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An Analytical Approach to Investments, Finance, and Credit provides a highly practical and relevant guide to graduating students beginning their careers in investment banking. The author applies his 30 plus years of experience in banking and 15 years of teaching as an adjunct finance professor to effectively combine the core principals of an academic textbook with the practical training that major investment banks provide to first-year analysts. Part I introduces the student to investment portfolio concepts including volatility risk, alpha, beta, Sharpe ratio, and efficient frontiers. Part II covers the primary markets where companies access the equity, bond, and loan markets. Part III explains these markets from the investor's point of view, covering the secondary trading markets of stocks, bonds, loans, and derivatives. Part IV comprises corporate finance fundamentals that many investment banks require for valuation, financial, and credit analysis for private and publicly traded companies. Part V provides students with step-by-step financial modeling for analyzing leveraged buyouts, mergers and acquisitions, and other complex financial models. These models are accessible via the Cognella Active Learning platform. Throughout the text, the author provides multiple case studies that bridge the gap between academic concepts and practical application, which reinforces critical thinking.
A hands-on guide to the theory and practice of bank credit analysis and ratings In this revised edition, Jonathan Golin and Philippe Delhaise expand on the role of bank credit analysts and the methodology of their practice. Offering investors and practitioners an insider's perspective on how rating agencies assign all-important credit ratings to banks, the book is updated to reflect today's environment of increased oversight and demands for greater transparency. It includes international case studies of bank credit analysis, suggestions and insights for understanding and complying with the Basel Accords, techniques for reviewing asset quality on both quantitative and qualitative bases, explores the restructuring of distressed banks, and much more. Features charts, graphs, and spreadsheet illustrations to further explain topics discussed in the text Includes international case studies from North America, Asia, and Europe that offer readers a global perspective Offers coverage of the Basel Accords on Capital Adequacy and Liquidity and shares the authors' view that a bank could be compliant under those and other regulations without being creditworthy A uniquely practical guide to bank credit analysis as it is currently practiced around the world, The Bank Credit Analysis Handbook, Second Edition is a must-have resource for equity analysts, credit analysts, and bankers, as well as wealth managers and investors.
This book provides a unique, focused introduction to the analytical skills, methods and techniques in the assessment of credit risk that are necessary to tackle and analyze complex credit problems. It employs models and techniques from operations research and management science to investigate more closely risk models for applications within the banking industry and in financial markets. Furthermore, the book presents the advances and trends in model development and validation for credit scoring/rating, the recent regulatory requirements and the current best practices. Using examples and fully worked case applications, the book is a valuable resource for advanced courses in financial risk management, but also helpful to researchers and professionals working in financial and business analytics, financial modeling, credit risk analysis, and decision science.
Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for interested parties.
If you’re seeking solutions to advanced and even esoteric problems, Advanced Analytical Models goes beyond theoretical discussions of modeling by facilitating a thorough understanding of concepts and their real-world applications—including the use of embedded functions and algorithms. This reliable resource will equip you with all the tools you need to quantitatively assess risk in a range of areas, whether you are a risk manager, business decision-maker, or investor.
� Worked examples illustrating key points � Explanation of complex or obscure terms � Full glossary of terms The titles in this series, all previously published by BPP Training, are now available in entirely updated and reformatted editions. Each offers an international perspective on a particular aspect of risk management. Topics included in this title in the Credit Risk Management series include Establishing overall corporate goals for credit worthiness; Implementing credit analysis systems; Outsourcing to enhance credit analysis techniques; Case studies in applied credit analysis; Exercises and sample credit analysis programs. Intended for: risk managers, financial officers, fund managers, investment advisers, accountants, and students of business and finance.