This thesis investigates the relationship between economic growth and financial development in developing countries over 1988-2001. Previous studies have generally used averaged data, for both developing and developed countries, and inappropriate estimation methods. In an attempt to reach some definitive conclusions, Generalised Method of Moments dynamic estimation is used with a newly collected panel of annual data to assess the relationship. The results show that while banks performance has a negative impact on growth, stock markets positively promote growth. To reach an overall conclusion about the impact of finance on growth and to solve the problems associated with the existence of multicollinearity among the different measures of financial development, principal components analysis is used to generate new, comprehensive measures of financial development. In assessing the link between the new measures and financial development and growth, the results support the existence of an overall positive relationship. The thesis also examines the behaviour of interest rates in developing and industrialised countries using individual and panel unit root tests. The results are sensitive to the choice of the test, country and time unit.

Stock markets, banks and economic growth

Information and Communication Technologies in Tourism

Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets

Asymmetric volatility spillovers between oil and stock markets: Evidence from China and the United States

Hedging oil price risk with gold during COVID-19 pandemic

Volatility persistence and returns spillovers between oil and gold prices: Analysis before and after the global financial crisis

Volatility forecasting with the wavelet transformation algorithm GARCH model: Evidence from African stock markets

Comparison of forecasting performance between MODWT-GARCH(1,1) and MODWT-EGARCH(1,1) models: Evidence from African stock markets

This paper employs text-mining techniques to analyse the communication strategy of the Central Bank of Nigeria (CBN) during the period 2004-2019. Since the policy communique released after each meeting of the CBN’s monetary policy committee (MPC) represents an important tool of central bank communication, we construct a corpus based on 87 policy communiques with a total of 123, 353 words. Having processed the textual data into a form suitable for analysis, we examined the readability, sentiments, and topics of the policy documents. While the CBN’s communication has increased substantially over the years, implying increased monetary policy transparency; the computed Coleman and Liau readability index shows that the word and sentence structures of the policy communiques have become more complex, thus reducing its readability. In terms of monetary policy sentiments, we find an average net score of -10.5 per cent, reflecting the level of policy uncertainties faced by the MPC over the sample period. In addition, our results indicate that the topics driving the linguistic contents of the communiques were influenced by the Bank’s policy objectives as well as the nature of shocks hitting the economy per period.

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A Text Mining Analysis of Central Bank Monetary Policy Communication in Nigeria

In this paper, we trace the transmission of monetary policy shocks from three prominent sources of global financial and trade shocks (US, Europe, and China) to the two largest emerging economies in Sub-Saharan Africa (SSA) (Nigeria and South Africa). To pursue this study's objective, we employ Global Vector Autoregression (GVAR) model and update the common GVAR database to accommodate selected SSA countries. We report impulse response functions obtained from the model to analyse the responses of inflation, exchange rate, interest rate, and output in the emerging SSA economies to monetary policy shocks emanating from the large open economies. We document some new findings on the relationship between international monetary policy and the behaviour of economic factors in the emerging SSA countries. First, we show that tight monetary policy in the US and EU moderates prices in Nigeria while it is inflationary in South Africa. Second, the impact of the same policy shock is positive and prolonged on the Nigerian Naira and South African Rand. Third, the monetary policy decisions in China and the US have greater influence on the monetary policy in Nigeria and South Africa compared to similar policy decisions in the EU.

Mohammed M. Tumala

Papers

Volatility persistence and returns spillovers between oil and gold prices: Analysis before and after the global financial crisis

Volatility forecasting with the wavelet transformation algorithm GARCH model: Evidence from African stock markets

Comparison of forecasting performance between MODWT-GARCH(1,1) and MODWT-EGARCH(1,1) models: Evidence from African stock markets

A Text Mining Analysis of Central Bank Monetary Policy Communication in Nigeria

International monetary policy spillovers to emerging economies in Sub-Saharan Africa: A global VAR analysis