Morton Glantz – författare

After reading this book, readers will be able to:

Identify product consideration and borrower characteristics Understand expected vs. unexpected losses Evaluate the probability of default Determine the probability of a spread increase

The Banker''s Handbook on Credit Risk shows you how to comply with Basel II regulations on credit risk step by step, building on the basics in credit risk up to advanced credit risk methodologies. This advanced credit/risk management book takes a "new tools" approach to Basel II implementation. The hands-on applications covered in this book are vast, including areas of Basel II banking risk requirements (credit risk, credit spreads, default risk, value at risk, market risk, and so forth) and financial analysis (exotic options and valuation), to risk analysis (stochastic forecasting, risk-based Monte Carlo simulation, portfolio optimization) and real options analysis (strategic options and decision analysis). This book is targeted at banking practitioners and financial analysts who require the algorithms, examples, models, and insights in solving more advanced and even esoteric problems. The book comes complete with a DVD filled with sample modeling videos, case studies, and software applications to help the reader get started immediately. The various trial software applications included allows the reader to quickly access the approximately 670 modeling functions, 250 analytical model templates, and powerful risk-based simulation software to help in the understanding and learning of the concepts covered in the book, and also to use the embedded functions and algorithms in their own models. In addition, the reader can get started quickly in running risk-based Monte Carlo simulations, run advanced forecasting methods, and perform optimization on a myriad of situations, as well as structure and solve customized real options and financial options problems.- Only book to show bankers step by step how to comply with Basel II regulations on credit risk- Over 150 hands-on software applications included on the DVD accompanying the book, including sample modeling videos- Provides all the latest quantitative tools

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 toolsDemonstrates how bankers can use portfolio analytics to increase their insights about different groups of obligorsInvestigates ways to improve a portfolio’s return on risk while minimizing probability of insolvency

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

Multi-Asset Risk Modeling describes, in a single volume, the latest and most advanced risk modeling techniques for equities, debt, fixed income, futures and derivatives, commodities, and foreign exchange, as well as advanced algorithmic and electronic risk management. Beginning with the fundamentals of risk mathematics and quantitative risk analysis, the book moves on to discuss the laws in standard models that contributed to the 2008 financial crisis and talks about current and future banking regulation. Importantly, it also explores algorithmic trading, which currently receives sparse attention in the literature. By giving coherent recommendations about which statistical models to use for which asset class, this book makes a real contribution to the sciences of portfolio management and risk management. Covers all asset classes Provides mathematical theoretical explanations of risk as well as practical examples with empirical data Includes sections on equity risk modeling, futures and derivatives, credit markets, foreign exchange, and commodities

Multi-Asset Risk Modeling describes, in a single volume, the latest and most advanced risk modeling techniques for equities, debt, fixed income, futures and derivatives, commodities, and foreign exchange, as well as advanced algorithmic and electronic risk management. Beginning with the fundamentals of risk mathematics and quantitative risk analysis, the book moves on to discuss the laws in standard models that contributed to the 2008 financial crisis and talks about current and future banking regulation. Importantly, it also explores algorithmic trading, which currently receives sparse attention in the literature. By giving coherent recommendations about which statistical models to use for which asset class, this book makes a real contribution to the sciences of portfolio management and risk management.- Covers all asset classes- Provides mathematical theoretical explanations of risk as well as practical examples with empirical data- Includes sections on equity risk modeling, futures and derivatives, credit markets, foreign exchange, and commodities

The need for "back to basics" information about credit risk has not disappeared; in fact, it has grown among lenders and investors who have no easy ways to learn about their clients. This short and readable book guides readers through core risk/performance issues. Readers learn the ways and means of running more efficient businesses, review bank and investor requirements as they evaluate funding requests, gain knowledge selling themselves, confidence in business plans, and their ability to make good on loans. They can download powerful tools such as banker's cash flow models and forecast equations programmable into a cell or tablet. Readers can punch keys to ascertain financial needs, calculate sales growth rates calling for external financing, profits required to internally finance their firms, and ways to position revenue growth rates in equilibrium with their firm's capital structure - a rock-solid selling point among smart lenders and investors.

The book's "how-to," practical and systematical guide to credit and risk analysis draws upon case studies and online tools, such as videos, spreadsheets, and slides in providing a concise risk/return methodology.

Introduces ways to define and manage risk Uses case studies and online tools to extend and apply credit analysis and business management tools Surveys "hard" and "soft" data and ways they help lenders, other financiers, small-business owners, and entrepreneurs spot potential problems, write optimal business plans, and deliver effective loan or /investor geared presentations

The need for "back to basics" information about credit risk has not disappeared; in fact, it has grown among lenders and investors who have no easy ways to learn about their clients. This short and readable book guides readers through core risk/performance issues. Readers learn the ways and means of running more efficient businesses, review bank and investor requirements as they evaluate funding requests, gain knowledge selling themselves, confidence in business plans, and their ability to make good on loans. They can download powerful tools such as banker''s cash flow models and forecast equations programmable into a cell or tablet. Readers can punch keys to ascertain financial needs, calculate sales growth rates calling for external financing, profits required to internally finance their firms, and ways to position revenue growth rates in equilibrium with their firm''s capital structure – a rock-solid selling point among smart lenders and investors.The book''s "how-to," practical and systematical guide to credit and risk analysis draws upon case studies and online tools, such as videos, spreadsheets, and slides in providing a concise risk/return methodology.- Introduces ways to define and manage risk- Uses case studies and online tools to extend and apply credit analysis and business management tools- Surveys "hard" and "soft" data and ways they help lenders, other financiers, small-business owners, and entrepreneurs spot potential problems, write optimal business plans, and deliver effective loan or /investor geared presentations