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Interaction of formal and informal financial markets in quasi-emerging market economies
Affiliation:1. University of KwaZulu-Natal, School of Accounting, Economics & Finance, Westville campus, Durban, South Africa;2. University of Pretoria, School of Economics, Lynnwood Road, Pretoria 0002, South Africa;1. Department of Finance, National Sun Yat-sen University, Kaohsiung, Taiwan;2. Department of Accounting Information, National Taichung University of Science and Technology, Taichung, Taiwan;3. Department of Risk Management and Insurance, Feng Chia University, Taichung, Taiwan;1. Finance and Economics, College of Industrial Management, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia;2. Finance and Economics, College of Business and Economics, Qatar University, Doha, Qatar;3. Lebow College of Business, Drexel University, Philadelphia, PA, USA;4. IPAG LAB, IPAG Business School, Paris, France
Abstract:The primary objective of this paper is to investigate the interaction of formal and informal financial markets and their impact on economic activity in quasi-emerging market economies. Using a four-sector dynamic stochastic general equilibrium model with asymmetric information in the formal financial sector, we come up with three fundamental findings. First, we demonstrate that formal and informal financial sector loans are complementary in the aggregate, suggesting that an increase in the use of formal financial sector credit creates additional productive capacity that requires more informal financial sector credit to maintain equilibrium. Second, it is shown that interest rates in the formal and informal financial sectors do not always change together in the same direction. We demonstrate that in some instances, interest rates in the two sectors change in diametrically opposed directions with the implication that the informal financial sector may frustrate monetary policy, the extent of which depends on the size of the informal financial sector. Thus, the larger the size of the informal financial sector the lower the likely impact of monetary policy on economic activity. Third, the model shows that the risk factor (probability of success) for both high and low risk borrowers plays an important role in determining the magnitude by which macroeconomic indicators respond to shocks.
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