Your complete guide to quantitative analysis in the investment industry Quantitative Investment Analysis, Third Edition is a newly revised and updated text that presents you with a blend of theory and practice materials to guide you through the use of statistics within the context of finance and investment. With equal focus on theoretical concepts and their practical applications, this approachable resource offers features, such as learning outcome statements, that are targeted at helping you understand, retain, and apply the information you have learned. Throughout the text's chapters, you explore a wide range of topics, such as the time value of money, discounted cash flow applications, common probability distributions, sampling and estimation, hypothesis testing, and correlation and regression. Applying quantitative analysis to the investment process is an important task for investment pros and students. A reference that provides even subject matter treatment, consistent mathematical notation, and continuity in topic coverage will make the learning process easier—and will bolster your success. Explore the materials you need to apply quantitative analysis to finance and investment data—even if you have no previous knowledge of this subject area Access updated content that offers insight into the latest topics relevant to the field Consider a wide range of subject areas within the text, including chapters on multiple regression, issues in regression analysis, time-series analysis, and portfolio concepts Leverage supplemental materials, including the companion Workbook and Instructor's Manual, sold separately Quantitative Investment Analysis, Third Edition is a fundamental resource that covers the wide range of quantitative methods you need to know in order to apply quantitative analysis to the investment process.

An update of a classic book in the field, Modern Portfolio Theory examines the characteristics and analysis of individual securities as well as the theory and practice of optimally combining securities into portfolios. It stresses the economic intuition behind the subject matter while presenting advanced concepts of investment analysis and portfolio management. Readers will also discover the strengths and weaknesses of modern portfolio theory as well as the latest breakthroughs.

Written by a widely respected author team, this investments text takes an empirical approach to explaining current, real-world practice. Providing the most comprehensive coverage available, the text emphasizes investment alternatives and teaches students how to analyze these choices and manage their portfolios.

Forecasting—the art and science of predicting future outcomes—has become a crucial skill in business and economic analysis. This volume introduces the reader to the tools, methods, and techniques of forecasting, specifically as they apply to financial and investing decisions. With an emphasis on "earnings per share" (eps), the author presents a data-oriented text on financial forecasting, understanding financial data, assessing firm financial strategies (such as share buybacks and R&D spending), creating efficient portfolios, and hedging stock portfolios with financial futures. The opening chapters explain how to understand economic fluctuations and how the stock market leads the general economic trend; introduce the concept of portfolio construction and how movements in the economy influence stock price movements; and introduce the reader to the forecasting process, including exponential smoothing and time series model estimations. Subsequent chapters examine the composite index of leading economic indicators (LEI); review financial statement analysis and mean-variance efficient portfolios; and assess the effectiveness of analysts’ earnings forecasts. Using data from such firms as Intel, General Electric, and Hitachi, Guerard demonstrates how forecasting tools can be applied to understand the business cycle, evaluate market risk, and demonstrate the impact of global stock selection modeling and portfolio construction.

This textbook is designed as a core text for finance courses that cover market investments, portfolio formation, and the management of investment portfolios. As such, the text seeks to convey insight and actual wisdom as to the nature of these activities. When combined with a commitment to thinking independently, the text offers the student a rigorous preparation for entry to the funds management industry. The text is presented in three parts. In Part A, the text introduces the fundamental techniques of investment analysis: a "bottom-up" and "top-down" analysis of the firm aimed at an evaluation of the underlying share as a "buy", "hold", or a "sell" recommendation. Part B offers the reader an intuitive grasp of the nature of investment growth, both across time and across assets. Part C introduces the reader to the technicalities of portfolio construction and portfolio management. The text concludes with an assessment of the funds management industry. The text builds in step-by-step stages with Illustrative Examples that consolidate the student’s progress and understanding through each chapter. Each of parts A, B, and C (above) has sufficient material to justify a separate course. If the student has exposure to a more foundational course in finance, Parts A and B can be covered as a single course. If from other courses, the student is familiar with the essence of Parts A and B and with statistical concepts, the text can be covered as a single course. The text can therefore be presented readily at either an undergraduate or postgraduate level at a pace appropriate to the student’s prior exposure to the concepts.

This book introduces and explains how to conduct a Social Return on Investment (SROI) analysis. It discusses the various advantages and disadvantages of different research strategies and designs, and explores the different ways in which SROI analysis results can be used for communication, outreach, and strategic decision-making. It provides insights into how and to what extent SROI analyses can help to meet different expectations, and presents different social impact research designs and methods. It presents an analytical framework for the identification of a proper SROI analysis, and shows readers how to establish an impact model, introducing a stakeholder-based approach.

"Policy-makers often call for expanding public spending on infrastructure, which includes a broad range of investments from roads and bridges to digital networks that will expand access to high-speed broadband. Some point to near-term macro-economic benefits and job creation, others focus on long-term effects on productivity and economic growth. This volume explores the links between infrastructure spending and economic outcomes, as well as key economic issues in the funding and management of infrastructure projects. It draws together research studies that describe the short-run stimulus effects of infrastructure spending, develop new estimates of the stock of U.S. infrastructure capital, and explore the incentive aspects of public-private partnerships (PPPs). A salient issue is the treatment of risk in evaluating publicly-funded infrastructure projects and in connection with PPPs. The goal of the volume is to provide a reference for researchers seeking to expand research on infrastructure issues, and for policy-makers tasked with determining the appropriate level of infrastructure spending"--