Venier, Guido (2007): A new Model for Stock Price Movements. Published in: Journal of Applied Economic Sciences , Vol. 3, No. 3 (November 2008): pp. 327-347.
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Abstract
This paper presents a new alternative diffusion model for asset price movements. In contrast to the popular approach of Brownian Motion it proposes Deterministic Diffusion for the modelling of stock price movements. These diffusion processes are a new area of physical research and can be created by the chaotic behaviour of rather simple piecewise linear maps, but can also occur in chaotic deterministic systems like the famous Lorenz system. The motivation for the investigation on Deterministic Diffusion processes as suitable model for the behaviour of stock prices is, that their time series can obey mostly observed stylized facts of real world stock market time series. They can show fat tails of empirical log returns in union with timevarying volatility i.e. heteroscedasticity as well as slowly decaying autocorrelations of squared log returns i.e. long range dependence. These phenomena cannot be explained by a geometric Brownian Motion and have been the largest criticism to the lognormal random walk. In this paper it will be shown that Deterministic Diffusion models can obey those empirical observed stylized facts and the implications of these alternative diffusion processes on economic theory with respect to market efficiency and option pricing are discussed.
Item Type: | MPRA Paper |
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Original Title: | A new Model for Stock Price Movements |
Language: | English |
Keywords: | Deterministic Diffusion, Stock Pricing, Fat Tails, Heteroscedasticity, Long Range Dependence, Option Pricing |
Subjects: | G - Financial Economics > G1 - General Financial Markets > G14 - Information and Market Efficiency ; Event Studies ; Insider Trading D - Microeconomics > D5 - General Equilibrium and Disequilibrium > D58 - Computable and Other Applied General Equilibrium Models G - Financial Economics > G1 - General Financial Markets > G13 - Contingent Pricing ; Futures Pricing C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models D - Microeconomics > D5 - General Equilibrium and Disequilibrium > D53 - Financial Markets G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing ; Trading Volume ; Bond Interest Rates Z - Other Special Topics > Z0 - General D - Microeconomics > D7 - Analysis of Collective Decision-Making > D79 - Other |
Item ID: | 11593 |
Depositing User: | Guido Venier |
Date Deposited: | 19 Nov 2008 06:26 |
Last Modified: | 11 Feb 2013 10:22 |
References: | [1] Andrew W. Lo & A. Craig MacKinlay (1987) “Stock Market Prices do not follow Random Walks: evidence from a simple specification Test” Department of Finance, Wharton School, University of Pennsylvania, Philadelphia, PA 19104 USA [2] Hans Malmsten, Timo Teräsvirta (2004) “Stylized Facts of Financial Time Series and Three popular Models of Volatility” Department of Economic Statistics Stokholm School of Economics Sweden [3] Heinz Georg Schuster (1995) “Deterministic Chaos. An Introduction” Wiley-VCH [4] “Chaos Book” various authors see http://www.chaosbook.org [5] Richard H. Day Huang Weihong, (1995) “Bulls, Bears and Market Sheep” Journal of Economic Behaviour and Organization, Vol 12, pp 299.329 [6] Guido Venier 2008 “A simple Hypothesis Test for Heteroscedasticity” (Draft) [7] D: Nualart (2006) Stochastic calculus with respect to fractional Brownian motion Annales de la faculté des sciences de Toulouse Sér. 6, 15 no. 1, p. 63-78 [8] Edgar E. Peters (1994), Fractal MarketAnalysis (John Wiley and Sons,New York, NY,1994). [9] REF004 C. Necula, (2002), \Option Pricing in a Fractional Brownian Motion Enviroment". Working paper of the Adademy of Economic Studies, Bucharest (Romania) 27, 8079{8089. [10] J. Huston McCulloch (2003) The Risk-Neutral Measure and Option Pricing under Log-Stable Uncertainty June 27, [11] J. Huston McCulloch (1996a): "Financial Applications of Stable Distributions," in Statistical Methods in Finance, ed. by G.S. Maddala and C.R. Rao, Vol. 14 in Handbook of Statistics. Amsterdam: Elsevier, 393-425. Incorporates and supplants 1985 working paper "The Value of European Options with Log-Stable Uncertainty." [12] Christian Bender, Tommi Sottinen and Esko Valkeila Theory of Stochastic Processes Vol.12 (28), no.3-4, 2006, pp.*-* “Arbitrage with fractional Brownian motion?” |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/11593 |
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A new Model for Stock Price Movements. (deposited 15 Jun 2008 10:12)
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