Investor compensation fund: an optimal size for countries with developed stock markets and Ukraine

Author:

Shkolnyk Inna1ORCID,Bondarenko Eugenia2ORCID,Ostapenko Myroslav3

Affiliation:

1. Dr., Professor, Head of Department of Finance, Banking and Insurance, Sumy State University

2. Ph.D., Senior Lecturer, Department of Finance, Banking and Insurance, Sumy State University

3. Ph. D. Student, Department of Finance, Banking and Insurance, Sumy State University

Abstract

A compensation fund is an effective mechanism for ensuring the protection of individual investors’ investments on the stock market, which confirms the experience of different countries both with the developed stock market and with the emerging markets (USA, UK, France, Czech Republic, Bulgaria, Ireland, Malta).The formation of a steady interest of individual investors in stock market instruments is stimulated by the implementation of a mechanism for guaranteeing such investments. The stock market of Ukraine faces the problem of attracting additional financing, while individual investors have fairly large amounts of monetary resources that are not involved in the transactions with financial instruments due to the high level of distrust caused by the crisis phenomena on both the global and the national financial markets. The creation of the Ukrainian compensation fund for investment protection involves the development and implementation of a nationwide system for protecting the property interests of investors on the stock market, which requires compensatory payments to the clients of all professional market participants as a result of certain risks.The main condition for effective functioning of the compensation fund of the stock market is determined by its size, which must meet the following conditions of optimality: to ensure the minimum level of the fund’s risks, to take into account the amounts of contributions for the current period, the amount of maintenance costs and to fulfil the requirements for the financial stability of the fund. A modified Markowitz portfolio model was used to build the model.The building of the target function and constraints was carried out by using the Statistica software toolkit. The target function and constraints were presented as polynomials of the third degree and calculated with the help of the multiple nonlinear regression. As a result of calculations, an optimization model was developed for determining the size of the compensation fund taking into account these conditions.The model’s testing was carried out by using the examples of the Deposit Guarantee Fund (DGF) and compensation funds of the United States, Great Britain, France, Czech Republic, Bulgaria, Ireland and Malta. As a result of calculations we determined the size of the compensation fund, which guarantees a minimum level of the fund’s risk taking into account the amount of contributions for the current period, the amount of maintenance costs and requirements to the financial stability of the fund.

Publisher

LLC CPC Business Perspectives

Subject

Strategy and Management,Economics and Econometrics,Finance,Business and International Management

Reference22 articles.

1. Adam C. Pritchard. (1999). Markets as Monitors: A Proposalto Replace Class Actions with Exchangesas Securities Fraud Enforcers University of Michigan Law School. - http://repository.law.umich.edu/cgi/viewcontent.cgi?article=1512&context=articles

2. Impact of return on long-memory data set of volatility of Dhaka Stock Exchange market with the role of financial institutions: an empirical analysis

3. Annual Reports / Financial Services Compensation Scheme of United Kingdom. - https://www.fscs.org.uk/industry/publications/annual-reports/

4. Annual Reports and Financial Statements / Investor Compensation Scheme of Malta. - http://www.compensationschemes.org.mt/Home/ViewContent/35

5. Annual Report / Investor Compansation Fund of Bolgaria. - http://sfund-bg.com/en/publications/annual-report-of-investor-compensation-fund/

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