scholarly journals Non-performing Loan and its Effects on Banking Stability: Evidence from National and International Licensed Banks in Nigeria

2019 ◽  
pp. 43-74
Author(s):  
Ngozi, V. Atoi
Keyword(s):  
Weighted Average ◽  
Market Theory ◽  
Vector Autoregressive ◽  
Long Run ◽  
Lending Rate ◽  
International Banks ◽  
Efficient Market Theory ◽  
Short Run ◽  
Banking Stability ◽  
The Stability

This study examines Non-Performing Loan (NPL) and its effects on the stability of Nigerian banks with national and international operational licenses from 2014:Q2 to 2017:Q2. A "restricted" dynamic GMM is employed to estimate the macroeconomic and bank specific drivers of NPL for each licensed category. Z-Score is constructed to proxy banking stability, and its response to shocks NPLs is examined in a panel vector autoregressive framework. The results reveal that drivers of NPLs vary across the two categories of banks, but, weighted average lending rate is a vital macroeconomic driver of NPLs for both. The results also confirm the moral hazard hypothesis and risk-return tradeoff of efficient market theory. Furthermore, international banks withstand NPLs shocks in the long run, despite temporary flux in the short horizon, while the stability of national banks is susceptible to NPLs shocks in the long run. The study recommends that weighted average lending rate, anchored on monetary policy rate should be the focus of banks' regulators when addressing issues of NPLs. Again, strategies for mitigating short run impacts of NPLs on the stability of international licensed banks should be incorporated in the offsite regulatory framework to ensure banking stability.

scholarly journals Evaluating the Effectiveness of the Bird-in-Hand-Dividends Policy in the Stability of Jordanian Listed Banks

2020 ◽  
Vol 11 (4) ◽  
pp. 96
Author(s):  
Mohammad Sami Ali
Keyword(s):  
Single Equation ◽  
Set Covering ◽  
Data Set ◽  
Correction Model ◽  
Long Run ◽  
Short Run ◽  
Banking Stability ◽  
The Stability ◽  
Adf Test ◽  
Score Index

The present paper is empirically scrutinized the long and short-run causalities, which are running from the bird-in-hand dividends policy towards investors' preferences as proxied by banks’ stability. Through analyzing a quarterly data set covering the period Q1/1996-Q4/2018; results from the ADF test proved that the series variables became stationary only after including the first difference. However, although the Johansen test showed long-run integrations among variables; findings from the single equation of the error correction model asserted that there are no long-run causalities running from dividends’ policy towards investors’ preferences as captured by the Z-Score index “ZSI”, bankometer model or market capitalization. By contrast, results from the Waldtest proved that except for earnings per share and retained ratio; the solvency of banks is found to be significantly responding to the change in dividends payout ratio. However, since there are short-run correlations among dividends’ stability, investors’ preferences and banking stability, the study concluded that the ZSI is significantly related to investors’ attitudes towards banks' decisions regarding dividends’ payments.

scholarly journals Persistent Liquidity Effects and Long-Run Money Demand

2014 ◽  
Vol 6 (2) ◽  
pp. 71-107 ◽  
Author(s):  
Fernando Alvarez ◽  
Francesco Lippi
Keyword(s):  
Interest Rates ◽  
Money Demand ◽  
Asset Markets ◽  
Propagation Mechanism ◽  
Monetary Model ◽  
Long Run ◽  
Short Run ◽  
The Stability ◽  
Two Parameters

We present a monetary model with segmented asset markets that implies a persistent fall in interest rates after a once-and-for-all increase in liquidity. The gradual propagation mechanism produced by our model is novel in the literature. We provide an analytical characterization of this mechanism, showing that the magnitude of the liquidity effect on impact, and its persistence, depend on the ratio of two parameters: the long-run interest rate elasticity of money demand and the intertemporal substitution elasticity. The model simultaneously explains the short-run “instability” of money demand estimates as well as the stability of long-run interest-elastic money demand. (JEL E13, E31, E41, E43, E52, E62)

scholarly journals Analysis of the Keynesian Theory of Employment and Sectoral Job Creation: The Case of the South African Manufacturing Sector

2018 ◽  
Vol 18 (1) ◽  
pp. 123-143
Author(s):  
Thomas Habanabakize ◽  
Paul-Francois Muzindutsi
Keyword(s):  
South African ◽  
Manufacturing Sector ◽  
Job Creation ◽  
The South ◽  
Economic Sectors ◽  
Vector Autoregressive ◽  
Integration Approach ◽  
Long Run ◽  
Short Run ◽  
Investment Spending

Abstract The manufacturing sector is one of the backbones of the South African economy, and yet is one of the economic sectors facing challenges in job creation. This study analysed the long-run and short-run effects of aggregate expenditure components on job creation in the South African manufacturing sector. A Vector Autoregressive (VAR) with Johansen co-integration approach was used to analyse quarterly data from 1994 to 2015. The findings are that there is a long-run relationship between aggregate expenditure and job creation in the South African manufacturing sector, with government and investment spending being the major components of aggregate expenditure that create jobs in the South African manufacturing sector. Conversely, consumption spending destroys jobs in the manufacturing sector, while net exports have no significant effect on job creation. The short-run relationship between variables was not significant. Recommendations are that more effort should be put into investment spending, and government should spend more on investment than on consumption spending - in order to increase job creation in the manufacturing sector.

scholarly journals Effects of Interest Rate on Stock Market Returns in Kenya

2017 ◽  
Vol 9 (8) ◽  
pp. 40
Author(s):  
Donald A. Otieno ◽  
Rose W. Ngugi ◽  
Nelson H. W. Wawire
Keyword(s):  
Interest Rate ◽  
Stock Market ◽  
Granger Causality ◽  
Moving Average ◽  
Market Returns ◽  
Treasury Bills ◽  
Stock Market Returns ◽  
Long Run ◽  
Lending Rate ◽  
Short Run

Debate on the stochastic behaviour of stock market returns, 3-month Treasury Bills rate, lending rate and their cointegrating residuals remains unsettled. This study examines the stochastic properties of the macroeconomic variables, stock market returns and their cointegrating residuals using an Autoregressive Fractionally Integrated Moving Average (ARFIMA) model. It also investigates Granger causality between the two measures of interest rate and stock market returns. The study uses monthly data from 1st January 1993 to 31st December 2015. The results indicate that the 3-month Treasury Bills rate, lending rate and stock market returns are fractionally integrated which implies that shocks to the variables persist but eventually disappear. The results also reveal that the cointegrating residuals are fractionally integrated which suggests that a new and harmful long-run equilibrium might be established when each of the measures of interest rate is driven away from stock market returns. Additionally, the results indicate that the 3-month Treasury Bills rate and lending rate negatively Granger cause stock market returns in the long run. This suggests that stocks and Treasury Bills are competing investment assets. On the other hand, ARFIMA-based Granger causality reveals that stock market returns lead the 3-month Treasury Bills rate and lending rate with a negative sign in the short run. This implies that a prosperous stock market results into a favorable macroeconomic environment. A key contribution of this study is that it is the first to empirically examine fractional cointegration and ARFIMA-based Granger Causality between interest rate and stock market returns in Kenya.

The Dynamics of Exports and Economic Growth: Assessing the Evidence from Nigeria

2018 ◽  
Vol 4 (1) ◽  
pp. 15-22
Author(s):  
Clement A.U. Ighodaro ◽  
Ovenseri-Ogbomo F. O.
Keyword(s):  
Economic Growth ◽  
Social Services ◽  
Time Series Data ◽  
Positive Impact ◽  
Capital Expenditure ◽  
Impulse Response Function ◽  
Series Data ◽  
Vector Autoregressive ◽  
Long Run ◽  
Short Run

The paper empirically examines the dynamics of exports and economic growth in Nigeria using time series data for 1970 to 2017. The Vector autoregressive model (VAR) was used to investigate the long run and short run relationship between exports and economic growth as well as some selected variables. The result shows that there exists a stable long run relationship among economic growth, exports, capital expenditure on education and social services. Also, the Granger causality results reveal that export Granger causes economic growth and not the other way round. This means that an increase in economic growth may result from increase in export, but increase in economic growth does not necessarily lead to increase in exports. The Impulse Response Function (IRF) shows that a one standard innovation in exports will lead to permanent positive impact on economic growth in Nigeria. This therefore supports the exports led growth hypothesis for Nigeria.

scholarly journals Credit management and performance of deposit money banks in Nigeria

2019 ◽  
Keyword(s):  
Deposit Insurance ◽  
Secondary Data ◽  
Data Bank ◽  
Positive Influence ◽  
Annual Reports ◽  
Credit Management ◽  
Long Run ◽  
Lending Rate ◽  
Negative Effect ◽  
Short Run

Granting of loans and advances remains one of the ways deposit money banks generate income to boost their performance. However, as important as this appears, it has led to incidence of rising non-performing loans in the credit portfolio of deposit money banks. Against this backdrop, this study investigated the effect of credit management on the performance of deposit money banks in Nigeria. The study employed secondary data sourced from Central Bank of Nigeria (CBN) statistical bulletin and annual reports of Nigeria Deposit Insurance Corporation (NDIC) from 1986 to2016. From the data, bank performance (dependent variable) was measured by return on assets (ROA) while credit management (independent variable) was proxied by ratio of non-performing loans to total loans (NPFL), bank deposit (BDEP) and lending rate (LENDR). The study employed autoregressive distributed lag (ARDL) technique to examine the effect of the independent variables on the dependent variable. The findings revealed that ratio of non-performing loans to total loans with coefficient of -0.362733 had negative effect in the short run but produced positive effect on performance of deposit money banks in the long run as indicated by the coefficient of 1.583503. On the other hand, bank deposit exhibited positive influence while lending rate had negative effect on the dependent variable both in the short run and long run. Given the overall significance of the model, it was concluded that credit management had significant effect on performance of deposit money banks in Nigeria. Thus, it was recommended that bank management should endeavor to reduce incidence of non-performing loans by conducting thorough assessment of any credit application prior to approval, especially customer’s character and previous credit record. Also, banks should closely monitor customer’s investment activities to ensure that granted loans are not diverted to unprofitable ventures which the loans are not initially meant for.

IDENTIFICATION AND DICHOTOMIZATION OF LONG- AND SHORT-RUN RELATIONS OF COINTEGRATED VECTOR AUTOREGRESSIVE MODELS

2001 ◽  
Vol 17 (5) ◽  
pp. 889-912 ◽  
Author(s):  
Cheng Hsiao
Keyword(s):  
Prior Information ◽  
Autoregressive Process ◽  
Rank Condition ◽  
Vector Autoregressive ◽  
Long Run ◽  
Vector Autoregressive Process ◽  
Short Run ◽  
Cowles Commission ◽  
Necessary And Sufficient ◽  
The Relationship

We show that the usual rank condition is necessary and sufficient to identify a vector autoregressive process whether the variables are I(0) or I(d) for d = 1,2,.... We then use this rank condition to demonstrate the interdependence between the identification of short-run and long-run relations of cointegrated process. We find that both the short-run and long-run relations can be identified without the existence of prior information to identify either relation. But if there exists a set of prior restrictions to identify the short-run relation, then this same set of restrictions is sufficient to identify the corresponding long-run relation. On the other hand, it is in general not possible to identify the long-run relations without information on the complete structure. The relationship between the identification of a vector autoregressive process and a Cowles Commission dynamic simultaneous equations model is also clarified.

Infrastructure investment and employment: Evidence for Portugal

2021 ◽  
Vol 5 (2) ◽  
pp. 1377
Author(s):  
Alfredo M. Pereira ◽  
Rui M. Pereira ◽  
Pedro G. Rodrigues
Keyword(s):  
Infrastructure Investment ◽  
Supply Side ◽  
Long Term Effects ◽  
Demand And Supply ◽  
Vector Autoregressive ◽  
Employment Effects ◽  
Long Run ◽  
Short Run ◽  
Infrastructure Investments

We estimated how investment in 12 infrastructure types affects employment in Portugal. Using a vector-autoregressive specification at the industry level, we found a double dividend associated with ports and airports: investing in either delivers the greatest bang per euro, both on impact and in the long run. One million euros invested in ports and airports creates 717.1 and 290.5 jobs in the long run, respectively, and 535 and 253.3 jobs in the short run, respectively. Regarding long-term employment effects, these are followed by municipal roads, telecommunications, national roads, health structures, education facilities, refineries, railroads, and highways. Water infrastructures and electricity and gas infrastructures have negligible effects. With the long-term effects decomposed, sizable supply-side employment effects for health and education facilities exist, while demand-side effects dominate for airports, ports, municipal roads, and telecommunications. Employment following the investment in national roads is balanced across demand and supply channels. We found no significant employment-related location effects of infrastructure investments. Also, investing in either health facilities or in education buildings entails non-negligible job losses in the short run. These results suggest that the magnitude and the timing of job creation crucially depend on the type of infrastructure investment. Policymakers in Portugal need to be aware of this in choosing between countercyclical or structural targets.

scholarly journals Government revenue and expenditure nexus in South Africa

2013 ◽  
Vol 10 (2) ◽  
pp. 256-269 ◽  
Author(s):  
Esman Nyamongo ◽  
Niek Schoeman ◽  
Moses Sichei
Keyword(s):  
South Africa ◽  
Granger Causality ◽  
Government Expenditure ◽  
Unit Roots ◽  
Government Revenue ◽  
Test Results ◽  
Vector Autoregressive ◽  
Seasonal Unit Roots ◽  
Long Run ◽  
Short Run

This paper investigates the nexus between government expenditure and government revenue in South Africa within the framework of a vector autoregressive (VAR) approach. It uses the Hylleberg et al. (1990) method to test for seasonal unit roots and finds that government revenue and government expenditure have unit roots at all frequencies. The Johansen procedure test results reveal that these variables are cointegrated. It is further established that revenue and expenditure are linked bidirectionally by Granger causality in the long-run, while there is no evidence of Granger causalityin the short-run in South Africa.

scholarly journals THE LONG-RUN RELATIONSHIP BETWEEN INFLATION AND REAL STOCK PRICES: EMPIRICAL EVIDENCE FROM SOUTH AFRICA

2012 ◽  
Vol 13 (4) ◽  
pp. 600-613 ◽  
Author(s):  
Riona Arjoon ◽  
Mariëtte Botes ◽  
Laban K. Chesang ◽  
Rangan Gupta
Keyword(s):  
South Africa ◽  
South African ◽  
Stock Prices ◽  
Stock Price ◽  
Positive Real ◽  
Vector Autoregressive ◽  
Price Response ◽  
Long Run ◽  
Short Run ◽  
Real Value

The existing literature on the theoretical relationship between the rate of inflation and real stock prices in an economy has shown varied predictions about the long run effects of inflation on real stock prices. In this paper, we present some time series evidence on this issue using South African data, by applying the structural bivariate vector autoregressive (VAR) methodology proposed by King and Watson (1997). Our empirical results provide considerable support of the view that, in the long run real stock prices are invariant to permanent changes in the rate of inflation. The impulse responses reveal a positive real stock price response to a permanent inflation shock in the long run, indicating that any deviations in short run real stock prices will be corrected towards the long run value. It is therefore concluded that inflation does not lower the real value of stocks in South Africa, at least in the long run.

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