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Bankruptcy Prediction in the Sector of Construction in Lithuania

Rosvydas Marcinkevičius · Rasa Kanapickienė

15 citations0/0 files storedProcedia - Social and Behavioral Sciences

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Financial Distress and Bankruptcy Prediction Corporate Insolvency and Governance Forecasting Techniques and Applications

Abstract

The paper presents the results of the research in the application of bankruptcy prediction models in the sector of construction in Lithuania. During the financial crisis, many companies in the construction sector went bankrupt. Therefore, the research aims to reveal if conventional bankruptcy prediction models are applicable in this sector. The present study distinguishes by its broad scope that was targeted for the first time (521 companies whose bankruptcy was initiated in 2009-2013 were examined). Moreover, empirical research provide conflicting results as well.

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2008Įmonių bankroto prognozavimo modelių taikymas 2005Research of Possibility of Bankruptcy Diagnostics Applying Neural Network

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2021Predicting Insolvency of the Construction Companies in the Creditworthiness Assessment Process—Empirical Evidence from Poland

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