Portfolio risk forecasting has been and continues to be an active research field for both academics and practitioners. Almost all institutional investment management firms use quantitative models for their portfolio forecasting, and researchers have explored models' econometric foundations, relative performance, and implications for capital market behavior and asset pricing equilibrium. Portfolio Risk Analysis provides an insightful and thorough overview of financial risk modeling, with an emphasis on practical applications, empirical reality, and historical perspective. Beginning with mean-variance analysis and the capital asset pricing model, the authors give a comprehensive and detailed account of factor models, which are the key to successful risk analysis in every economic climate. Topics range from the relative merits of fundamental, statistical, and macroeconomic models, to GARCH and other time series models, to the properties of the VIX volatility index. The book covers both mainstream and alternative asset classes, and includes in-depth treatments of model integration and evaluation. Credit and liquidity risk and the uncertainty of extreme events are examined in an intuitive and rigorous way. An extensive literature review accompanies each topic. The authors complement basic modeling techniques with references to applications, empirical studies, and advanced mathematical texts. This book is essential for financial practitioners, researchers, scholars, and students who want to understand the nature of financial markets or work toward improving them.
2008 American Publishers Awards for Professional and Scholarly Excellence (The PROSE Awards) Finalist/Honorable mention, Business, Finance & Management. The Fundamental Index examines a new approach to indexing that can overcome the structural return drag created by traditional capitalization-based indexing strategies, and in so doing, enhance the performance of your portfolio. Throughout this book, Robert Arnott and his colleagues outline this breakthrough strategy and explain how it can be used to improve investment returns, typically at lower risk and lower cost than most conventional investments.
An entertaining summary of the broad reshaping of U.S. corporate finance in the last decade and a half. The late 1980s saw a huge wave of corporate leveraging. The U.S. financial landscape was dominated by a series of high-stakes leveraged buyouts as firms replaced their equity with new fixed debt obligations. Cash-financed acquisitions and defensive share repurchases also decapitalized corporations. This trend culminated in the sensational debt-financed bidding for RJR-Nabisco, the largest leveraged buyout of all time, before dramatically reversing itself in the early 1990s with a rapid return to equity.This entertaining summary of the broad reshaping of U.S. corporate finance in the last decade and a half looks at three major issues: why corporations leveraged up in the first place, why and how the leverage wave came to an end, and what policy lessons are to be drawn.Using the Minsky-Kindleberger model as a framework, the authors interpret the rise and fall of leveraging as a financial market mania. In the course of chronicling the return to equity in the 1990s, they address a number of important corporate finance questions: How important was the return to equity in relieving corporations' debt burdens? How did the return to equity affect the ability of young high-tech firms to finance themselves without selling out to foreign firms?
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