliability Organization. Organization Science 1(2), 160–176 (1990)

    Article  Google Scholar 

  130. Rooksby, J., Rouncefield, M., Sommerville, I.: Testing in the Wild: The Social and Organisational Dimensions of Real-World Practice. Journal of Computer Supported Cooperative Work 18(5-6), 559–580 (2009)

    Article  Google Scholar 

  131. Salmon, F.: Algorithmic trading and market-structure tail risks. Reuters (January 13, 2011), http://blogs.reuters.com/felix-salmon/2011/01/13/algorithmic-trading-and-market-structure-tail-risks/

  132. Schelling, T.: Dynamic Models of Segregation. Journal of Mathematical Sociology 1, 143–186 (1971)

    Article  Google Scholar 

  133. Sheard, S., Mostashari, A.: Principles of Complex Systems for Systems Engineering. Systems Engineering 12(4), 295–311 (2008)

    Article  Google Scholar 

  134. Sillitto, H.: Design Principles for Ultra-Large-Scale Systems (2010) (unpublished draft manuscript)

    Google Scholar 

  135. Sims, K.: Evolving 3D Morphology and Behavior by Competition. In: Brooks, R., Maes, P. (eds.) Artificial Life IV Proceedings, pp. 28–39. MIT Press (1994)

    Google Scholar 

  136. Sloan, S.: Simulating Terrorism. University of Oklahoma Press (1981)

    Google Scholar 

  137. Slovik, P.: Trust, Emotion, Sex, Politics, and Science: Surveying the Risk-Assessment Battlefield. Risk Analysis 19(4), 689–701 (1999)

    Google Scholar 

  138. Smith, L.: Accountability and Error in Ensemble Forecasting (1995) (manuscript), http://people.maths.ox.ac.uk/lenny/ecmwf96.pdf

  139. Smith, L.: What might we learn from climate forecasts? Proceedings of the National Academy of Sciences of the United States of America 99, 2487–2492 (2002)

    Article  Google Scholar 

  140. Stamatelatos, M., et al.: Probabilistic Risk Assessment Procedures Guide for NASA Managers and Practitioners. V1.1 (2002a), www.hq.nasa.gov/office/codeq/doctree/praguide.pdf

  141. Stamatelatos, M., et al.: Fault Tree Handbook with Aerospace Applications. Version 1.1. (2002b), http://www.hq.nasa.gov/office/codeq/doctree/fthb.pdf

  142. Sommerville, I., Cliff, D., Calinescu, R., Keen, J., Kelly, T., Kwiatkowska, M., McDermid, J., Paige, R.: Large-Scale Complex IT Systems. Communications of the ACM (July 2012)

    Google Scholar 

  143. Sornette, D.: Why Stock Markets Crash: Critical Events in Complex Financial Systems. Princeton University Press (2002)

    Google Scholar 

  144. Steiner, C.: Did We Dodge Another Flash Crash on September 1? (2010) Forbes blog, http://blogs.forbes.com/christophersteiner/2010/09/02/did-we-just-dodge-another-flash-crash-yesterday/

  145. Stephens, C., Waelbroeck, H.: Algorithm Switching: Co-Adaptation in the Market Ecology. Journal of Trading, 1–15 (Summer 2009)

    Google Scholar 

  146. Stuermer, P., Bucci, A., Branke, J., Funes, P., Popovici, E.: Analysis of coevolution for worst-case optimization. In: Proceedings GECCO 2009, the 11th Annual Conference on Genetic and Evolutionary Computation (2009)

    Google Scholar 

  147. Taleb, N.: The Black Swan: The Impact of the Highly Improbable. Allen Lane (2007)

    Google Scholar 

  148. Tesfatsion, L., Judd, K. (eds.): The Handbook of Computational Economics. Agent-Based Computational Economics, vol. 2. North-Holland (2006)

    Google Scholar 

  149. Tett, G.: Fool’s Gold: How Unrestrained Greed Corrupted a Dream, Shattered Global Markets, and Unleashed a Catastrophe. Little, Brown (2009)

    Google Scholar 

  150. Tomlinson, B., Blumberg, B.: Social Synthetic Characters. Computer Graphics 26(2) (2002)

    Google Scholar 

  151. Tuinenga, P.: SPICE: A Guide to Circuit Simulation and Analysis Using PSpice. Prentice Hall (1988)

    Google Scholar 

  152. Turkle, S.: Simulation and its Discontents. MIT Press (2009)

    Google Scholar 

  153. Valerdi, R., Axelband, E., Baehren, T., Boehm, B., Dorenbos, D., Jackson, S., Madni, A., Nadler, G., Robitaille, P., Settles, S.: A research agenda for systems of systems architecting. International Journal of System of Systems Engineering 1(1&2), 171–188 (2008)

    Article  Google Scholar 

  154. Vaughan, D.: The Challenger Launch Decision: Risky Technology, Culture and Deviance at NASA. University of Chicago Press (1997)

    Google Scholar 

  155. Vaughan, D.: On Slippery Slopes, Repeating Negative Patterns, and Learning from Mistakes. In: Starbuck, W., Farjoun, M. (eds.) Organization at the Limit: Lessons from the Columbia Disaster, pp. 262–275. Wiley Blackwell (2005)

    Google Scholar 

  156. Vaughan, D.: NASA Revisited: Theory, Analogy and Public Sociology. American Journal of Sociology 112(2), 353–393 (2006)

    Article  Google Scholar 

  157. Vytelingum, K., Cliff, D., Jennings, N.: Strategic bidding in continuous double auctions. Artificial Intelligence 172(13), 1700–1729 (2008)

    Article  MATH  Google Scholar 

  158. Waldrop, M.: Complexity: The Emerging Science at the Edge of Order and Chaos. Simon & Schuster (1992)

    Google Scholar 

  159. Walsh, W., Das, R., Tesauro, G., Kephart, J.: Analyzing Complex Strategic Interactions in Multi-Agent Games. In: Proceedings of AAAI 2002 Game Theoretic and Decision Theoretic Agents Workshop, Edmonton, Canada (2002)

    Google Scholar 

  160. Weick, K., Sutcliffe, K.: Managing the Unexpected. Jossey Bass (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cliff, D., Northrop, L. (2012). The Global Financial Markets: An Ultra-Large-Scale Systems Perspective. In: Calinescu, R., Garlan, D. (eds) Large-Scale Complex IT Systems. Development, Operation and Management. Monterey Workshop 2012. Lecture Notes in Computer Science, vol 7539. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34059-8_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34059-8_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34058-1

  • Online ISBN: 978-3-642-34059-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics