Results 1 to 10 of about 21,028 (156)

Bootstrap-DEA management efficiency and early prediction of bank failure: Evidence from 2008-2009 U.S. bank failures

open access: yesCentral Bank Review, 2022
This paper examines prediction of U.S. bank failure with a probit model that uses bias-corrected technical efficiency estimated using bootstrap data envelopment analysis as the measure of management quality.
Abdus Samad, Vaughn S. Armstrong
doaj   +3 more sources

Time series prediction of reservoir bank landslide failure probability considering the spatial variability of soil properties

open access: yesJournal of Rock Mechanics and Geotechnical Engineering
Historically, landslides have been the primary type of geological disaster worldwide. Generally, the stability of reservoir banks is primarily affected by rainfall and reservoir water level fluctuations. Moreover, the stability of reservoir banks changes
Luqi Wang   +5 more
doaj   +3 more sources

Survival of Russian banks: how efficient are the control measures? [PDF]

open access: yesEuropean Journal of Management and Business Economics, 2023
Purpose – In this paper, the authors study the failure of Russian banks between 2012 and 2019. Design/methodology/approach – The authors analyze the entire population of Russian banks and combine a logit model with the survival analysis.
Angel Barajas   +2 more
doaj   +1 more source

What Best Predicts Corporate Bank Loan Defaults? An Analysis of Three Different Variable Domains

open access: yesRisks, 2021
This paper aims to compare the accuracy of financial ratios, tax arrears and annual report submission delays for the prediction of bank loan defaults. To achieve this, 12 variables from these three domains are used, while the study applies a longitudinal
Keijo Kohv, Oliver Lukason
doaj   +1 more source

Comparative Mathematical Model for Predicting of Financial Loans Default using Altman Z-Score and Neutrosophic AHP Methods [PDF]

open access: yesNeutrosophic Sets and Systems, 2021
The current system in the bank depends only on the client's failure to pay monthly installments for three consecutive months to start moving and take the necessary actions towards the client.
Noha Al-Qorany Ibrahem   +3 more
doaj   +1 more source

Predicting Failure in the Commercial Banking Industry [PDF]

open access: yesSSRN Electronic Journal, 2011
The ability to predict bank failure has become much more important since the mortgage foreclosure crisis began in 2007. The model proposed in this study uses proxies for the regulatory standards embodied in the so-called CAMELS rating system, as well as several local or national economic variables to produce a model that is robust enough to forecast ...
John A. Tatom, Reza Houston
openaire   +3 more sources

Stability analysis of riverbanks with a dual structure under water–root–soil coupling

open access: yesWater Science and Technology, 2023
The collapse mechanism of dual-structure vegetation riverbanks at different water levels is unclear. A method for calculating the critical collapse width of a dual-structure vegetation bank under different failure modes that consider the variations in ...
Youzhi Hao   +8 more
doaj   +1 more source

Predicting Small Bank Failure [PDF]

open access: yesThe Journal of Entrepreneurial Finance, 1991
There are many studies of bank performance and bank failure in the literature. Most of these studies used banking ratios as variables in their models without giving consideration to their appropriateness, nor was much consideration given to the stability of those ratios through time and across asset size. Many studies also failed to recognize that bank
Heyliger, Wilton E., Holdren, Don P.
openaire   +3 more sources

Relevance of size in predicting bank failures [PDF]

open access: yesInternational Journal of Finance & Economics, 2020
AbstractEmploying a statistical model‐building strategy, this study aims to analyse the United States' bank failures across different size categories (small, medium, and large). Our results suggest that factors associated with bank failures vary across respective size categories, and the average marginal effects (AMEs) of mutually significant ...
Alzugaiby, Basim   +3 more
openaire   +3 more sources

Russian bank data: Reasons of bank closure

open access: yesData in Brief, 2020
For every closed Russian bank I collect its closure reasons. I divide these reasons into categories and report them in the form of tags. The data come from online sources. Combined with Russian banks' financial statements, freely available on the Central
Alexei Karas
doaj   +1 more source

Home - About - Disclaimer - Privacy