نتایج جستجو برای: credit risk bank

تعداد نتایج: 1021325  

Journal: :Interfaces 2005
Tom Duffy Manos Hatzakis Wenyue Hsu Russ Labe Bonnie Liao Xiangdong Luo Je Oh Adeesh Setya Lihua Yang

Merrill Lynch Bank USA has a multibillion dollar portfolio of revolving credit-line commitments with over 100 institutions. These credit lines give corporations access to a specified amount of cash for short-term funding needs. A key risk associated with credit lines is liquidity risk, or the risk that the bank will need to provide significant assets to the borrowers on short notice. We develop...

Journal: :Management Science 2006
Alex Stomper

I analyze banks’ incentives to acquire expertise in judging the credit-worthiness of borrowers in an industry with uncertain business conditions. The optimal industrial organization of bank lending features several banks with industry expertise, as well as a competitive fringe of banks without such expertise. The analysis provides a foundation for analyzing the relative merits of focus vs. dive...

Journal: :تحقیقات اقتصادی 0
جعفر عبادی دانشیار دانشکده‎ی اقتصاد، دانشگاه تهران اکبر کمیجانی استاد دانشکده‎ی اقتصاد، دانشگاه تهران زهرا خوشنود استادیار پژوهشکده‎ی پولی و بانکی

following changes in economic fields, monetary transmission mechanism has been equipped with different approaches. for example, introducing and then applying the first draft of basel committee’s capital requirement has portrayed new horizon in the monetary transmission mechanism discussions. while as the first step, it has been emphasized on the static role of bank’s capital; as the second step...

2005
Ian W Marsh Ian W. Marsh

Although innovative credit risk transfer techniques help to allocate risk more optimally, policymakers worry that they may detrimentally affect the effort spent by financial intermediaries in screening and monitoring credit exposures. This paper examines the equity market’s response to loan announcements. In common with the literature it reports a significantly positive average excess return – ...

Journal: :Journal of risk and financial management 2021

Data science and machine-learning techniques help banks to optimize enterprise operations, enhance risk analyses gain competitive advantage. There is a vast amount of research in credit risk, but our knowledge, none them uses registry as data source model the probability default for individual clients. The goal this paper evaluate different models create accurate assessment using from real data...

2009
Hendrik Hakenes Isabel Schnabel

We present a banking model with imperfect competition in which borrowers’ access to credit is improved when banks are able to transfer credit risks. However, the market for credit risk transfer (CRT) works smoothly only if the quality of loans is public information. If the quality of loans is private information, banks have an incentive to grant unprofitable loans in order to transfer them to o...

2007
Christine A. Parlour Andrew Winton

We study the difference between loan sales and credit default swaps. A bank lends money to an entrepreneur to undertake a positive NPV project. After the loan has been made, the bank finds out if the project benefits from monitoring and if it should sell the loan to release regulatory capital. A bank can lay off credit risk by either selling the loan or by buying credit insurance through a cred...

2002
Linda Allen Anthony Saunders

Procyclicality has emerged as a potential drawback to adoption of risk-sensitive bank capital requirements. Systematic risk factors may result in increases (decreases) in bank capital requirements when the economy is depressed (overheated), thereby decreasing (increasing) bank lending capacity and exacerbating business cycle fluctuations. Procyclicality may result from systematic risk emanating...

Journal: Money and Economy 2021

Corporate governance of banks is one of the most important structures required by banks to maintain the health and stability of banks, which can play an important role in managing banks' risk. This paper examines the effect of corporate governance on liquidity risk management, credit risk management, and total bank risk management. We used board structure effectiveness, transparency, and respon...

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