Modelling of Municipal Debt in the Pardubice Region

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F15%3A39899468" target="_blank" >RIV/00216275:25410/15:39899468 - isvavai.cz</a>

Výsledek na webu

<a href="http://ctpsr.econ.muni.cz/wp-content/uploads/2015/01/A5_sbornik_2015_bez_znacek.pdf" target="_blank" >http://ctpsr.econ.muni.cz/wp-content/uploads/2015/01/A5_sbornik_2015_bez_znacek.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Modelling of Municipal Debt in the Pardubice Region

Popis výsledku v původním jazyce

Analysis of the indebtedness is an important tool for the finance analysis of the state, region, district or municipality. Currently, the indebtedness is monitored by the Ministry of Finance of the Czech Republic (MFCR) at the municipality level. It is realized by the Presentation system of financial and accounting information of state (UFIS). This system contents data for all municipalities of the Czech Republic (CR). It also issues annual information on the evolution of total debt of local budgets. Inthis paper two approaches of abnormality detection were compared that the abnormality represents the municipality indebtedness. Firstly, the approach of the UFIS on the basis of two monitoring financial indicators was used. Secondly, the data mining algorithms for identifying anomalous values were applied. The suggestion model works with real UFIS data set in the year 2011. The model outputs present sets of municipality indebtedness and the sets elements are compared on the basis of pre

Název v anglickém jazyce

Modelling of Municipal Debt in the Pardubice Region

Popis výsledku anglicky

Analysis of the indebtedness is an important tool for the finance analysis of the state, region, district or municipality. Currently, the indebtedness is monitored by the Ministry of Finance of the Czech Republic (MFCR) at the municipality level. It is realized by the Presentation system of financial and accounting information of state (UFIS). This system contents data for all municipalities of the Czech Republic (CR). It also issues annual information on the evolution of total debt of local budgets. Inthis paper two approaches of abnormality detection were compared that the abnormality represents the municipality indebtedness. Firstly, the approach of the UFIS on the basis of two monitoring financial indicators was used. Secondly, the data mining algorithms for identifying anomalous values were applied. The suggestion model works with real UFIS data set in the year 2011. The model outputs present sets of municipality indebtedness and the sets elements are compared on the basis of pre

Druh

D - Stať ve sborníku

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 19th International Conference: Current Trends in Public Sector Research

ISBN

978-80-210-7532-0

ISSN

2336-1239

e-ISSN

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Počet stran výsledku

8

Strana od-do

117-125

Název nakladatele

Masarykova univerzita

Místo vydání

Brno

Místo konání akce

Šlapanice

Datum konání akce

22. 1. 2015

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000355547600014