Mogaji, Peter Kehinde (2018): Probit Modelling and Evaluation of Banking Sector Fragility within the West African Monetary Zone.
Preview |
PDF
MPRA_paper_98695.pdf Download (1MB) | Preview |
Abstract
This paper aims at investigating the fragility of banking sectors within the West African Monetary Zone and drawing inferences on the implications of the instability (or otherwise) of the banking systems for the proposed currency union in West Africa. As a matter of relevance and significance, the degree of fragility of the six banking sectors within the WAMZ was investigated so as to determine the extent to which this future currency union in prone to banking sector-induced financial instability which could bring the feasibility and sustainability of the currency union into jeopardy and doubt. Drawing from the theoretical underpinnings of probit model, multivariate probit regression models of banking sector fragility were constructed for the banking sectors in the member countries of the WAMZ. Determinants of the probability of crisis within these banking sectors were employed in multivariate probit models specification with annual data of these six WAMZ countries spanning over a period of time between 1980 and 2013 in which event approach was adopted in identifying episodes of banking problems over this 14-year period. The study noted the stability (or otherwise) of the Nigerian banking sector as paramount, conveying crucial implications for overall banking sector of the proposed WAMZ, given the country's banking strength and presence across the whole sub-continent. From the general outcomes of the probability tests of banking fragility across the WAMZ, banking systems within the zone portend moderate stability which gives assurance of a stable monetary integration of the WAMZ for now
Item Type: | MPRA Paper |
---|---|
Original Title: | Probit Modelling and Evaluation of Banking Sector Fragility within the West African Monetary Zone. |
English Title: | Probit Modelling and Evaluation of Banking Sector Fragility within the West African Monetary Zone. |
Language: | English |
Keywords: | Banking Fragility, Banking Stability, Probit Modelling, WAMZ |
Subjects: | F - International Economics > F3 - International Finance > F36 - Financial Aspects of Economic Integration F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance > F45 - Macroeconomic Issues of Monetary Unions G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks ; Depository Institutions ; Micro Finance Institutions ; Mortgages |
Item ID: | 98695 |
Depositing User: | Dr Peter Kehinde Mogaji |
Date Deposited: | 18 Feb 2020 21:20 |
Last Modified: | 18 Feb 2020 21:20 |
References: | Beck, T. and R. Cull (2013). ‘Banking in Africa’. CSAE Working Paper WPS/2013-16. Boyd, J. H. and G. DeNicolo (2005). ‘The Theory of Bank Risk Taking and Competition Revisited’. Journal of Finance, 60 pp.1329-1345. Degryse, H. Elahi, M. A. and M. F. Penas (2013). ‘Determinants of Banking Fragility: A Regional Perspective’. European Central Bank Working Paper 1567 (July). Demirgue-Kunt, A. and E. Detragiache (2005). ‘Cross Country Empirical Studies of Systemic Banking Distress: A Survey’. IMF Working Paper WP/05/96. Derreumaux, P. (2013). ‘The Renewal of African Banking Sector in ‘New Players and New Banking Models for Africa’ Private Sector and Development Proparco’s Magazine, No. 16 May 2013. Heckman, J. J. (1981). ‘The Incidental Parameter Problem and the Problem of Initial Conditions in Estimating a Discrete Time-discrete Data Stochastic Process’. In Structural Analysis of Discrete Data and Econometric Application, ed. C. F. Manski and D. L. McFadden, pp. 114-178. Cambridge, MA: MIT Press. Hill, R. C., Griffiths, W.E. and G. C. Lim (2008). ‘Principles of Econometrics 3rd Edition’. John Wiley and Sons: New Jersey. Honohan, P. and T. Beck (2007). ‘Making Finance Work for Africa’. World Bank. IMF (2013). ‘Nigeria: Financial Sector Stability Assessment’. IMF Country Report 13/140. May, 2013. Kauppi, H. and P. Saikkonen (2005). ‘Predicting US Recession with Dynamic Binary Response Models’. Helsinki Centre of Economic Discussion Paper 79, November 2005. Laeven, L. and F. Valencia (2010). ‘Resolution of Banking Crises: The Good, the Bad and the Ugly’. IMF Working Paper, WP/10/146 Laeven, L. and F. Valencia (2012). ‘Systemic Banking Crises Database: An Update’. IMF Working Paper 12/163. Lefiller, J (2013). ‘Strengthening the Africa Banking sector: How Development Finance Institution Can Help’. The African Business Review. Sept. 2013. Mlachila, M. Park, S.G. and M. Yabara (2013). ‘Banking in Sub-Saharan African: The Macroeconomic Context’. International Monetary Fund, African Department. Raoudha, A. (2014). ‘Market Structure and Bank Fragility: Application to the Tunisia Banking System’. Zagreb International Review of Economic and Business 17 (2) pp. 1-20. Soderban, M. (2004). ‘Estimation of Binary Choice Models with Panel Data’. ERSA Training Workshop Lecture Note 5. Stewart, M. (2006). ‘Maximum Simulated Likelihood Estimation of Random Effect Dynamic Probit Model with Autocorrelated Error’. The Stata Journal, 6 (2) pp. 255-272. Wooldridge, J. M. (2013). ‘Introductory Econometrics: A Modern Approach, 5th Edition’. South Western Cengage Learning, USA: Mason. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/98695 |