Name
Mikitaeva Indira Ruslanovna
Scholastic degree
•
Academic rank
associated professor
Honorary rank
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Organization, job position
Kabardino-Balkarian State Agricultural University named after Kokov V.M.
Web site url
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Articles count: 1
Forecasting the state of external and internal industry
environment by assessing the impact of factors variety
and analysis is the basis of the grain subcomplex
purposeful development. It is necessary to take
into account the integration of the industry into particular
region environment, which requires additional
consideration of natural factors in the forecast. Theoretical
and methodological guidelines which define
characteristics of the forecasting in the particular area,
are designed to provide justification for that
choice. Best results are obtained predicted values
found by rapid and short-term models, as in a short
period the trend rarely changes its direction and thus
changes the value by several times. Forecasting
methods can be divided into two major groups: intuitive
and formal. As a dynamic system, the market (in
particular the grain market) requires the usage of
complex methods for forecasting time series of key
market indicators. According to our opinion, the
optimum method of forecasting the regional grain
market conditions is based on the following principles:
reliability, systematic analysis, taking into account
factors that may have an impact in the long
term; validity of the scientific justification i.e. obtaining
a similar result when re-modeling of the experimental
data; the adequacy of the results obtained after
forecasting the experimental data; reliability and
accuracy of the forecast assessment for its possible
adjustments; cleariness of language, which should be
understandable for the decision-makers; planned nature
of the forecast