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  • Search: subject:"artificial neuralnetwork"
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Subject
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artificial neuralnetwork 2 ANN 1 Betriebliche Kennzahl 1 Corporate finance 1 Economic crisis 1 Financial crisis 1 Financial ratio 1 Finanzkrise 1 Forecasting model 1 Insolvency 1 Insolvenz 1 KMU 1 Kleinstunternehmen 1 Kohonen’s map 1 Litauen 1 Lithuania 1 Micro business 1 Neural networks 1 Neuronale Netze 1 Prognoseverfahren 1 Regression analysis 1 Regressionsanalyse 1 SME 1 SOM 1 Unternehmensfinanzierung 1 Wirtschaftskrise 1 bankruptcy prediction 1 construction-sector variables 1 crisis 1 financial ratios 1 liquidity 1 logistic regression 1 macroeconomicvariables 1 multivariate adaptive regression splines (MARS) 1 non-financial variables 1 profitability 1 self-organizing map 1 small and micro enterprises 1
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CC license 2 Free 2
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Article 2
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 2
Author
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Kanapickas, Tomas 1 Kanapickienė, Rasa 1 Nečiūnas, Audrius 1 Nowicki, Jarosław 1 Ratajczak, Piotr 1 Szutowski, Dawid 1
Published in...
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International Journal of Financial Studies : open access journal 1 Risks : open access journal 1
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ECONIS (ZBW) 2
Showing 1 - 2 of 2
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Exploring the dynamics of profitability-liquidity relations in crisis, pre-crisis and post-crisis
Ratajczak, Piotr; Szutowski, Dawid; Nowicki, Jarosław - In: International Journal of Financial Studies : open … 12 (2024) 1, pp. 1-18
The aim of this study is to verify the stability of the profitability-liquidity relationship over time, as well as to determine this relationship in terms of its level and structure. In this context, three main research questions were formulated. First, is the profitability-liquidity...
Persistent link: https://www.econbiz.de/10014502341
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Cover Image
Bankruptcy prediction for micro and small enterprises using financial, non-financial, business sector and macroeconomic variables : the case of the Lithuanian construction sector
Kanapickienė, Rasa; Kanapickas, Tomas; Nečiūnas, Audrius - In: Risks : open access journal 11 (2023) 5, pp. 1-33
Credit-risk models that are designed for general application across sectors may not be suitable for the construction industry, which has unique characteristics and financial risks that require specialised modelling approaches. Moreover, advanced bankruptcy-prediction models are often used to...
Persistent link: https://www.econbiz.de/10014334422
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