Financial Section Overview
This web space is devoted to a novel approach to the analysis of financial data. The underlying idea is that much of the behavior of financial markets can be described by heavy-tailed statistical distributions. We do not make the assumption that the descriptive distribution is stationary. Stable distributions are used as a tool for modeling data and the scale parameter of a stable distribution is used to estimate volatility of returns. All of the analysis is based on the distribution of logarithmic returns -- differences in logarithms of prices.
The site map below shows suggested pathways through the material. Each page or set of pages below contains a link to the next logical section as well as a link back to this page. The map is designed so that you can easily jump around; if something seems too difficult at first, move to another set of pages. The path starting with "Returns" starts very simply and hopefully somewhat intuitively leads into the sections that require some feeling for statistical distributions. For users with some background in statistics a reasonable starting point might be "Fitting Market Data." The path starting with "Stable Distributions" presents some basic information about stable distributions. If you get lost, there is an index to all the pages. Occasionally you will run into an "Under Construction" page where something is not yet ready; we will also use the "Under Construction" page to point to something that is new and not yet in the main pathway system. A new series of pages has been added, showing how to use the fast Fourier transform to calculate statistical probability densities from characteristic functions, "Statistics FFT".
As the site has grown to more than 50 pages, the thread of a theory of markets that is evolving is hard to follow. A working paper, "Market Theory," hopefully helps to pull this back together. The paper has links back to the site and is available in a printable pdf format.
Everything on the site has been created with Mathematica; the notebook that created each page is downloadable. The StableM software, that supports the notebooks can also be downloaded.
Enjoy your tour!
Email comments and questions to Bob Rimmer.
© Copyright 2008 mathestate Fri 14 Mar 2008