Ekonomikos svyravimų įtaka įmonių veiklos rezultatams

Stundžienė, Alina; Bliekienė, Rūta

doi:10.3846/btp.2012.01

Cited by 8 publications

(9 citation statements)

References 25 publications

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“…The use of these methods, assessing environmental effects on the financial results of operations is limited to certain general market trends. According to Stundžienė and Bliekienė (2012), the importance of environmental assessment methods is expressed by the relation between the macro environment and the performance assessment of a company, which can anticipate the development trend of companies' performance indicators if the economic situation in the country changes. For the companies' development, the macro-environment is more important, the analysis of which is performed as the forecasting of certain individual macroeconomic indicators.…”

Section: Review Of Theory and Literaturementioning

confidence: 99%

“…Aggregate data are applied for estimating the situation in the national market, business efficiency, the relationship between companies' performance and business environment changes. According Stundžienė and Bliekienė (2012) often environmental effects on companies' activity change assessment and, in addition to the already aforementioned methods, can be performed on a variety of relative statistical indicators calculations and comparisons. In that case, without changing the indicator, their comparison is used in the correlation and regression analysis to help assess the interdependence and connectivity of both variables as well as to forecast possible changes and their impact on the dependent variable.…”

Section: Review Of Theory and Literaturementioning

confidence: 99%

“…Silvanavičiūtė (2008) sought to identify insolvency caused by economic and social problems. Stundžienė and Bliekienė (2012), Pridotkienė et al (2008), Grigonytė and Sūdžius (2009) analyzed the reasons that caused insolvency and payment risks based on bankruptcy prediction methods. martirosianienė (2010) sought to identify the characteristics of a company's insolvency.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Determining the Relation between the Business Environment and Companies Solvency Factors in the Post – crisis Period

Kiyak¹,

Pranckevičiūtė²

2017

ECO

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Section: Review Of Theory and Literaturementioning

confidence: 99%

Section: Review Of Theory and Literaturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Determining the Relation between the Business Environment and Companies Solvency Factors in the Post – crisis Period

Kiyak¹,

Pranckevičiūtė²

2017

ECO

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“…Dėl nuostolių prarandamos galimybės plėsti gamybą, pakeisti pasenusius įrenginius ir technologijas. Todėl, šio darbo autorių nuomone, natūralu, kad įmonių vadovai turi nuolat stebėti kapitalo struktūrą, piniginius srautus -tik tinkamas šių klausimų valdymas gali garantuoti veiklos stabilumą (Stundžienė, Bliekienė 2012).…”

Section: Verslasunclassified

Smulkiojo ir vidutinio verslo finansinių rodiklių svorio bendrojo vidaus produkto struktūroje pokyčių analizė

Švabovič

Valkauskas

2012

Business: Theory and Practice

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Santrauka. Pirmoje straipsnio dalyje pateikiama įmonių būklės vertinimo praktika, pasitelkiant tradicinį krizių diagnozavimo modelį bei tris Altman modelio funkcijų interpretacijas, skiriant tokias pagrindines įmonių finansinės būklės vertinimo rodiklių grupes: pelningumo, trumpalaikio ir ilgalaikio mokumo, veiklos efektyvumo ir kapitalo rinkos. Antroje praktinėje straipsnio dalyje pateikiami penkių pagrindinių ekonominių sektorių įmonių (didmeninė ir mažmeninė prekyba; apdirbamoji gamyba; nekilnojamasis turtas; nuoma, transportas, sandėliavimas ir ryšiai bei statyba) finansinių rodiklių svorio BVP struktūroje prognozę aprašantys modeliai: kvadratinio trendo funkcija, eksponentinio trendo funkcija, S kreivės trendo funkcija bei penkios ARIMA funkcijos. Atliekant praktinius skaičiavimus naudotos Statgraphics plus v3.0 programos funkcijos: One variable analysis, Multiple sample comparison ir User-specified model forecast. Nustatant sukurtų modelių reikšmingumą ir tikslumą buvo atliktas: informacinių kriterijų vertinimas, autokoreliacijos ir dalinės autokoreliacijos standartinių paklaidų vertinimas, Box Pierce testas, paklaidų reikšmių atitiktis baltajam triukšmui, statistikos testo bei P reikšmių vertinimas. Prognozuoti pasirinktas ARIMA (0, 2, 2) modelis ir pateikiama finansinės įmonių būklės prognozė 2012 m. ir kitos išvados.Reikšminiai žodžiai: finansiniai rodikliai, Altmano modelis, įmonių būklės vertinimas, lyginamasis svoris BVP struktūroje, prognozavimas. Abstract. In the first part of the article the status of corporate evaluation practices in crisis through traditional diagnostic model and the three Altman model features interpretations on the following key business indicators are described to measure the financial position of groups: profitability, short-and long-term solvency, operating efficiency and capital markets. In the second part of the article the practical part of the five main economic sectors of business (wholesale and retail trade, manufacturing, real estate, rentals, transportation, storage and communications and construction) for the financial indicators of the weight structure of the GDP forecast is presented for describing models: quadratic trend function of the exponential trend function, S -curve trend function, and five ARIMA functions. In realistic calculations Statgraphics Plus v3.0 program features are used: One Variable Analysis, Multiple Sample Comparison and User-Specified Model Forecast. In determining the significance of the models developed and the accuracy, analysis was carried out on: information criteria for evaluation, autocorrelation and partial ANALYSIS OF SMALL AND MEDIUM BUSINESS INDICATORS IN GROSS DOMESTIC PRODUCT WEIGHT STRUCTURE

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“…Mackevičius (2010), such economic factors are among the most important elements exerting much impact on a business sector or a specific company. However, business performance appraisal methods, including methods for assessing of the probability of bankruptcy, are limited to the sole analysis of a company's financial position, often neglecting influence of the environment (Stundžienė, Bliekienė 2012).…”

Section: Overview Of the Theory Concerning Appraisal Of An Economic Umentioning

confidence: 99%

Establishing a Set of Macroeconomic Factors Explaining Variation Over Time of Performance in Business Sectors

Dzikevičius

Šaranda

2016

Business: Theory and Practice

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With increasing competitiveness of companies and business sectors in the domestic markets of Lithuania, economic units are frequently confronted with the lack of methods for more detailed analysis of external factors explaining the variation over time of corporate financial indicators. The analysis or forecasting of financial indicators is usually linked with the development of a stock market or undertaken to estimate the probability of bankruptcy. However, there is a lack of studies aimed at identifying links between macroeconomic factors and financial performance indicators and explaining their variation over time. To serve that purpose, the factors of the macroeconomic environment that are most significant for certain economic activities have been identified and analysed to enable explaining the variation over time patterns of corporate financial indicators. The analysis covers economic performance, i.e. financial performance indicators and their links with macroeconomic factors, in 89 business sectors of Lithuania at a three-digit level of NACE 2 ed. The findings of the research indicate that the unemployment level in the country, the volume of export and import and the GDP are the most important macroeconomic factors that can be used to forecast different profitability, financial leverage, liquidity and other financial performance indicators of individual business sectors or companies. The research has not unfolded any significant differences between business sectors therefore the above factors are considered generic macroeconomic factors enabling to explain financial performance indicators of the 89 business sectors. Hence, special attention has to be paid to identifying and analysing specific factors and assessing the causal link. When established, the set of such factors provides a framework for building of a model to forecast business sector financial indicators.

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Ekonomikos svyravimų įtaka įmonių veiklos rezultatams

Cited by 8 publications

References 25 publications

Determining the Relation between the Business Environment and Companies Solvency Factors in the Post – crisis Period

Determining the Relation between the Business Environment and Companies Solvency Factors in the Post – crisis Period

Smulkiojo ir vidutinio verslo finansinių rodiklių svorio bendrojo vidaus produkto struktūroje pokyčių analizė

Establishing a Set of Macroeconomic Factors Explaining Variation Over Time of Performance in Business Sectors

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