Innovations in financial management: recursive predictin model
based on decision trees

J 2020

Innovations in financial management: recursive predictin model based on decision trees

PODHORSKÁ, Ivana, Jaromír VRBKA, George LAZAROIU and Maria KOVÁČOVÁ

Basic information

Original name

Innovations in financial management: recursive predictin model based on decision trees

Name in Czech

Inovace ve finančním řízení: rekurzivní predikční model založený na rozhodovacích stromech

Authors

PODHORSKÁ, Ivana (703 Slovakia, guarantor), Jaromír VRBKA (203 Czech Republic, belonging to the institution), George LAZAROIU (840 United States of America) and Maria KOVÁČOVÁ (703 Slovakia)

Edition

Marketing and Management of Innovations, Ukrajina, Sumy State Univ., dept. Marketing & Mia, 2020, 2218-4511

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

50200 5.2 Economics and Business

Country of publisher

Ukraine

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

RIV identification code

RIV/75081431:_____/20:00001871

Organization unit

Institute of Technology and Business in České Budějovice

UT WoS

000576279200020

Keywords (in Czech)

Predikční model; rozhodovací strom; rozvojové trhy

Keywords in English

Prediction model; decision tree; emerging markets

Abstract

ORIG CZ

V originále

Main aim is to create a comprehensive prediction model of enterprise financial distress based on decision trees, under the conditions of emerging markets. Paper methods are based on the decision tree, with emphasis on algorithm CART. Emerging markets included 17 countries: Slovak Republic, Czech Republic, Poland, Hungary, Romania, Bulgaria, Lithuania, Latvia, Estonia, Slovenia, Croatia, Serbia, Russia, Ukraine, Belarus, Montenegro and Macedonia. Paper research is focused on the possibilities of implementation of decision tree algorithm for creation of prediction model in the condition of emerging markets.

In Czech

Hlavním cílem je vytvoření komplexního predikčního modelu finanční tísně podniku působícího na trhu rozvojových zemí. Metody výzkumu vycházejí z rozhodovacího stromu s důrazem na algoritmus CART. Rozvíjející se trhy zahrnovaly 17 zemí: Slovenská republika, Česká republika, Polsko, Maďarsko, Rumunsko, Bulharsko, Litva, Lotyšsko, Estonsko, Slovinsko, Chorvatsko, Srbsko, Rusko, Ukrajina, Bělorusko, Černá Hora a Makedonie. Výzkum je zaměřen na možnosti implementace algoritmu rozhodovacího stromu pro tvorbu predikčního modelu v systému Windows

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Citovat

PODHORSKÁ, Ivana, Jaromír VRBKA, George LAZAROIU and Maria KOVÁČOVÁ. Innovations in financial management: recursive predictin model based on decision trees. Marketing and Management of Innovations. Ukrajina: Sumy State Univ., dept. Marketing & Mia, 2020, vol. 3, nečíslováno, p. 276-292. ISSN 2218-4511.

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N2  - Main aim is to create a comprehensive prediction model of enterprise financial distress based on decision trees, under the conditions of emerging markets. Paper methods are based on the decision tree, with emphasis on algorithm CART. Emerging markets included 17 countries: Slovak Republic, Czech Republic, Poland, Hungary, Romania, Bulgaria, Lithuania, Latvia, Estonia, Slovenia, Croatia, Serbia, Russia, Ukraine, Belarus, Montenegro and Macedonia. Paper research is focused on the possibilities of implementation of decision tree algorithm for creation of prediction model in the condition of emerging markets.
ER  -

PODHORSKÁ, Ivana, Jaromír VRBKA, George LAZAROIU and Maria KOVÁČOVÁ. Innovations in financial management: recursive predictin model based on decision trees. \textit{Marketing and Management of Innovations}. Ukrajina: Sumy State Univ., dept. Marketing \&{} Mia, 2020, vol.~3, nečíslováno, p.~276-292. ISSN~2218-4511.

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