Dr. Klaus Pinn

Institut für Theoretische Physik I

pinn@uni-muenster.de
 

Seminar EconoPhysics WS 98/99

Di  14.00-15.30, SR 303, TPI

Kontakt: K. Pinn, Rm 301, Tel. 83-34948, Chr. Specjalski, Rm 412, Tel. 83-34921


Mehr und mehr Physiker wenden Methoden aus der Statistischen Mechanik und anderen Gebieten der Physik auf die Modellierung ökonomischer Probleme an. Anhand von Vorträgen über ausgewählte Originalarbeiten soll ein Eindruck dieses interessanten Forschungsgebiets vermittelt werden.
 

                                              ``S&P 500 Index Exchange Floor''


  13.10.  Vorbesprechung, Themenvergabe
  20.10.    1 ACE 1:  Stable Marriage Problem (Christel Kamp), Skript
  27.10.    ACE 2:  Minority Game (Leo Groß)
  03.11.    Portfolio-Optimierung (Daniel Rudolph)
  10.11.    ACE 3:  LLS-Modell (Daniel Molenda)
  17.11.    RISK 1: Binomialmodell für Optionspreise und Hedging (Andre Ewering), Skript
  24.11.    RISK 2: Black-Scholes (Tobias Galla),   SkriptFolien
  01.12.    RISK 3: Beyond Black-Scholes (Jörn Voigt),  Folien
  08.12.    RISK 4: Optionspreise mit Neuronalen Netzen (Jens Fischer),   Skript , Folien
  15.12.    SCAL 1:  Random Walks und alpha-stabile Verteilungen (Felix Zantow)
  22.12.  10  SCAL 2: Statistische Eigenschaften von Returns (Timo Kellmann, Roman Schmidt)
  12.01.  11  SCAL 3: Modelle für Markt-Returns (Martin Jansen)
  19.01.  12  Booms and Crashes (Andreas Schmitz)
  26.01.  13  Gauge Theory of Finance (Florian Heitger)
  02.02.  14  Diskussion, Kritik, Vorbesprechung für das nächste Semester


Arbeitsmaterial

1) Stable Marriage Problem
  • Scaling Behavior in the Stable Marriage Problem, M.J. Omero et al., cond-mat/9708181

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    2) El Farol Bar-Problem  und das Minority Game

  • Inductive Reasoning and Bounded Rationality (The El Farol Problem), W.B. Arthur,  html
  • Emergence of Cooperation and Organization in an Evolutionary Game, D. Challet, Y.-C. Zhang,   adap-org/9708006
  • Adaptive Competition, Market Efficiency, Phase Transitions and Spin-Glasses, R. Savit, R. Manuca, R. Riolo,   adap-org/9712006
  • On the Minority Game : Analytical and Numerical Studies,  D. Challet, Y.-C. Zhang,  cond-mat/9805084
  • Vortrag im Forschungsseminar SS 98, J. Göttker-Schnetmann, K. Pinn

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    3) Portfolio-Optimierung

  • Optimal Lag in Dynamical Investments, Maurizio Serva,  cond-mat/9810091

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    4) LLS-Modell

  • Microscopic Simulation of the Stock Market: the Effect of Microscopic Diversity, M. Levy, H. Levy, S. Solomon, J. Phys. I (France) 5 (1995)  1087
  • The Complex Dynamics of a Simple Stock Market Model, Int. Journ. of High Speed Computing 8 (1996) 93

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    5) Binomialmodell für Optionspreise und Hedging

  • Chapter 2 in: Financial Calculus, An introduction to derivative pricing, M. Baxter, A. Rennie, Cambridge University Press (ca. 84 DM)

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    6) Black-Scholes

  • Options, Futures, and other Derivative Securities, J. Hull, Prentice Hall, 1989 (teuer)
  • The Mathematics of Financial Derivatives, P. Wilmott, S. Howison, J. Dewynne, Cambridge University Press (ca. 50 DM)
  • Financial Calculus, An introduction to derivative pricing, M. Baxter, A. Rennie, Cambridge University Press (ca. 84 DM)

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    7) Beyond Black-Scholes

  • The Black-Scholes option pricing problem in mathematical finance: generalization and extensions for a large class of stochastic processes, J.P. Bouchaud, D. Sornette, J. Phys. I France 4 (1994) 863
  • L. Mikheev, J. Phys. I France 5 (1995) 217 (Kommentar zu Bouchaud Sornette)
  • J.P. Bouchaud, J. Phys. I France 5 (1995) 219 (Antwort darauf)

  • Back to basics: historical option pricing revisited, J.P. Bouchaud, M. Potters,  cond-mat/9808206

    8) Optionspreise mit Neuronalen Netzen
    J.M. Hutchinson et al., A Nonparametric Approach to Pricing and Hedging Derivative
    Securities Via Learning Networks,  cbcl-publications.html
     

    9) Grenzwertverteilungen
  • Anomalous Diffusion in Disordered Media: Statistical Mechanisms, Models and Physical Applications, J.-P.  Bouchaud, A. Georges, Phys. Rep. 195 (1990) 127

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    10) Statistische Eigenschaften von Returns

  • Inverse Cubic Law for the Distribution of Stock Price Variations, P. Gopikrishnan et al.,   cond-mat/9803374
  • New Evidence for the power-law distribution of wealth, M. Levy, S. Solomon, Physica A 242 (1997) 90

  • Volatility distribution in the S&P500 Stock Index, P. Cizeau et al., cond-mat/9708143

    11) Mikroskopische Marktmodelle und Skalenverhalten

  • Interacting Individuals Leading to Zipf's Law, M. Marsili, Y.-C. Zhang ,   cond-mat/9801289
  • Multiplicative processes and power laws, D. Sornette,  cond-mat/9708231

  • Stochastic Lotka-Volterra Systems of Competing Autocatalytic Agents Lead Generically to Truncated Pareto Power Wealth Distribution, Truncated Levy Distribution of Market Returns, Clustered Volatility, Booms and Crashes, S. Solomon,  Computational Finance 97,   Sorin Solomon's home page , Agay's Tutorial
  • Scaling and Correlation in Financial Data, R. Cont,  cond-mat/9705075
  • Scaling in stock market data: stable laws and beyond,  R. Cont, M. Potters, J.-P. Bouchaud,  cond-mat/9705087

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    12) Booms and Crashes

  • Are Financial Crashes Predictable?, L. Laloux et al.,  cond-mat/9804111
  • Large financial crashes, Didier Sornette, Anders Johansen,  cond-mat/9704127
  • Stock market crashes are outliers, A. Johansen, D. Sornette,  cond-mat/9712005
  • Discrete scale invariance and complex dimensions, D. Sornette,  cond-mat/9707012

  • Crashes as Critical Points, A. Johansen et al.,  cond-mat/9810071

    13) Gauge Theory of Finance

  • papers of Ilinski and coworkers on xxx.lanl.gov (wird noch weiter ausgeführt)

  • Links

  • The Econophysics Genoa Pages
  • Econophysics Forum Fribourg University
  • Rama Cont's Econophysics Site

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  •  xxx-eprint-Server

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  • Börsenspiel (www.boersenspiel.de)
  • Börsenkurse

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  • Computational Economics Links

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    Sprecher

    Klaus Pinn pinn@uni-muenster.de
    Christoph Specjalski  special@uni-muenster.de
    Daniel Rudolph rudolpd@nwz.uni-muenster.de
    Florian Heitger heitgef@uni-muenster.de
    Christel Kamp kampc@uni-muenster.de
    Tobias Galla galla@uni-muenster.de
    Timo Kellman kellman@uni-muenster.de
    Jörn Voigt voigtjo@uni-muenster.de
    Andre Ewering ewering@uni-muenster.de
    Jens Fischer fischje@nwz.uni-muenster.de
    Roman Schmidt romans@uni-muenster.de
    Martin Jansen jansenm@nwz.uni-muenster.de
    Daniel Molenda molenda@primus-online.de
    Leo Groß grosl@uni-muenster.de
    Felix Zantow zantow@uni-muenster.de
    Andreas Schmitz schmian@uni-muenster.de
    mail an alle

     

     


    URL:  http://pauli.uni-muenster.de/Lehre/pinn/econo.html

    Letzte Änderung: 15.2.99