National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Local polynomial regression
Cigán, Martin ; Bašta, Milan (advisor) ; Maciak, Matúš (referee)
This thesis examines local polynomial regression. Local polynomial regression is one of non-parametric approach of data fitting. This particular method is based on repetition of fitting data using weighted least squares estimate of the parameters of the polynomial model. The aim of this thesis is therefore revision of some properties of the weighted least squares estimate used in linear regression model and introduction of the non-robust method of local polynomial regression. Some statistical properties of the local polynomial regression estimate are derived. Conditional bias and conditional variance of the local polynomial regression estimate are then approximated using Monte Carlo method and compared with theoretical results. Powered by TCPDF (
History of mathematical modelling on financial markets
Cigán, Martin ; Brada, Jaroslav (advisor) ; Langer, Miroslav (referee)
The main goal of this thesis is to introduce the reader to the evolution of some of the well-known mathematical models used in the valuation of investment instruments. The first chapter deals with some of the basic terms used in the following text. The next chapters introduce mathematical models, which are used to valuate stocks, bonds and derivatives. Each chapter contains also a brief description of the instrument itself and in some cases the methods used to evaluate the instruments before the introduction of models. The thesis contains a chapter on concept of portfolio due to its importance in the development of mathematical modelling in this field.

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