Search results

This study aims to empirically investigate the effect of digital currency development (digital finance) on financial inclusion in Nigeria for the period. Nigeria undertook her digital currency development to rip the benefits of financial inclusion, safer remittances and exchange rate regularization among others.

The researchers developed high-frequency quarterly data for the analysis from 2006:1 to 2020:4 in a weighted stepwise forward regression. A model similar to the one used by Demir et al. (2020) and Altunbas and Thornton (2019) with some modifications was developed.

Findings suggest that (1) a unit rise in the usage of automated teller machines by citizens spontaneously raised financial inclusion in a quarter in Nigeria by 0.012 units and were statistically significant; (2) a percentage rise in the use of point of sales transaction by citizens in the country also raised financial inclusion in Nigeria by approximately 1%; (3) a percentage increase by mobile payment users in Nigeria will spontaneously increase financial inclusion by at least 0.4%; (4) a percentage rise in web payment services reduces financial inclusion by 22% in Nigeria; (5) Cumulative positive effect of digital finances on financial inclusion in Nigeria was approximately 7%.

The researches show, using in-sample forecast, that while financial inclusion will grow in Nigeria, it will not be without systemic fluctuations. Based on the outcome, it is proposed that if the present digital currency penetration for the country is sustained at the present growth rate, the country may be more financially inclusive by 2% additionally by 2025 and 4% more by 2030.

Originally, it is found that digital currency development are positive derivatives for financial inclusion in Nigeria. Cumulatively, the effect of digital finances on financial inclusion in Nigeria is approximately 7% positive.

This paper seeks to model the daily and weekly forecasting of the currency in circulation (CIC) for the State of Qatar.

The paper employs linear forecasting models, the regression model and the seasonal ARIMA model to forecast the CIC for Qatar.

Comparing the linear methods, the seasonal ARIMA model provides better estimates for short‐term forecasts. The range of forecast errors for the seasonal ARIMA model forecasts are less than 100 million QR for the short‐term CIC forecasts.

The findings of this paper suggest that the CIC in Qatar is in a pattern and it would be easier to forecast the currency in circulation in Qatar economy. Accurate estimates of money market liquidity would help Qatar Central bank, to maintain the price stability in the Qatar economy.

This paper forecasts the currency in circulation for the State of Qatar. Additionally, the empirical part of the paper compares the different methodologies find the appropriate model for the CIC for the state of Qatar.

This paper aims to shed light on financial development in Ethiopia and its implications for overall economic development. It does so with particular focus on development understood as industrial development and with special attention drawn on inequality and debt levels as well as the real estate market in Ethiopia. Two research questions are focussed on in particular, where the first serves as prerequisite for the assessment of the second: What kind of financial development took place in Ethiopia in the past quarter of a century? Furthermore, are processes of financialisation visible in Ethiopia, and if so, to what effect?

The paper is based on publicly available macro-data and qualitative and quantitative data collected by the author herself during a three months’ research stay in Ethiopia.

It is found that despite higher levels of financial inclusion and deepening, industrialisation is on a relative decline. What is more, inequality and debt levels increase, and the recent growth spurts seem to be rooted in the construction sector with prices in the real estate market surging. In can be concluded that despite a flourishing financial sector, the Ethiopian economy is faced with the peril of crises associated with an inflated real estate market, inequality, debt burdens and impeded industrialisation.

African economies and, in particular, the development and effects of financial markets are still a blind spot in economic research. By combining quantitative and qualitative data on and gathered in Ethiopia, this paper therefore conducts greenfield research.

Presents a paper written by Lauchlin Currie in November 1992 in which he identifies and defends the concepts of money and the demand for it. The paper argues that the heavy cost of maintaining checking accounts is not reasonably explained by the conventional listing of motivations, especially in the case of large deposits. A new hypothesis is given on the demand for money. The paper concludes that checking accounts possesses the further essential quality of being quantitatively subject to control, which in turn permits a limitation of the total quantity of demand deposits and hence of money.

This paper aims to evaluate how strands of differing investments influence stability in the banking industry using data from 37 countries in Sub-Sahara Africa from 2000 to 2018.

Empirical analyses in the study were carried out using a two-step system Generalized Method of Moments estimation methodology.

Empirical results suggest that generally, growth in investments by governments, foreign investments and private domestic investments have a significant positive impact in stabilizing the banking industry. The empirical estimates further suggest that macroeconomic conditions such as macroeconomic uncertainty adversely affects the liquid reserve position of banks even during periods of appreciable growth in investments.

The authors present a different approach to the banking industry discourse. Instead of surmise the relationship with the direction of impact often emanating from the banking industry to other variables of interest or conditions, this study rather examines how investment dynamics among economies influence the stability of the banking industry overtime. In contrast to related studies, this study examines how strands of investment variables influence the stability of the banking industry. Specifically, this study is modeled to examine the extent to which variability in investment growth (using different investment variables) affect stability in the banking industry.

This research examines the long-run relationship between microfinancial inclusion and poverty alleviation in Nigeria from 1990 to 2018.

the Engle–Granger two-step co-integration and autoregressive distributed lag (ARDL) techniques. Gross domestic product (GDP) per capita proxies poverty reduction. Number of microfinance banks, borrowers of microfinance institutions, commercial bank branches, commercial bank loan to small-scale businesses and broad money supply ratio measure microfinancial inclusion.

The results indicate a long-run relationship between microfinancial inclusion and poverty reduction. The error correction model reveals that microfinancial inclusion and poverty alleviation converge to long-run equilibrium. The number of microfinance banks, lagged value of borrowed funds and broad money supply negatively influences poverty while the lagged values of number of microfinance banks and broad money supply positively influence poverty.

Effective ways to improve microcredit channels and liquidity flow to the poor through a microfinance bank's intermediation should be promoted by the Central Bank of Nigeria (CBN) using an aggressive policy, which provides access to credit to the poor.

Theoretically, microfinance institutions should increase credit to the poor, especially in rural areas at moderate cost. This study further suggests that many microfinance bank branches should be located in urban and rural areas targeting the poor.

Microfinancial inclusion reduces population's poverty in Nigeria and globally.

Contrary to other studies, this paper utilizes number of microfinance institutions and borrowers of microfinance institutions to examine the relationship between microfinancial inclusion and poverty alleviation in Nigeria.

The purpose of this paper is to present an analysis of the size of the banking sectors in central and Eastern European (CEE) countries. The banking sectors' ability is focused to provide financial intermediation between savers and investors in the economy.

The existing literature on banking in transition economies argues in unison that banking sectors in CEE countries are too small and do not provide sufficient levels of financial intermediation. In this paper, a common drawback of the existing measures used to indicate the size of CEE banking sectors is detected: they all relate the volume of bank intermediation to gross domestic product (GDP). It is argued that since transition economies have a low stock of financial wealth relative to economic activity, a more objective measure of the size of the banking sector is the ratio of bank assets to a proxy of the stock of financial wealth rather than to GDP.

There is evidence that the estimation of the size of the banking sectors relative to GDP produce downward biased measures for the ability of CEE banks to intermediate available financial resources. When the size of the banking sector is measured relative to financial wealth, the gap between the developed European Union banking systems and those of the CEE countries is not as severe as argued in studies based on the traditional approach of measuring the size of the banking system with respect to GDP.

Using the downward biased measure of financial system development to stress the underdevelopment of the financial intermediation in CEE may produce misleading policy recommendations, e.g. recommendations in the direction of rapid financial system expansion by lowering barriers of entry for new banks. The authors' new measure presents an alternative that should be considered by policy makers in the design of measures promoting financial system development.

The paper challenges the existing consensus on severe underdevelopment of the CEE banking sectors. It presents a new approach of accessing financial system development in emerging economies.

This paper aims to examine the effect of financial technology on cash holding in Nigeria.

The authors use Pesaran et al.’s (2001) autoregressive distributed lag (ARDL) bounds test approach to cointegration to estimate the long-run relationship between four direct measures of financial technology (automated teller machine [ATM], Internet banking [IB], point of sale [POS] and mobile banking [MB]) and cash holding.

The authors find the presence of long-run negative relationship between cash holding and the four direct measures of financial technology.

Despite the negative effect of financial technology on cash holding, the descriptive results highlight increasing trajectory in cash holding. This suggests that structural factors such as ethical climate, literacy level, household characteristics, currency denomination structures, economic uncertainty and infrastructure deficit may account for the pervasive cash transactions in Nigeria and not necessarily the unwillingness of economic agents to use digital platform for financial transactions.

This study contributes to existing literature by augmenting the money demand function to accommodate direct measures of financial technology in examining the effectiveness of the policy on cash holding in Nigeria.

Examines the economic distribution of demand deposits during 1935 in the USA. Concludes that data on the distribution of money permit a significant advance in the understanding of the factors reflected in changes in income velocity.

Presents a paper by Lauchlin Currie written in January 1991 in which he makes suggestions for organizational changes that might serve to improve the formulation of monetary policy in Columbia.