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Some Simple ML Estimators in Stochastic Differential Equations

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Author Info
Erling B. Andersen (University of Copenhagen, Institute of Economics)
Abstract

For many stochastic differential equations often met in financial theory, it is the drift and the dispersion which are the principal parameters of the model. In such cases it is shown that the parameters can be estimated by ordinary methods from normal distribution theory.

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File URL: http://www.econ.ku.dk/Research/Publications/pink/2001/0110.pdf
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Publisher Info
Paper provided by University of Copenhagen. Department of Economics in its series Discussion Papers with number 01-10.

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Length: 12 pages
Date of creation: Oct 2001
Date of revision:
Handle: RePEc:kud:kuiedp:0110

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Related research
Keywords: Stochastic differential equations; ML estimates; financial models;

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