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 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 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
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
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
Featuring new credit engineering tools, "Managing Bank Risk" combines innovative analytic methods with traditional credit management processes. Professor Glantz provides print and electronic risk-measuring tools that ensure credits are made in accordance with bank policy and regulatory requirements, giving bankers with the data necessary for judging asset quality and value.
Morton Hunt gives us the first serious overview of this threat to behavioral and social science research. He illustrates precisely how scientific research has been subjected to political attack. The New Know-Nothings illustrates this phenomenon using in-depth case histories and background discussions of the conflicting social forces involved. It considers the prevalence of each form of opposition to research, using interviews with expert observers in the sciences and government.
At present much of political science consists of a large body of formal mathematical work that remains largely unexplored empirically and an expanding use of sophisticated statistical techniques. While there are examples of noteworthy efforts to bridge the gap between these, there is still a need for much more cooperative work between formal theorists and empirical researchers in the discipline. This book explores how empirical analysis has, can, and should be used to evaluate formal models in political science. The book is intended to be a guide for active and future political scientists who are confronting the issues of empirical analysis with formal models in their work and as a basis for a needed dialogue between empirical and formal theoretical researchers in political science. These developments, if combined, are potentially a basis for a new revolution in political science.
Barack Obama swept into office in 2008, capitalizing on his fresh and compelling political persona, the appeal of his "Hope and Change" campaign, the pre-election financial crisis, and a wave of popular discontent with his predecessor. The nation's first African-American president stirred unusually high expectations, and his first term saw the passage of a substantial economic stimulus package, a large-scale expansion of financial regulation, a drawdown in Iraq, and his signature health care reform. But a stagnant economy persisted. His personal popularity had no effect on the persistent disapproval of his program. The Democrats suffered a severe electoral setback in the 2010 Congressional election. But Obama's exceptional campaign organization, his strong personal appeal, and a weak Republican opponent won him a second term in 2012. Now his presidency is in its final stage. In Obama's Time, eminent historian Morton Keller has written the first historical assessment of Barack Obama's presidency. Drawing on a lifetime of scholarship on American history and politics, Keller examines Obama's presidential persona and governing style, his domestic and foreign policies, and his place in the broader history of American politics. Obama is deeply committed to active federal government, in the tradition of FDR's New Deal and LBJ's Great Society. But his ambitions have been tempered by the heavy weight of existing institutions and past precedents, strong Republican opposition, and unforeseen events. Keller concludes that this is a time when the centralized bureaucratic state faces a deep crisis of legitimacy. He ascribes the intense party polarization to a political culture in which the media, advocacy groups, and ideologically-driven donors have outsize influence. Historians will continue to debate the Obama presidency for decades to come. Keller's account of how Obama governed, the larger political context in which he functioned, and why he was unable to close the gap between expectations and reality, will be invaluable to that debate.
Featuring new credit engineering tools, "Managing Bank Risk" combines innovative analytic methods with traditional credit management processes. Professor Glantz provides print and electronic risk-measuring tools that ensure credits are made in accordance with bank policy and regulatory requirements, giving bankers with the data necessary for judging asset quality and value.
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 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
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