Abstract

In many countries related to emerging markets (EM), there is a high proportion of the shadow economy. The main source of shadow incomes replenishment are incomes that are actually generated in the official sector of the economy, however, they are withdrawn to the shadow segment. The article is dedicated to solving the actual task of income amount estimating that flows from the official sector of the economy to the shadow one. The paper shows that the amount of annual profits that "poured" into the shadow sector corresponds to the size of the hidden (implicit) payment for capital. The problem of shadow payment for capital is closely connected with the shadowing of profits, salaries and payments for the resources usage.
 The causal relationship between risk premium, shadow economy and key macroeconomic parameters of individual countries are shown in the article. The average income to GDP per capita ratio in Ukraine and other EM countries is significantly lower than in developed countries. In addition, there is a low share of staff costs in the structure of costs of enterprises. Thus, in the EM countries, the orientation of the business to the interests of the shareholders is clearly manifested and the interests of the stakeholders are ignored. In emerging markets, an increase in risks primarily leads to an increase in the risk premium and the shadowing level, to rising prices and to a substantial reduction in real salaries.
 For the estimation of real capital expenditures, it is advisable to use indirect methods, especially modification of capital assets pricing model (CAPM), adapted to the conditions of the EM. The proposed modification (hybrid crisis model) involves minimum usage of the data from the local financial market. It includes the following parameters: global risk-free rate of return, global market premium for risk, country risk premium, beta-factor, calculated on the basis of the analogue approach, and premium for specific risks of investing in a particular asset. According to our assumption, the shadow interest rate on capital is the difference between the expected return by CAPM and the averaged ROE that follows from the official reporting. Thus, the size of annual profits, "transferred" into the shadow sector, corresponds to the size of the implicit capital charge. The calculations made have showed a stable relationship between the level of country risks and the size of shadow revenues in the country.

Highlights

  • For the estimation of real capital expenditures, it is advisable to use indirect methods, especially modification of capital assets pricing model (CAPM), adapted to the conditions of the emerging markets (EM)

  • The shadow interest rate on capital is the difference between the expected return by CAPM and the averaged ROE that follows from the official reporting

  • Different publications mean under the sizes of shadow economy the income, accruals, revenue position that are made by a shadow sector or a size of involved resources and quantity of workers

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Summary

Country rating

If the incomes are higher, the extent of concealment of income is higher too. Taking into consideration the abovementioned, it is possible to admit that the expenses on the debt capital attracted under non-market conditions in general will be lower than the market interest rate for capital with similar conditions This is explained by the fact that in the process of receipt of such capital, the corruption or criminal component is often involved. In order to estimate the shadow sector of capital payment, it is expedient to use information regarding the amount of official payments within the framework of payment for capital in terms of its separate categories and the rate of return expected by the investors It is about official dividends, the sizes of hoarding income, interest on bonds or bank loans. Lessard and there has been offered a model for determination of rate of expenses on capital in case of financial crises in the country and absence of equity market that is trustworthy

Modifications САРМ for emerging markets
Conclusions
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