Credit Engineering for Bankers: A Practical Guide for Bank Lending / Edition 2

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Overview

More efficient credit portfolio engineering can increase the decision-making power of bankers and boost the market value of their banks. By implementing robust risk management procedures, bankers can develop comprehensive views of obligors by integrating fundamental and market data into a portfolio framework that treats all instruments similarly. Banks that can implement strategies for uncovering credit risk investments with the highest return per unit of risk can confidently build their businesses.

Through chapters on fundamental analysis and credit administration, authors Morton Glantz and Jonathan Mun teach readers how to improve their credit skills and develop logical decision-making processes. As readers acquire new abilities to calculate risks and evaluate portfolios, they learn how credit risk strategies and policies can affect and be affected by credit ratings and global exposure tracking systems. The result is a book that facilitates the discipline of market-oriented portfolio management in the face of unending changes in the financial industry.

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Product Details

  • ISBN-13: 9780123785855
  • Publisher: Elsevier Science
  • Publication date: 11/15/2010
  • Edition number: 2
  • Pages: 556
  • Product dimensions: 6.10 (w) x 9.10 (h) x 1.20 (d)

Meet the Author

Professor Morton Glantz serves as a financial consultant, educator, and adviser to a broad spectrum of professionals, including corporate financial executives, government ministers, privatization managers, investment and commercial bankers, public accounting firms, members of merger and acquisition teams, strategic planning executives, management consultants, attorneys, and representatives of foreign governments and international banks. Professor Morton Glantz is a principal of Real Consulting and Real Options Valuation, firms specializing in risk consulting, training, certification, and advanced analytical software in the areas of risk quantification, analysis, and management solutions.

As a JP Morgan Chase (heritage bank) senior banker, Professor Glantz built a progressive career path specializing in credit analysis and credit risk management, risk grading systems, valuation models, and professional training. He was instrumental in the reorganization and development of the credit analysis module of the Bank’s Management Training Program-Finance, which at the time was recognized as one of the foremost training programs in the banking industry.

Professor Glantz is on the (adjunct) finance faculty of the Fordham Graduate School of Business. He has appeared in the Harvard University International Directory of Business and Management Scholars and Research, and has earned Fordham University Deans Award for Faculty Excellence on three occasions. He is a Board Member of the International Standards Board, International Institute of Professional Education and Research (IIPER). The IIPER is a global institute with partners and offices around the world, including the United States, Switzerland, Hong Kong, Mexico, Portugal, Singapore, Nigeria, and Malaysia. Professor Glantz is widely published in financial journals and has authored 8 books.

Dr. Johnathan C. Mun is the founder and CEO of Real Options Valuation, Inc., a consulting, training, and software development firm specializing in strategic real options, financial valuation, Monte Carlo simulation, stochastic forecasting, optimization, and risk analysis located in northern California. He is also the Chairman of the International Institute of Professional Education and Research (IIPER), an accredited global organization providing the Certified in Risk Management (CRM) designation among others, staffed by professors from named universities from around the world. He is also the creator of the Real Options Super Lattice Solver software, Risk Simulator software, and Employee Stock Options Valuation software at the firm, as well as the risk analysis Training DVD and he holds public seminars on risk analysis and Certified in Risk Management (CRM) programs. He has authored eight books including Modeling Risk: Applying Monte Carlo Simulation, Real Options, Optimization, and Forecasting, (Wiley 2006), Real Options Analysis: Tools and Techniques, First and Second Editions (Wiley 2003 and 2005), Real Options Analysis Course: Business Cases (Wiley 2003), Applied Risk Analysis: Moving Beyond Uncertainty (Wiley 2003), Valuing Employee Stock Options (Wiley 2004), and others. His books and software are being used at top universities around the world (including the Bern Institute in Germany, Chung-Ang University in South Korea, Georgetown University, ITESM in Mexico, Massachusetts Institute of Technology, Naval Postgraduate School, New York University, Stockholm University in Sweden, University of the Andes in Chile, University of Chile, University of Pennsylvania Wharton School, University of York in the United Kingdom, and Edinburgh University in Scotland, among others).

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Table of Contents

Foreword xi

Introduction xvii

About The Authors xxiii

Part 1 New Approaches to Fundamental Analysis 1

1 Introduction to Loan Decision Making: The Prism Model 3

2 International Financial Reporting Standards 17

3 Multivariate Ratio Analysis 37

4 Credit Analysis of Seasonal Businesses: An Integrated Approach 61

5 Asset-based Lending 79

6 Cash Flow Analysis 99

7 A Primer on Quantitative Risk Analysis 129

8 Projections and Risk Assessment 185

9 Sustainable Growth and Credit Risk Management 237

10 Specialized Lending Risk Rating 253

11 Recognition, Diagnosis, and Response to Troubled Loans 269

12 Strategic Real Options Analysis: Managing Risk Through Flexibility 295

Part 2 Credit Administration 309

13 Capital Adequacy 311

14 Quantitative Credit and Market Risk Analysis 333

15 Portfolio Optimization and Management of Default Risk 377

16 Options Valuation 409

17 Exotic Options, Options Engineering, and Credit Risk 431

18 Credit and Debt Valuation 453

19 Building Integrated Exposure Systems 469

20 Building Risk-Adjusted Pricing Models 489

Index 507

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