Managing Bank Loans By Using Neural Networks

rodbar dam slope stability analysis using neural networks

در این تحقیق شبکه عصبی مصنوعی برای پیش بینی مقادیر ضریب اطمینان و فاکتور ایمنی بحرانی سدهای خاکی ناهمگن ضمن در نظر گرفتن تاثیر نیروی اینرسی زلزله ارائه شده است. ورودی های مدل شامل ارتفاع سد و زاویه شیب بالا دست، ضریب زلزله، ارتفاع آب، پارامترهای مقاومتی هسته و پوسته و خروجی های آن شامل ضریب اطمینان می شود. مهمترین پارامتر مورد نظر در تحلیل پایداری شیب، بدست آوردن فاکتور ایمنی است. در این تحقیق ...

Concentration in corporate bank loans

The aim of this paper is to empirically investigate the determinants of creditor concentration in the use of bank loans by firms in a European cross-country framework. We analyze the influence of loan and borrower characteristics but also banking market structure and legal enforcement variables that are expected to influence the financial and strategic decisions relative to bank lending concent...

Estimating bank loans loss given default by generalized additive models

Assessing bank competition for consumer loans

We assess the competitiveness of the $400 billion dollar U.S. bank consumer loan market by comparing results from different competition measures–HHI, Lerner Index, H-Statistic along with three others, two of which are related to frontier analysis. These measures are typically weakly related to one another and only half of them identify banks with the highest loan price and spread as also being ...

Forecasting bank loans loss-given-default

With the advent of the new Basel Capital Accord, banking organizations are invited to estimate credit risk capital requirements using an internal ratings based approach. In order to be compliant with this approach, institutions must estimate the expected loss-given-default, the fraction of the credit exposure that is lost if the borrower defaults. This study evaluates the ability of a parametri...