Book description
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 Johnathan 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.
- Concentrates on the practical implementation of credit engineering strategies and tools
- Demonstrates how bankers can use portfolio analytics to increase their insights about different groups of obligors
- Investigates ways to improve a portfolio’s return on risk while minimizing probability of insolvency
Table of contents
- Cover
- Title Page
- Copyright
- Companion Site Information
- Dedication
- Table of Contents
- Foreword
- Introduction
- About The Authors
- Chapter 1: Introduction to Loan Decision Making: The PRISM Model
- Chapter 2: International Financial Reporting Standards
- Chapter 3: Multivariate Ratio Analysis
- Chapter 4: Credit Analysis of Seasonal Businesses: An Integrated Approach
- Chapter 5: Asset-Based Lending
- Chapter 6: Cash Flow Analysis
- Chapter 7: A Primer on Quantitative Risk Analysis
- Chapter 8: Projections and Risk Assessment
- Chapter 9: Sustainable Growth and Credit Risk Management
- Chapter 10: Specialized Lending Risk Rating
- Chapter 11: Recognition, Diagnosis, and Response to Troubled Loans
- Chapter 12: Strategic Real Options Analysis: Managing Risk Through Flexibility
- Chapter 13: Capital Adequacy
- Chapter 14: Quantitative Credit and Market Risk Analysis: Analytical Techniques for Modeling Probability of Default, Loss Given Default, Economic Capital, Value at Risk, Portfolio Optimized Value at Risk, Interest Rates and Yield Curve, Delta-Gamma Hedging, Floating and Fixed Rates, Foreign Exchange Risk Hedging, Volatility, Commodity Prices, and Over-the-Counter Exotic Options
- Chapter 15: Portfolio Optimization and Management of Default Risk
- Chapter 16: Options Valuation
- Chapter 17: Exotic Options, Options Engineering, and Credit Risk
- Chapter 18: Credit and Debt Valuation
- Chapter 19: Building Integrated Exposure Systems
- Chapter 20: Building Risk-Adjusted Pricing Models
- Index
Product information
- Title: Credit Engineering for Bankers, 2nd Edition
- Author(s):
- Release date: November 2010
- Publisher(s): Academic Press
- ISBN: 9780123785862
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