We develop a model of neural networks to study the bankruptcy of U.S. banks. We provide a new model to predict bank defaults some time before the bankruptcy occurs, taking into account the specific features of the current financial crisis. Based on data from the Federal Deposit Insurance...

Quite a few in-depth articles were found in the above-mentioned domain. Bankruptcy is one of the most critical factors which most of companies don't want to face. To predict the Bankruptcy of Banks, there have been several attempts made, some have been successful and some are coming up with new...

Liquidity stress constitutes an ongoing threat to financial stability in the banking sector. A bank that manages its liquidity inadequately might find itself unable to meet its payment obligations. These liquidity issues, in turn, can negatively impact the liquidity position of many other banks...

The purpose of the missions of Phase I was to develop a functional central bank, including establishing a modern banking supervisory regime. Especially, MCM provided TA missions under the Phase I that have focused on operationalizing banking license capacity, development of on and offsite...

Productivity and efficiency analyses have been indispensable tools for evaluating firms’ performance in the banking sector. In this context, the use of Artificial Neural Networks (ANNs) has been recently proposed in order to obtain a globally flexible functional form which is capable of...

Banks are believed to be opaque to outsiders, since opacity is a property of the assets that they hold. A social planner would like banks to be transparent, riskless and highly efficient intermediators of liquidity. However, these goals appear to be conflicting. Whether and how opacity and...

We find evidence that material insider abuse and internal fraud were present in approximately 457 (37 percent) of the 1,237 U.S. failed commercial and mutual savings banks (hereafter, banks) between 1989 and 2015. Using a unique dataset of the incidence of insider abuse and internal fraud among...

Indian Banking, especially the PSU segment has been facing the fire for quite some time now. Be it NPA, or be it digitization or even be it cash management, they are finding it hard to cope up with the changes. ‘Earnings per Share' (EPS) is a cardinal parameter which will impact the...

Data Mining represents a Business Intelligence (BI) methodology which provides an insight into the 'hidden' information about its operations thus improving the process of making strategic business decisions based on a clear and understandable interpretation of existing results. Data mining can...