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Some applications of time series models to financial data

Publication at Faculty of Mathematics and Physics |
2011

Abstract

The text presents a proposal of a parameter estimation method in multivariate time series. The AR(1) model is investigated.

An application to financial data is introduced including a comparison with some outputs of software implementations of standard estimation procedures.