scholarly journals PERBANDINGAN EARLY WARNING SYSTEMS (EWS) UNTUK MEMPREDIKSI KEBANGKRUTAN BANK UMUM DI INDONESIA

2005 ◽  
Vol 7 (3) ◽  
Author(s):  
Liza Angelina, SE, Msi, Akt
Keyword(s):  
Discriminant Analysis ◽  
Commercial Bank ◽  
Early Warning ◽  
Early Warning Systems ◽  
Warning Systems ◽  
Multiple Discriminant Analysis ◽  
Analysis Model ◽  
Recognition Model ◽  
System Models ◽  
Forewarning System

This research is testing the capability of several forewarning system models to predict bank bankruptcy. We apply these models on Indonesian commercial bank data during the period of 1994/ 1995 - 1999/2000. Considering the data incompleteness and or their inexistence, our data finally contains of 74 failed-banks and 81 non failed-banks.Our result shows the Trait Recognition model (TR) is more pre-eminent than Logit and Multiple Discriminant Analysis model (MDA).Keywords : Trait Recognition (TR), Logit, Multiple Discriminant Analysis (MDA), Bank BankruptcyJEL: C25, C35, G21, G33

scholarly journals Loan asset indicators and commercial bank fragility in Kenya

2021 ◽  
Vol 29 (1) ◽  
pp. 25-36
Author(s):  
Albert Camus Onyango Bwire
Keyword(s):  
Commercial Bank ◽  
Early Warning ◽  
Statistical Significance ◽  
Early Warning Systems ◽  
Future Research ◽  
Research Approach ◽  
Exploratory Research ◽  
Warning Systems ◽  
Loan Portfolio ◽  
Lagged Dependent Variable

Purpose. To test the predictive ability of loan asset indicators on Commercial bank fragility in Kenya.  Design/Method/Research approach. The study adopted positivism research philosophy with exploratory research design. The study population was 42 Commercial banks in operation on 31st December 2015. Secondary data was collected from Central Bank of Kenya and analysed using Stata Statistics/Data analysis. Generalised Linear Model was used to establish the relationship between asset indicators and bank fragility. The concept of credit creation was explored as the genesis of bank fragility. This study is part of early warning systems in detecting bank fragility. Findings. The research found a direct relationship between a lagged dependent variable, loan portfolio growth, loan deposit ratio and bank fragility. Practical implications. Recommendations are followed on the basis of this study. At first, regulator develop a potential solution to control loan portfolio growth, cap loan deposit ratio and limit the level of non-performing loans. Banking practitioners should model monthly reporting requirements to ensure that banks are able to disclose the ratio and explain any significant changes. Secondly, since Non-performing loans can act as an incentive for bank managers to seek deposits and lend more thereby exacerbating the problem, banks with NPL to gross loans greater than an upper threshold determined by the regulator should not be allowed to attract more deposits. Thirdly, set the maximum level of loan deposit ratio to avoid expensive, sensitive and high-risk loan capital. Implementation of these recommendations will lead to secured social welfare. Originality/Value. The study examines the role of certain loan asset indicators on bank fragility and extends the discussion in the area of early warning systems and commercial bank instability in Kenya. Research limitations/Future Research. This research contributes to the discussion on bank fragility and early warning systems. The further research should review evidence from other jurisdiction with high numbers of distressed institutions to determine how many months or years before distress the three significant variables could predict fragility. Besides, there is need for research on insider loans as defined and why there was no statistical significance. Paper type. Empirical.

scholarly journals Crisis en las entidades de crédito españolas: Un estudio mediante análisis discriminante

2020 ◽  
Vol 32 (2) ◽  
pp. 617
Author(s):  
David Redondo Ballesteros ◽  
José Miguel Rodríguez Fernández
Keyword(s):  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Early Warning ◽  
Banking Sector ◽  
Early Warning Systems ◽  
Fiscal Year ◽  
Validation Sample ◽  
Warning Systems ◽  
Linear Discriminant ◽  
Depository Institutions

The aim of this paper is to present an estimated model for banking classification applying multivariate linear discriminant analysis, preceded by a brief review of recent Spanish crisis. An estimation sample and a validation sample are used, each of them with Spanish depository institutions solvent and another financial distressed. The data refers to the years 2008 and 2009, a prior fiscal year to the respective situations of failure. The empirical results achieved are statistically significant. They confirm some of the conclusions from previous studies and seem to be useful to design early-warning systems in the banking sector.

The CARE Telematics Network for the Surveillance of Influenza in Europe

1995 ◽  
Vol 34 (05) ◽  
pp. 518-522 ◽  
Author(s):  
M. Bensadon ◽  
A. Strauss ◽  
R. Snacken
Keyword(s):  
Public Health ◽  
Early Warning ◽  
Early Warning Systems ◽  
Warning Systems ◽  
Surveillance Networks ◽  
Spanish Flu ◽  
The 1950S ◽  
National Networks ◽  
First Time

Abstract:Since the 1950s, national networks for the surveillance of influenza have been progressively implemented in several countries. New epidemiological arguments have triggered changes in order to increase the sensitivity of existent early warning systems and to strengthen the communications between European networks. The WHO project CARE Telematics, which collects clinical and virological data of nine national networks and sends useful information to public health administrations, is presented. From the results of the 1993-94 season, the benefits of the system are discussed. Though other telematics networks in this field already exist, it is the first time that virological data, absolutely essential for characterizing the type of an outbreak, are timely available by other countries. This argument will be decisive in case of occurrence of a new strain of virus (shift), such as the Spanish flu in 1918. Priorities are now to include other existing European surveillance networks.

Assessment of Food Security Early Warning Systems for East and Southern Africa

10.1596/29269 ◽  
2018 ◽  
Author(s):  
Ademola Braimoh ◽  
Bernard Manyena ◽  
Grace Obuya ◽  
Francis Muraya
Keyword(s):  
Food Security ◽  
Southern Africa ◽  
Early Warning ◽  
Early Warning Systems ◽  
Warning Systems

A Residual Chlorine Removal Method to Allow Drinking Water Monitoring by Biological Early Warning Systems

2005 ◽  
Author(s):  
Willian H. VAN DER Schalie ◽  
David E. Trader ◽  
Mark W. Widder ◽  
Tommy R. Shedd ◽  
Linda M. Brennan
Keyword(s):  
Drinking Water ◽  
Early Warning ◽  
Early Warning Systems ◽  
Water Monitoring ◽  
Residual Chlorine ◽  
Warning Systems ◽  
Removal Method ◽  
Chlorine Removal
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