| 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: |
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| -- Financial Principles | |||||||||||||||||||||
| Content of 1 | |||||||||||||||||||||
| -- Statistics and Probability | |||||||||||||||||||||
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* 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 ... |
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| -- The Combination | |||||||||||||||||||||
| Models, tools, and applications | |||||||||||||||||||||
| See also: DEA Probabilit? et Finance, DEA de Probabilit?, course notes download | |||||||||||||||||||||
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