Bone banks are necessary for providing biological material for a series of orthopedic procedures. The growing need for musculoskeletal tissues for transplantation has been due to the development of new surgical techniques, and this has led to a situation in which a variety of hospital services have been willing to have their own source of tissue for transplantation. To increase the safety of tr...

Whether or not banks are engaged in ex ante monitoring of customers may have important consequences for the whole economy. We approach this question via a model in which banks can invest in either information acquisition or market power (product differentiation). The two alternatives generate different predictions, which are tested using panel data on Finnish local banks. We find evidence that ...

We study whether foreign and domestic banks in Central and Eastern Europe have reacted differently to business cycle conditions and host country banking crises. Our unique panel dataset comprises data of more than 300 banks for the period 1993-2000, with detailed information on bank ownership. Our analysis shows that during crisis periods domestic banks contracted their credit and deposit bases...

Banks are growing ever larger compared to their national economies. We show that increases in relative bank size (measured as a bank’s liabilities divided by national GDP) are linked to banks displaying higher tail risk. This effect is not entirely due to risk channels that disproportionately expose relatively large banks to systematic tail risks, sovereign risks, or banking crises. Instead, we...

Cooperative banks play an important role in the European banking system. This paper presents an evaluation of the efficiency and performance of a European cooperative banks. For this purpose an integrated approach is employed using both data envelopment analysis as well as a multicriteria evaluation methodology. Through data envelopment analysis the efficiency of the banks is evaluated under bo...

This study uses a sample of 30 banks (4 public, 18 local private and 8 foreign banks) and two stage Data Envelopment Analysis (DEA) to provide evidence on the impact of macroeconomic and bank specific factors on banks’ efficiency. We first use DEA to estimate technical and scale efficiency and then Tobit regression approach to find out the impact of several bank-specific and macroeconomic facto...

We study the interaction between interbank competition and accounting information quality and their effects on banks’ risk-taking behavior. We identify an endogenous false-alarm cost that banks incur when forced to sell assets to meet capital requirements. We find that when the interbank competition is less intense, an improvement in the quality of accounting information encourages banks to tak...

This study develops a multidimensional framework using data envelopment analysis as a benchmarking tool to assess the performance of the commercial banks in India. Using data envelopment analysis approach, this study compares the relative performance of 35 banks against one another with eight variables as the benchmark parameters. This study finds that most of the banks are consistently perform...

We develop a model of capital and liability structure of banks that optimally respond to changes of regulatory environment. The model produces the following results. In the absence of regulation, banks in our model take high leverage, both in the form of deposits and subordinated debt. We find that subordinated debt is important in banks’ liability structure—holding zero subordinated debt is ne...

Credit spreads on household and business loans move in lockstep spike every recession. We propose a theory as to why banks tighten their lending standards following drop market sentiment. The key feature is procyclical shadow banking sector that shifts risk from traditional investors through securitisation. fit the model euro‑area data find sentiment shocks are main driver of financial cycles o...