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Using the Predictive Model IN05 to Assess the Business Environment in Czechia

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F24%3AA0000498" target="_blank" >RIV/47813059:19520/24:A0000498 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-031-49105-4_57#citeas" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-49105-4_57#citeas</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-49105-4_57" target="_blank" >10.1007/978-3-031-49105-4_57</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using the Predictive Model IN05 to Assess the Business Environment in Czechia

  • Original language description

    Assessing the financial situation of businesses requires considering both internal factors and the external macroeconomic environment. The aim of this study is to investigate how the macroeconomic environment affects business activities by evaluating the financial health of companies in Czechia. The comprehensive model IN05 is used to evaluate companies’ financial situations, taking into account the specifics of Czech companies’ financial statements. The analysis focuses on the impact of key macroeconomic determinants, such as real GDP growth rates, consumer price index, industrial producer price index, nominal interest rates, and the unemployment rate. Panel regression method, called General Methods of Moments (GMM), is employed to analyze the relationships within this two-dimensional space. The research seeks to identify the macroeconomic factors that exert the most significant influence on companies’ financial situation in Czechia. The study considers the national level as well as variations across economic sectors and enterprise sizes. The factors that have the strongest impact on the financial situation of companies in Czechia include interest rates or the price level.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Applied Economic Research and Trends

  • ISBN

    9783031491047

  • ISSN

    2198-7246

  • e-ISSN

    2198-7254

  • Number of pages

    11

  • Pages from-to

    1009-1019

  • Publisher name

    Springer

  • Place of publication

    Cham, Switzerland

  • Event location

    Brno

  • Event date

    Jan 1, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article