Interest Rate Volatility and Economic Growth in Nigeria: New Insight from the Quantile Autoregressive Distributed Lag (QARDL) Model

Author:

Olasehinde-Williams Godwin,Omotosho Ruth,Bekun Festus VictorORCID

Abstract

AbstractThis is a study on interest rate volatility, a crucial form of volatility which affects local and foreign investments in the real and financial sectors. Whether to prioritize interest rate stability to prevent distortions in the market mechanism or to prioritize other macroeconomic objectives while allowing interest rates to independently react to market forces is a key question for Nigeria’s apex monetary authority. Answering this question is the primary motivation for this research. This paper is an attempt to establish the effect of interest rate volatility on economic growth and further conclude on the suitability of the financial liberalization policy in Nigeria. To reach an evidence-based conclusion, the paper analyzes the relationship between interest rate volatility and economic growth in Nigeria for the period 1981–2020. The QARDL procedure was employed to establish the short-run and long-run quantile-specific impacts of interest rate volatility. As a final step, Granger causality tests are conducted to investigate the predictive powers of the variables. It is discovered from the econometric analysis that interest rate volatility adversely affects the economic performance of Nigeria in both the short run and long run. Consequently, full liberalization is not suitable for the economy. Moreover, we find that the short-run adverse growth effect of interest rate volatility is greater when the economy is already in a relatively weak state, whereas the long-run adverse growth effect is greater when the economy is already in a relatively strong position. The findings sufficiently prove that full interest rate liberalization is not Pareto efficient for Nigeria. Hence, greater supervision of the interest rate corridor system to reduce volatility in the rates and minimize chances of persistent upward or downward bias is advised. Study limitations and directions for further research are also provided.

Funder

Istanbul Gelişim University

Publisher

Springer Science and Business Media LLC

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