Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/306725 
Year of Publication: 
2022
Citation: 
[Journal:] CBN Journal of Applied Statistics [ISSN:] 2476-8472 [Volume:] 13 [Issue:] 1 [Year:] 2022 [Pages:] 93-121
Publisher: 
The Central Bank of Nigeria, Abuja
Abstract: 
This study examines the effect of monetary policy rate (MPR) on market interest rates in Nigeria. For parsimony, we develop two indexes called the short-term in- terest rate (SINT) and Lending interest rate (LINT) to represent deposit and lending rates respectively. The nonlinear autoregressive distributed lag (NARDL) and thres- hold regression models are adopted. The study uses monthly data from 2002:M1 to 2019:M12. The results of the threshold regression model indicate that the degree of the effect of MPR on SINT and LINT above the estimated threshold of 11 and 13 percent respectively is greater and significant than if MPR were to be below the threshold. Moreover, estimates from the nonlinear ARDL model show that increas- ing MPR induces a positive effect on short-term and lending interest rates, while a negative effect holds if MPR is decreased. For LINT, the magnitude of the negative effect is little, while for SINT, the effect is statistically insignificant. This depicts the downward stickiness of prices, which supports the argument that the inefficitveness of MPR only holds when it is adjusted downward. We recommend that the monetary authority should focus on reforming the banking system in ways that remove down- ward rigidities in the effect of MPR on interest rates in order to engender greater efficiency of monetary policy.
Subjects: 
Interest rate
monetary policy rate
nonlinear threshold regression
JEL: 
C22
C24
E43
E52
E58
Persistent Identifier of the first edition: 
Document Type: 
Article

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