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Federal finance and statistics / Central Bank of Nigeria

Adaptive Expectation, News Impact and Lending Rate Behaviour in Nigeria: Evidence from GARCH Models

This study investigates how adaptive expectations and news impact shape lending rate behavior in Nigeria within the framework of both symmetric and asymmetric GARCH models. Using monthly data spanning 2006M1 to 2024M5, the paper analyzes the persistence, volatility, and responsiveness of the prime lending rate to positive and negative news shocks. Three error distributions (Normal, Student’s t, and Generalized Error Distribution (GED)) were employed to ensure robust estimation. The findings | Keywords: Asymmetric models, GARCH models, Lending rate, Mean reversion

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