Latvijas būvniecības nozares uzņēmumu finansiālās stabilitātes novērtēšana
[Estimation of the financial stability of the Latvian building industry enterprises]
In this paper, using standard financial ratios (liquidity, profitability, solvency and activity ratios), the financial stability of the Latvia building industry enterprises is estimated. It is find ratios norms for construction industry financial ratios. A hypothesis has researches that an enterprise scale has influence to the enterprise financial data, profitability and possibilities operate in crisis circumstances. The ratios of the large enterprises are compared with the general industry level and ratios from the little and middle enterprises. One from paper novelty elements is constrained with hypotheses research, what it is better: small size and mobility of the small and middle building enterprises or stability and possibilities of the large enterprises. The research is needed, to get practical answer, is it profitably to unite small enterprises, to improve its financial data, as also determine what is needed for large enterprises, let promote its mobility. Valuing financial ratios is drawn conclusion, that it is a specific in building industry analysis, comparing it with a national economy. Similarly, financial ratios of the large building enterprises sometimes are different from data of little and middle enterprises in the industry. In the industry demand and profitability diminish case, enterprises, which used creditors means go down. For enterprises, which used own means, the financial stability is larger. There is shown in research, that both profitability and financial stability for the large building industry enterprises are larger than data of middle industries and data national economy incorporated.
|Date of creation:||2009|
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- Skribans, Valerijs, 2003. "Construction demand: a model of research and forecast for Latvia from 2002 to 2025," MPRA Paper 16366, University Library of Munich, Germany.
- Skribans, Valerijs, 2002. "Construction industry forecasting model," MPRA Paper 16365, University Library of Munich, Germany.
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