Dagmar Camska (Czech Republic) – FORECASTING OF FINANCIAL HEALTH IN TRANSPORTATION AND STORAGE SECTOR

Dagmar Camska (Czech Republic) – FORECASTING OF FINANCIAL HEALTH IN TRANSPORTATION AND STORAGE SECTOR

Dagmar Camska

CTU in Prague, MIAS School of Business, Czech Republic

E-mail: dagmar.camska@cvut.cz

Abstract

The paper’s aim is the forecasting of corporate financial health. It is focused on the specific sector of economic activity – Transportation and Storage in the Czech Republic which is labelled as CZ-NACE H. There could be used various tools for forecasting. In the case of finance, models predicting financial distress are widely used for fulfilling this purpose. They provide an answer if the company is exposed to the risk of bankruptcy or if its financial health reaches a satisfying level. In a period of economic expansion, models should classify most businesses as healthy with a very low risk of bankruptcy. There is one obstacle because no universal model exists. Some models provide better results for manufacturing companies, others for services, emerging markets or transition economies. Transportation and Storage Sector has its own specifics from different points of view and financial perspective is no exception. Although the main aim of the paper is forecasting of corporate financial health, another goal is detecting the prediction model or models best fulfilling the aforementioned aim.

 

Key words: models predicting financial distress, prediction formulas, Czech Republic

Last Update: October 31, 2019  

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October 31, 2019   217    BLMM 2019  
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