STATISTICAL RESEARCH OF FINANCIAL MARKET INFORMATION SPACE
Abstract
This article contains generalized findings of authors’ research which is oriented on the creation of typology of financial market information space. Research purpose is the assessment of regional investment climate through the identification of the key types of information streams. The technology of the portfolio analysis [modified BCG matrix (Boston Consulting Group)] was used as an analytical tool for complex statistical research. The approach compares two classification attributes - «reliability» and «availability» of information. The article results lie in pre-classification, description and grouping of types of behavior patterns of economic entities in financial market information space. The dual nature of investment behavior of economic entity in financial market information space was disclosed. In financial market information space the food and beverage companies of the Novosibirsk region were classified. The received results can be used for assessment of regional investment climate. Data used for research purposes was received from official statistics and from specialized information-analytical databases.
About the Authors
M. A. Alekseev
Novosibirsk State University of Economics and Management
Russian Federation
Russian Federation
V. V. Glinskiy
Novosibirsk State University of Economics and Management
Russian Federation
Russian Federation
P. N. Likhutin
Novosibirsk State University of Economics and Management
Russian Federation
Russian Federation
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Review
For citations:
Alekseev M.A., Glinskiy V.V., Likhutin P.N. STATISTICAL RESEARCH OF FINANCIAL MARKET INFORMATION SPACE. Voprosy statistiki. 2017;(5):28-38. (In Russ.)
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