Bibliotheca Academica 2018

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Bibliotheca Academica 2018 

Ostrav

Modern mortgage banking in Czech Republic

Na/cv prace: Autor: Katedra: Vedouci bakalafske prace: R-mail vedouciho: Hypotecni bankovnictvi v CR v soucasnosti Iveta Slivova Katedra pravdepodobnosli a matematicke stalistiky Doc. RNDr. Jan Hurl, CSc. Jan.I hin(ti]mff.cuni.cz Abstrakt: V pfedlozene praci se /abyvamc dncsnim stavem hypotccniho bankovniclvi v Ceske rcpublice. Pozornost je venovana hlavnc hypotecnimu uveru. V prvni casti se nachazi delcni, charakteristika uveru, v/nik a vyvoj hypotecniho uveru od staroveku a/, do soucasnosti a zastavni listy. V druhe rmizeme nalezt nasledujici temala: postup pfi vyfizovani uveru, uvcrovc registry, pfedhypotecni a doplnkove uvery, zjist'ovani bonity diuznika. maximaini vySc uveru, occnovani nemovitosti, cerpani uveru, konslrukce a vyhody splatkovych kalendafu, moznosti vyuzili slatni flnancni podpory. kombinace s zivotnim pojistcnim nebo stavebnim spofcnim, vyliody hypotecniho uveru, hypotecni trh, zadluxcnost a inllace v CR, osobni zhodnoccni a pfedpokladany budouci vyvoj. Klicova slova: Hypotecni uver, hypolecni /astavni list, statni podpora, stavebni spofcni. Title: Author: Department: Supervisor: Modem mortgage banking in Czech Republic Iveta Slivova Department of Probability and Mathematical Statistics Doc. RNDr. Jan Huil, CSc. Supervisor's email address: Jan.Uurt(a}mlT.cuni.ez Abstract: In this work..

Selected topics of multivariate time series analysis in finance

In the present work, we study ARMA model at the beginning, then we write about one-dimensional and multivariate ARCH and GARCH model, further we move on to the multivariate GARCH model. At the end, the principal component decomposition is introduced, it is a procedure to reduce the number of parameters involved in a multivariate GARCH model. The theory is explicated rst on a basic ARMA model, afterwards it is modi ed step by step for the one-dimensional and the multivariate GARCH model. There are solved examples for multivariate ARCH and GARCH model and nancial data are analyzed by means of these models

Selected topics of multivariate time series analysis in finance

In the present work, we study ARMA model at the beginning, then we write about one-dimensional and multivariate ARCH and GARCH model, further we move on to the multivariate GARCH model. At the end, the principal component decomposition is introduced, it is a procedure to reduce the number of parameters involved in a multivariate GARCH model. The theory is explicated rst on a basic ARMA model, afterwards it is modi ed step by step for the one-dimensional and the multivariate GARCH model. There are solved examples for multivariate ARCH and GARCH model and nancial data are analyzed by means of these models