We collect information about multinational banks’ internal capital markets from interviews with over 400 bank CEOs across emerging Europe. Using these unique data, we document substantial variation in how banks financially manage foreign subsidiaries and then assess how this variation affected local credit growth during the Great Recession. We show that subsidiaries grew faster if the parent ba...

In order to solve the problem of insufficient capital adequacy, haphazard internal control, the lower international competitiveness and others, the domestic commercial banks have introduced strategic investors. In order to study whether efficiency of introducing the strategic investors is improved, this paper carries out panel data regression analysis, using data of such banks as: the China Con...

Today ,Banks to survive and grow it becomes critical to manage customers, build and maintain a healthy relationship with customers. Data Mining in Banks can play a significant role for customer relationship Management. The areas in which Data mining Tools can be used in the banking industry are customer segmentation, Banking profitability, credit scoring and approval, Predicting payment from Cu...

This paper uses Reuters high-frequency exchange rate data to investigate the contributions to the price discovery process by individual banks in the foreign exchange market. We propose multivariate time series models in calendar time as well as in tick time to study the dynamic relations between the quotes of individual banks. We investigate the hypothesis that German banks are price leaders in...

In This paper a hybrid DEA method consisting of four phases for assigning the financial efficiency of commercial banks in India is used. This paper is based on panel data of banks for the period from 2011 to 2015. The DEA analysis based on hybrid method of DEA AND TOPSIS is used for ranking efficient Decision Making Units(DMUs) in Data Envelopment Analysis (DEA). However, since each of these me...

The purpose of this study is to establish the firms level aspects which have more influence on the Credit risk managing of domestic and foreign banks in Pakistan. The study is based on secondary data from the period of 2001 to 2010. To check the stationarity of the data, Augmented Dickey Fuller test is used and Johansson’s Co-integration is used for long run relationship. Linear regression mode...

This paper examines the relationship between financial risks and profitability of the conventional and Islamic banks in Malaysia for the period between 1996 and 2005. The measures of profitability that have been used in the study are the return on equity (ROE) and return on assets (ROA) while the financial risks are credit risk, interest rate risk and liquidity risks. This study employs panel d...

This paper presents a new approach for quantifying bank’s management quality, using a data envelopment analysis (DEA) model that combines multiple inputs and outputs to compute a scalar measure of efficiency. This measure will seek to capture a fundamental and crucial element of a bank’s success, which is its management efficiency. The results show that, on average, differences in management qu...

Using loan-level data from Mexico, we study the relationship between the organizational structure of banks and the terms of lending to small businesses. We find that banks with decentralized lending structures – where branch managers have autonomy over the terms of lending – give larger loans to small firms and those with more "soft information". However, decentralized banks are also more respo...

Islamic banks face restrictions in refinancing due to the guidelines of the Shari ́ah prohibiting financial contracts and transactions based on interest, gambling and speculation as same as due to the lack of liquidity sources such as an interbank market, a lender of last resort or an asset market. This is the first study with empirical cross-country results focusing on liquidity transformation ...