A new Model for Stock Price Movements
AbstractA new alternative diffusion model for asset price movements is presented. 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 reason for the investigation on deterministic diffusion processes as suitable model for the behaviour of stock prices is, that their time series can obey certain stylized facts of real world stock market time series. For example they can show fat tails of empirical log returns in union with varying volatility i.e. heteroscedacity as well as slowly decaying autocorrelations of squared log returns. These phenomena could not be explained by a simple Brownian motion and have been the most criticism to the lognormal random walk. The scope is to show that deterministic diffusion models can explain the occurrence of those empirical observed stylized facts and to discuss the implications for economic theory with respect to market efficiency and option pricing.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 9146.
Date of creation: 10 Aug 2007
Date of revision:
stock pricing; chaos theory; deterministic diffusion; heteroscedasticity; fat tails; long range dependence; stylized facts of economic time series; fractional brownian motion; levy stable distributions; brownian motion; black scholes; option pricing; CAPM; market efficiency;
Other versions of this item:
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
- G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- Z0 - Other Special Topics - - General
- D79 - Microeconomics - - Analysis of Collective Decision-Making - - - Other
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-06-21 (All new papers)
- NEP-CFN-2008-06-21 (Corporate Finance)
- NEP-FMK-2008-06-21 (Financial Markets)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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