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Нормирование Ñ„Ð¸Ð½Ð°Ð½ÑÐ¾Ð²Ñ‹Ñ Ð¿Ð¾ÐºÐ°Ð·Ð°Ñ‚ÐµÐ»ÐµÐ¹ предприятий отраслей Ñ Ð¸Ð¼Ð¸Ñ‡ÐµÑÐºÐ¾Ð¹ промышленности и сельского Ñ Ð¾Ð·ÑÐ¹ÑÑ‚Ð²Ð°

выпускная квалификационная работа магистра

Нормирование Ñ„Ð¸Ð½Ð°Ð½ÑÐ¾Ð²Ñ‹Ñ Ð¿Ð¾ÐºÐ°Ð·Ð°Ñ‚ÐµÐ»ÐµÐ¹ предприятий отраслей Ñ Ð¸Ð¼Ð¸Ñ‡ÐµÑÐºÐ¾Ð¹ промышленности и сельского Ñ Ð¾Ð·ÑÐ¹ÑÑ‚Ð²Ð°

Abstract

Целью работы является установление нормативов финансовых показателей для отрасли химической промышленности и сельского хозяйства, а также их сравнение. Были решены следующие задачи: - изучена теоретическая часть коэффициентного метода финансового анализа; проанализированы работы отечественных и зарубежных авторов по нормированию финансовых показателей; определен метод установления нормативных значений для отрасли химической промышленности и сельского хозяйства; изучена сущность кластерного анализа, выбран метод кластеризации и способ измерения расстояния для проведения анализа; - систематизированы данные по выбранным предприятиям из отрасли химической промышленности и сельского хозяйства; проведен первичный и кластерный анализ в отрасли химической промышленности и в отрасли сельского хозяйства; проанализированы полученные результаты кластерного анализа и первичного анализа; по результатам исследования установлены нормативы для выбранных показателей. Актуальность темы обусловлена необходимостью установления нормативов для финансовых коэффициентов каждой отдельной отрасли, так как общепринятые усредненные нормативы не учитывают тот факт, что в зависимости от отрасли, к которой принадлежит то или иное предприятие, могут варьироваться. Источниками информации выступили данные системы СПАРК. Предложена методика нормирования финансовых показателей, а также установлены нормативные значения для коэффициентов ликвидности, финансовой устойчивости, деловой активности и рентабельности для отрасли химической промышленности и сельского хозяйства. Практическая значимость работы состоит в том, что возможно применение разработанной методики нормирования финансовых показателей для других отраслей, а также возможно применение новых рекомендуемых значений при финансовом анализе для химической промышленности и сельского хозяйства.

The purpose of the work is to establish financial performance standards for the chemical industry and agriculture, as well as their comparison. The following tasks were solved: - the theoretical part of the coefficient method of financial analysis has been studied; the works of domestic and foreign authors on standardization of financial indicators were analyzed; a method for establishing standard values for the chemical industry and agriculture has been determined; the essence of cluster analysis was studied, a clustering method and a method of measuring distance for analysis were selected; data on selected enterprises from the chemical industry and agriculture were systematized; - primary and cluster analysis was carried out in the chemical industry and in the agricultural sector; analyzed the results of cluster analysis and primary analysis; Based on the results of the study, standards for selected indicators were established. The relevance of the topic is due to the need to establish standards for the financial ratios of each individual industry, since generally accepted average standards do not take into account the fact that they may vary depending on the industry to which a particular enterprise belongs. The sources of information were data from the SPARK system. A methodology for standardizing financial indicators has been proposed. Also standard values for liquidity ratios, financial stability, business activity and profitability for industry, the chemical industry and agriculture have been established. The practical significance of the work is that it is possible to use the developed methodology for standardizing financial indicators for other industries, and it is possible to use new recommended values in financial analysis for the chemical industry and agriculture.

Keywords

кластерный анализ, financial index, финансовые показатели, normation of financial ratios, финансовое состояние, financial condition, нормирование Ñ„Ð¸Ð½Ð°Ð½ÑÐ¾Ð²Ñ‹Ñ ÐºÐ¾ÑÑ„Ñ„Ð¸Ñ†Ð¸ÐµÐ½Ñ‚Ð¾Ð², cluster analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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