Last modified: 09/11/2004
I believe in the power of mathematical control, it lies in a wish to make things in order.
2004-05-12: The goal is to use modeling in helping economical predictions. The mathematic tools and notions I collected are listed (disorderly) below:

First of all, we consider a quantitative part of economics rather than the qualitative one.

* Econometrics, namely "economic measurement", is on a base of mathematical economics and economic theory, purposed at providing emphirical contents and verification to the economic theories (on relationships par exemple).

issues: regression analysis

* Mathematical economics, which can be regarded as the "theoretical" counterpart of econometrics, explores the mathematical -- mostly statistical -- aspects of real economic systems / worlds.

issues: arbitrage


Now let's get on the fly:
--  Financial Principles
Content of 1 
--  Statistics and Probability
* The fondamental problems of statistics, and the dualities in probability.
* Elements: Statistical decision theory (including bay�sienne), Gaussien linear model, classic methods of estimation, ...
* Choice of model: parametric relation, non-parametric relation, variable selection, test, ...

* Monte-Carlo methods in finance
* Simulation

* Stochastic processes

...
--  The Combination
Models, tools, and applications
See also: DEA Probabilit? et Finance, DEA de Probabilit?, course notes download
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