Monetary Transmission in Low Income Countries [electronic resource] / Peter Montiel.

By: Montiel, PeterContributor(s): Mishra, Prachi | Montiel, Peter | Spilimbergo, AntonioMaterial type: TextTextSeries: IMF Working Papers; Working Paper ; No. 10/223Publication details: Washington, D.C. : International Monetary Fund, 2010Description: 1 online resource (42 p.)ISBN: 1455208884 :ISSN: 1018-5941Subject(s): Bank Lending | Central Bank | Exchange Rate | Government Securities | Institutions | Interest Rate | Georgia | Malawi | Morocco | Namibia | TunisiaAdditional physical formats: Print Version:: Monetary Transmission in Low Income CountriesOnline resources: IMF e-Library | IMF Book Store Abstract: This paper reviews monetary transmission mechanisms in low-income countries (LICs) to identify aspects of the channels that may operate differently in LICs relative to advanced and emerging economies. Given the weak institutional frameworks, reduced role of securities markets, imperfect competition in the banking sector and the resulting high cost of bank lending to private firms, the traditional channels (interest rate, bank lending, and asset price) are impaired in LICs. The exchange rate channel is also undermined by central bank intervention in the foreign exchange market. These conclusions are supported by review of the institutional frameworks, statistical analysis, and previous literature.
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This paper reviews monetary transmission mechanisms in low-income countries (LICs) to identify aspects of the channels that may operate differently in LICs relative to advanced and emerging economies. Given the weak institutional frameworks, reduced role of securities markets, imperfect competition in the banking sector and the resulting high cost of bank lending to private firms, the traditional channels (interest rate, bank lending, and asset price) are impaired in LICs. The exchange rate channel is also undermined by central bank intervention in the foreign exchange market. These conclusions are supported by review of the institutional frameworks, statistical analysis, and previous literature.

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