Credit derivatives, some of the most significant developments is the financial industry, have experienced significant growth recently. The objective of this study is to examine whether the use of credit derivatives, either buying or selling, has an effect on banks loan pricing behaviour. Minton et al. (2009) propose that the net buyers of credit protection save capital and thus should be able to make loans at rates that are below the rates offered by competitors who do not utilize credit derivatives. In addition, Hirtle (2009) investigates the relationship between credit derivatives and their effects on bank lending activities. She does not find a strong association between the use of credit derivative and the supply of loans and proposes that banks are using credit derivatives mainly to provide longer maturity and lower spread loans rather than to increase the volume of loans. In contrast to previous studies, our study investigates the relation between loan prices, measured by the interest and fee income per dollar of loans, and the use of credit derivatives at BHCs. We propose that if BHCs use credit derivatives to hedge credit exposures, they would charge a lower loan rate to the borrowers since CDs enable banks to transfer the credit risk away from the lenders. However, if credit derivatives are used for purposes other than managing credit exposure, these instruments might not have any impact on loan pricing. Another goal of our study is to investigate the relationship between loan prices and the use of credit derivatives for trading purpose. We expect that during the years when BHCs are net sellers of credit derivatives, they take these positions because they have good quality loans and they are willing to take additional risk. In this case, they would report lower income per dollar of loans. However, if banks sell CDs as part of their speculative strategy, their use of credit derivatives might not have any impact on loan prices. Thus, banks would charge a rate that is similar to other banks with the same level of risk. Another goal of our study is to find, for both users and non-users of credit derivatives, how the interest and fee income generated by the BHCs is affected by the risk of default of their clients. We expect that as the risk of default increases, the prices on loans would increase as well. Banks take additional risk in exchange for higher return. Our final goal of this study is to investigate whether the use of CDs affects the supply of funds or loan rates differently for different types of loans banks hold in their portfolios. Our findings suggest that the loan prices of users of CDs are significantly less than the loan prices of nonusers. This finding may suggest that users are more efficient, competitive and diversified than nonusers and thus can afford to charge a lower rate to their clients. The result may also suggest that BHCs that are using CDs generally have lower risk loan portfolios and these portfolios are generating lower income per dollar of assets. Among the users group, we observe that as the volume of CDs purchased increases the prices of loans also increase. This suggests additional usage of CDs allows users to accept risky loans that they would not accept in the absence of CDs. They are initiating these high-risk loans to generate higher interest and fee income and at the same time they are using more CDs to hedge these risky loans. Our study also finds a significant and positive relationship between the risk of default and BHCs loan prices. Our study further investigates the users of credit derivatives during the years when these banks use CDs and the years when they do not use CDs. We find that the loan prices are marginally lower for the years when CDs are used. In particular, we find a significant decrease in prices during the years when these banks are sellers of CDs. However, we do not find any significant impact on loan prices during the years when they buy CDs. This result suggests that CD-active BHCs that buy CD protection are doing so to reduce some excessive risk they have taken without demanding a high rate to compensate for this risk. Finally, we find that the years when BHCs report both CDs bought and CDs sold, they charge a loan price that is similar to the years when these banks do not report any position in the CDs market. Perhaps the BHCs that report simultaneously CDs bought and CDs sold are selling CDs to generate income and hedging their positions through buying offsetting positions. Our analysis also suggests that the impact of the use of derivatives varies depending on whether the loans are real estate, consumer, commercial and industrial, agricultural, or foreign loans.

After the fifteen years over banking, the financial tsunami reveals that Taiwan banking industry has been in a predicament. In the recent ten years, due to being impacted by the risks of the enterprise finance, the retailer finance, the overseas investment, and even the whole economic system, the banks in Taiwan not only have lost seriously, but also been managed more hardly. How to find out a profit model based on the security, the benefit, and the public welfare principles is the critical issue. The traditional loan to small and medium-sized enterprises that brings the reasonable interest gains and the overall financial intercourse spin-off benefits has become the focal point once again. In order to create the real profit, it is important to control credit risks and the cost of operation. At this time, the government implements the new Basel¢º supervisory standard with the purpose of encouraging the banks to adopt the IRB to estimate the loan credit risks. It has to meet various the lowest operational requirements and statistical analysis patterns as well as should be practiced in the banking loan business definitely. Consequently, to build an internal loan credit scoring system with the scientific method is a key point. The research aims to produce the credit scoring model using a series of logical processes, which derived from the 2,517 small business loan samples from May, 2005 to May, 2006 of one Taiwan commercial bank. It adopted WOE model to evaluate a variety of variables, and sift out the 11 representative and the statistical items. Then, following IRB standard, Logistics Regression and related statistic analysis techniques established the credit estimating method and the linked addition scoring card. Finally, the investigation employed the violation rate distribution, Lorenz¡¦s Curve, K-S Test and Log Odds to make sure the rationality and reliability. Based on this model, there are eight essential variables that affects the verification of the loan to small businesses, including customer present loan situation, the urgent of increasing the loan, repayments custom, and so on, which conform to the banking practical know-how. Therefore, the model could assist the banking employees to calculate the loan credit grades efficiently and further make the accurate judgment.

Thesis (Ph. D.)--Ohio State University, 1978. / Includes vita. Includes bibliographical references (leaves 221-227). Available online via OhioLINK's ETD Center.

Thesis (Ph. D.)--University of Hong Kong, 2001. / Includes bibliographical references (leaves 394-433).

No description available.

Thesis (doctoral)--Universität Köln.

Thesis PlanB (M.S.)--University of Wisconsin--Stout, 2007. / Includes bibliographical references.

My Diploma Thesis is focused on the various means of financing of own housing in the Slovak and Czech Republic. The definition of the legislation and methods are characterized including those necessary for the accommodation funding via building savings, mortgage, state development and housing funds and lastly, the newlywed funds. Followed-up it is necessary to define the environment, which the estates are located at, technical condition of building for the newly-wedded couple. For the paper is vital the similarity of properties for truly comparison. In conclusion the major results of the most favorable housing products when purchasing an property are aligned for both countries.

We examine the hypothesis that firm size affects the sensitivity of bank term loan maturity to its underlying determinants. As borrower size increases, negotiating power with the lender and information transparency increase, while the lender is able to spread the fixed costs of loan production across a larger dollar value of the loan. We find strong evidence of firm size dependency in the determinants of bank term loan maturity and show that this is unrelated to syndication. Only large borrowers can manipulate bank loan contract terms so as to increase firm value.

A sound banking system is essential to a well-functioning economy. With the financial crisis beginning in 2007, a renewed interest in the safety of financial institutions has dominated both the political and financial landscape. Mounting loan losses in real estate lending led to the failing of over 460 banks from 2008 to 2012. This crisis is not unique; in fact, the Savings & Loan Crisis of the 1980's to early 1990's led to the closure of 700 savings institutions. Both instances created a panic in financial markets and heavy losses to deposit insurance funds. These losses are ultimately borne by taxpayers and prudently managed banks, especially if the insurance fund requires re-capitalization. The focus of this paper is on explaining the contributing factors to different categories of loan losses. Namely, total loan losses, residential real estate loan losses, commercial real estate loan losses, and commercial and industrial loan losses are examined. A multivariate regression approach is taken in this paper to explain the four rates of loan losses for the period of 2001 to 2012. Aggregate macroeconomic data from 2001 to 2012 is used to explain loan losses across categories. It was found that the delinquency rate of loans, the consumer financial obligations ratio, and the financial crisis were all significant factors in explaining loan losses.