RAS Social ScienceEconomics and the Mathematical Methods

  • ISSN (Print) 0424-7388
  • ISSN (Online)3034-6177

MODELING OF INVESTOR’S BEHAVIOR ON COMBINED MARKET: FROM SPECIFIC TO GENERAL

PII
S042473880000516-6-1
DOI
10.31857/S0000516-6-1
Publication type
Article
Status
Published
Authors
Volume/ Edition
Volume 53 / Issue 1
Pages
75-93
Abstract

The article is devoted to a very important problem – increase of effectiveness of investment strategy. Directly considered the optimization problem of investor’s behavior on combined market representing as total real and financial markets. The author analyses different types of scenario – from specific to general, and offers a classification of problems depending on investment direction. The author also proposes methods for addressing the problem in the conditions of stationary and nonstationary macro-economic environment. Developed the new specific formulation of problem and presented the decision algorithm depending on macro-economic environment. The paper introduces the problem-solving recommendations for general problem description. New elements are introduced, for example, the decision making using maximization criteria of the two values, defined as selection criterion – the indicator of the effect, which are calculated depending on type of investments for the accounting period; aligned the level of risk in considered segments of combined market for guaranteeing the correct selection. Proposed are the methods for problem solving for stationary and unstable macroeconomic environment concerning risks and uncertainty. Provided the new special problem and algorithm for its decision in a special type of economic environment. Author proposes an algorithm for general problem solving.

Keywords
combined market, stationary economic, non-stationary economy, investment strategy, investment, investor’s behavior, optimization, efficiency criterion
Date of publication
01.01.2017
Number of purchasers
4
Views
890

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Higher Attestation Commission

At the Ministry of Education and Science of the Russian Federation

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Scientific Electronic Library