Asymmetry of Information in the Analysis of Socio-Economic Processes
https://doi.org/10.34020/2073-6495-2020-1-064-075
Abstract
The work is aimed at solving the actual problem of analyzing the interaction of market participants. The degree of unpredictability of market participant’s behavior determines economic risks and manifests itself as a violation of information symmetry. Asymmetry is expressed in different degrees of awareness of groups of sellers and groups of buyers-users of the product about the state of the market, which determines the different behavioral moods and intentions of market participants. The possibility of using the Shannon entropy and fractal dimension indicators to assess the degree of ordering of relationships between groups of buyers and the results of their behavior is considered.This allows us to draw conclusions about the logic of relationships between the behavior of different clients. An iterative box-counting algorithm is used to determine the approximate value of the Minkowski fractal dimension.As a metric of distances between the signs of transactions of pairs of clients, the cosine distance can be used for the case of sparse data.It is shown how the fractal dimension will change in the case of observation of more stable relationships between groups of clients.
About the Author
A. N. Kislyakov
Russian Academy of National Economy and Public Administration under the President of Russian Federation, Vladimir branch
Russian Federation
Kislyakov Aleksey N., Candidate of Technical Sciences, Associate Professor, Department of Information Technology
Russian Federation
Kislyakov Aleksey N., Candidate of Technical Sciences, Associate Professor, Department of Information Technology
References
1. Butenkov S.A. Jentropijnyj podhod k ocenke kachestva granulirovanija mnogomernyh dannyh // Sb. trudov Odinnadcatoj Nacional’noj konferencii po iskusstvennomu intellektu s mezhdunarodnym uchastiem. Dubna, 2008. P. 331–340.
2. Zinenko A.V. R/S analiz na fondovom rynke // Biznes-informatika. 2012. № 3 (21). P. 24–30.
3. Kisljakov A.N. Ispol’zovanie fraktal’noj razmernosti v tehnicheskom analize rynka kriptovaljut // Uchenye zapiski. Vladimirskij filial federal’nogo gosudarstvennogo bjudzhetnogo obrazovatel’nogo uchrezhdenija vysshego obrazovanija Rossijskaja akademija narodnogo hozjajstva i gosudarstvennoj sluzhby pri Prezidente Rossijskoj Federacii. 2018. № 1. P. 101–105.
4. Kisljakov A.N., Tihonjuk N.E. Model’ cenoobrazovanija odnorodnogo rynka s uchetom asimmetrichnosti informacii // Innovacionnoe razvitie jekonomiki. 2019.№ 1.P. 93–100.
5. Kisljakov A.N. Fraktal’nyj analiz v zadachah prognozirovanija social’no-jekonomicheskih processov // Novaja jekonomika i regional’naja nauka. 2018.№ 1 (10). P. 36–39.
6. Kisljakov A.N. Fraktal’nyj metod identifikacii lichnosti po cifrovym izobrazhenijam otpechatkov pal’cev // Materialy XII Mezhdunarodnoj nauchno-tehnicheskoj konferencii «Perspektivnye tehnologii v sredstvah peredachi informacii – PTSPI’17». Vladimir: Vladimirskij gosudarstvennyj universitet im. A.G. i N.G. Stoletovyh, 2017. P. 200–204.
7. Korolev O.L., Kussyj M.Ju., Sigal A.V. Primenenie jentropii pri modelirovanii processov prinjatija reshenij v jekonomike. Monografija / pod red. doc. A.V. Sigala. Simferopol’: Izd-vo «ODZhAK##», 2013. 148 p.
8. Nikitin O.R., Kisljakov A.N. Metod identifikacii lichnosti po cifrovym izobrazhenijam otpechatkov pal’cev // Radiotehnicheskie i telekommunikacionnye sistemy. 2017. № 4. P. 52–57.
9. Nikitin O.R., Kisljakov A.N. Fraktal’nyj analiz informacionnogo soderzhanija mnogospektral’nyh izobrazhenij zemnoj poverhnosti // Teoreticheskaja i prikladnaja jekologija. 2019. № 2. P. 32–38.
10. Rau V.G., Kisljakov A.N., Tihonjuk N.E., Rau T.F. Princip narushenija asimmetrii v modeljah razvitija jekonomicheskih sistem opyt i problemy // Regional’naja jekonomika: opyt i problemy. Materialy XI mezhdunarodnoj nauchno-prakticheskoj konfe rencii (Gutmanskie chtenija) 15 maja 2018 goda / pod obshh. red. A.I. Novikova i A.E. Illarionova.Vladimir:Vladimirskij filial RANHiGS, 2018. P. 201–211.
11. Rau V.G., Poljakov S.V., Rau T.F., Firsov I.V., Togunov I.A. Nekotorye osobennosti primenenija grupp narushennoj simmetrii dlja «vizualizacii» processov v prirodnyh, «zhivyh» i social’no-jekonomicheskih sistemah // Regional’naja jekonomika: opyt i problemy. Materialy XII mezhdunarodnoj nauchno-prakticheskoj konferencii (Gutmanskie chtenija) 15 maja 2019 goda / pod obshh. red. A.I. Novikova i A.E.Illarionova.Vladimir:Vladimirskij filial RANHiGS, 2019. P. 11–119.
12. Tihonjuk N.E., Kisljakov A.N. Jekonomicheskie modeli raboty s asimmetriej informacii: jevoljucija podhodov // Regional’naja jekonomika: opyt i problemy. Materialy XI mezhdunarodnoj nauchno-prakticheskoj konferencii (Gutmanskie chtenija) 15 maja 2018 goda / pod obshh. red. A.I. Novikova i A.E. Illarionova. Vladimir: Vladimirskij filial RANHiGS, 2018. P. 236–244.
13. Chumak O.V. Jentropii i fraktaly v analize dannyh. M.;Izhevsk: NIC «Reguljatornaja i haoticheskaja dinamika», Institut komp’juternyh issledovanij, 2011. 164 p.
Review
For citations:
Kislyakov A.N. Asymmetry of Information in the Analysis of Socio-Economic Processes. Vestnik NSUEM. 2020;(1):64-75. (In Russ.) https://doi.org/10.34020/2073-6495-2020-1-064-075
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