Giacomo De Laurentis – författare

This book provides a thorough analysis of internal rating systems. Two case studies are devoted to building and validating statistical-based models for borrowers’ ratings, using SPSS-PASW and SAS statistical packages. Mainstream approaches to building and validating models for assigning counterpart ratings to small and medium enterprises are discussed, together with their implications on lending strategy. Key Features: Presents an accessible framework for bank managers, students and quantitative analysts, combining strategic issues, management needs, regulatory requirements and statistical bases.Discusses available methodologies to build, validate and use internal rate models.Demonstrates how to use statistical packages for building statistical-based credit rating systems.Evaluates sources of model risks and strategic risks when using statistical-based rating systems in lending.This book will prove to be of great value to bank managers, credit and loan officers, quantitative analysts and advanced students on credit risk management courses.

This book provides a thorough analysis of internal rating systems. Two case studies are devoted to building and validating statistical-based models for borrowers’ ratings, using SPSS-PASW and SAS statistical packages. Mainstream approaches to building and validating models for assigning counterpart ratings to small and medium enterprises are discussed, together with their implications on lending strategy.

Key Features:

Presents an accessible framework for bank managers, students and quantitative analysts, combining strategic issues, management needs, regulatory requirements and statistical bases. Discusses available methodologies to build, validate and use internal rate models. Demonstrates how to use statistical packages for building statistical-based credit rating systems. Evaluates sources of model risks and strategic risks when using statistical-based rating systems in lending.

This book will prove to be of great value to bank managers, credit and loan officers, quantitative analysts and advanced students on credit risk management courses.

This book provides a thorough analysis of internal rating systems. Two case studies are devoted to building and validating statistical-based models for borrowers’ ratings, using SPSS-PASW and SAS statistical packages. Mainstream approaches to building and validating models for assigning counterpart ratings to small and medium enterprises are discussed, together with their implications on lending strategy.

Key Features:

Presents an accessible framework for bank managers, students and quantitative analysts, combining strategic issues, management needs, regulatory requirements and statistical bases. Discusses available methodologies to build, validate and use internal rate models. Demonstrates how to use statistical packages for building statistical-based credit rating systems. Evaluates sources of model risks and strategic risks when using statistical-based rating systems in lending.

This book will prove to be of great value to bank managers, credit and loan officers, quantitative analysts and advanced students on credit risk management courses.

The wide range and the frequently renewed formulation of strategies and organization models of corporate banking highlight (a) the absence of both an established theoretical framework and a dominant model, (b) the huge risk of misalignment of strategy, market policies, macro/micro and hard/soft organizational profiles, (c) the pressure imposed on banks personnel who have to reshape skills and competencies as well as to accept new career patterns. By bridging bank management theoretical grounds and the empirical survey of strategic choices, organization models and operating mechanisms in 12 European banks, the book will be of benefit for different groups of readers: bank managers and consultants, bank professionals, academic researchers and students.

Reinhard H. Schmidt The impressive development of the finance literature with its emphasis on asset pricing and the formal modeling of incentive systems during the past three decades, has largely relegated the business and operational aspects of banking as an industry from the agenda of academic research. Though this is understandable, it is especially regrettable in view of the dynamic dev- opments in the banking industry which have started about a decade ago and are currently in full swing. Fortunately, there are now signs of a change to the effect that banking is back on the research agenda. The p- sent book by Professor De Laurentis and his co-authors is a highly inno- tive and interesting manifestation of this reorientation. Banking is an important part of any financial system, and it is especially important in the financial systems of the countries of Continental Europe, such as Italy, France, and Germany, which have been bank-based for d- ades and which are, in my view, likely to remain bank-based for the fo- seeable future. There are many reasons, based on empirical and theoretical considerations, to believe that strong banks are not only important for the banking industry itself, but also for the respective national economies.