Quantitative Corporate Finance is designed to be an advanced graduate corporate financial management textbook. The book will address several problems in contemporary corporate finance: optimal capital structure, both in the US and in the G7 economies, the Capital Asset Pricing Model (CAPM) and the Arbitrage Pricing Model (APT) and the implications for the cost of capital, dividend policy, sales forecasting and pro forma statement analysis, leverage and bankruptcy, and mergers and acquisitions.

Quantitative Corporate Finance presents a comprehensive treatment of the legal arrangement of the corporation, the instruments and institutions through which capital can be raised, the management of the flow of funds through the individual firm, and the methods of dividing the risks and returns among the various contributors of funds. Guerard and Schwartz cover a wide variety of tools and techniques used to evaluate and manage financial performance, with particular emphasis on the application of regression analysis, time series modeling, the Capital Asset Pricing Model (CAPM), and multi-factor risk models. Moreover, they address such timely topics as optimal capital structure (in the United States and internationally), dividend policy, sales forecasting and pro forma statement analysis, the regulatory environment, mergers and acquisitions, bankruptcy, management-shareholder relations, and the corporation as a social and economic institution. Featuring detailed worked examples and practical problems throughout, the book is designed to serve as a graduate-level text and a practical reference for practitioners, analysts, and regulators.

"In Chapters 1 to 11, Quantitative Corporate Finance covers basic financial analysis, legal-regulatory background, financing instruments, financing, and capital budgeting. The strength of this text that differentiates it from more traditional (i.e., less quantitative) corporate finance texts is an introduction to statistics and forecasting (Chapter 12) and on-going integration of statistical and forecasting tools into much of the following ten chapters. It is also very strong on integrating modern portfolio theory and competitive financial markets with imperfect, costly information into decision frameworks (including multifactor/multibeta risk and BARRA optimization). In the hands of a skilled instructor, this text can move students closer to that crucial job skill of being able to apply and use financial concepts and methods - a critical need for today's very competitive market for finance graduates."

Bernell K. Stone, Harold F. Silver Professor of Finance, Brigham Young University

"Guerard and Schwartz have written an excellent introduction to quantitative corporate finance, making their ideas accessible to practicing managers and students alike."

Jim Vander Weide, Research Professor of Finance and Economics, Duke University