Name
Zhmurko Daniil Yuryevich
Scholastic degree
—
Academic rank
—
Honorary rank
—
Organization, job position
Kuban State Agrarian University
Web site url
—
Articles count: 27
This article is devoted to the practical application
of economic-mathematical methods (based on correlation
analysis) to control the economic parameters
of the integrated production systems sugar
subcomplex (IPS SS) AIC oriented to meet the
needs in the sugar production of the population not
only of individuals, but also of the regions and the
country as a whole. This article discusses and
solves the following tasks: autocorrelation and
partial autocorrelation functions, cross-correlation
function (correlation matrix) study of deciduous
macroeconomics series, with appropriate verification
(test) Durbin - Watson. The study used Statistica,
MS Excel and Xlstat add-in. The work describes
experiments with various kinds of nonstationary
time series of the agricultural sector and
food industry sugar subcomplex, as well as the test
results on the difficulty of communication between
them. We have identified industry-high cycles. The
article presents results of numerical experiments
autocorrelation of the time series of sugar production,
acreage, gross harvest and yield of sugar beet
and sugar cane, by country. Systematically, we
describe ideas and methods underlying the correlation
analysis. We have given the evaluation of the
results of correlation analysis on each type. Further,
it can be assumed that the proposed techniques
will greatly affect a key points when making
recommendations for new models of production
of sugar products, market-oriented – this will
minimize the time and cost of the finished product
that will make a more stable position in the sector
for this integrated production system in relation to
its competition
The article deals with methods of visual-graphic analysis (technical analysis) and a possibility of adapting them to the conditions (indicators) of the sugar subcomplex from the position of integrated production systems (IPS). It should be noted that technical analysis is very popular. Thanks to the advent of powerful processors for computers and inexpensive software, trade analysts have access to technical analysis tools. The topic is becoming increasingly relevant in connection with the high pace of the global economic community. Visual graphical analysis (technical analysis), as well as its latest methods (indicators) that are adapted to modern economic conditions, are sort of the primary "blueprints" for the more complex forecasting tools, without which none of the analyst can do. Separating statistics from mathematics as an independent unit occurred after the development and start of mass use of tools visual graphical analysis (VGA) in various applied Sciences. The main feature of the prediction is the decision of the tasks, which are implemented in the algorithm of sequential nonparametric model. This indicates the improving the validity of information when predicting performance of IPS SP AIC. For a more General (objective) picture of the forecasting activities of IPS SP you need to apply this analysis in combination with other tools, such as hierarchical analysis of structural change and of correlation and spectral analysis. According to the forecasts obtained with the help of the indicators VGA, countries such as Brazil and India over time, waiting for the "overheating" of the economy due to unprecedented growth in the volume of growing sugar cane and manufacturing raw sugar. However, it is not necessary to consider the visual-graphic analysis as a perfect tool for forecasting market trends. Technical analysis should be seen as a tool for analysis and forecasting, which uses as the basis for short-term forecasting (benchmark) for operational decision-making by managers as a major sugar holdings, and the Ministry of agriculture
The article deals with methods of visual-graphic analysis (technical analysis) and a possibility of adapting them to the conditions (indicators) of the sugar subcomplex from the position of integrated production systems (IPS). It should be noted that technical analysis is very popular. Thanks to the advent of powerful processors for computers and inexpensive software, trade analysts have access to technical analysis tools. The topic is becoming increasingly relevant in connection with the high pace of the global economic community. Visual graphical analysis (technical analysis), as well as its latest methods (indicators) that are adapted to modern economic conditions, are sort of the primary "blueprints" for the more complex forecasting tools, without which none of the analyst can do. Separating statistics from mathematics as an independent unit occurred after the development and start of mass use of tools visual graphical analysis (VGA) in various applied Sciences. The main feature of the prediction is the decision of the tasks which are implemented in the algorithm of sequential nonparametric model. This indicates the improving the validity of information when predicting performance of IPS SP AIC. For a more General (objective) picture of the forecasting activities of IPS SP you need to apply this analysis in combination with other tools, such as hierarchical analysis of structural change and of correlation and spectral analysis. According to the forecasts obtained with the help of indicators the VGA, countries such as Brazil and India over time, waiting for the "overheating" of the economy due to unprecedented growth in the volume of growing sugar cane and manufacturing raw sugar. However, it is not necessary to consider the visual-graphic analysis as a perfect tool for forecasting market trends. Technical analysis should be seen as a tool for analysis and forecasting, which uses as the basis for short-term forecasting (benchmark) for operational decision-making by managers as a major sugar holdings, and the Ministry of agriculture