John B. Guerard, Jr., is Director of Quantitative Research at McKinley Capital Management, Inc., in Anchorage, Alaska, specializing in quantitative models for stock selection and portfolio construction. For twenty years, he has served as a financial analyst, consultant, and executive, in such organizations as Drexel Burnham Lambert, Inc., Daiwa Securities Trust Co., Vantage Global Advisors, and Bryn Mawr Capital Management, Inc. He has taught courses in finance and investment at Rutgers University, New York University, and Lehigh University, among others, and has published in such journals as International Journal of Forecasting, Research in Finance, and Management Science. He is author or co-author of Handbook of Financial Decision Making (Probus Publishing Company, 1989), Forecasting Sales (JAI Press, 1994), Corporate Financial Policy and R&D Management (Wiley, 2005), Quantitative Corporate Finance (Springer, 2007), and editor of The Handbook of Portfolio Construction (Springer, 2009).

From the reviews: "This book is designed as a concise introduction to forecasting methods useful in investment analysis. ... The structure of the book is clear and logical. Each chapter ends with a summary and list of relevant references. The huge number of practical cases makes the book particularly useful for beginners in the field, allowing them to get deeper knowledge about the presented tools. The book is designed for students and scholars interested in the area as well as investment practitioners." (Malgorzata Doman, zbMATH, Vol. 1279, 2014)

• Chapter 1: Why do we forecast?.- Chapter 2: Regression Analysis and Forecasting Models.- Chapter 3: An Introduction to Time Series Modeling and Forecasting.- Chapter 4: Regression Analysis and Multicollinearity: Two Case Studies.- Chapter 5: Multiple Time Series Analysis and Causality Testing.- Chapter 6: A Case Study of Portfolio Construction using the USER Data and the Barra Aegis System.- Chapter 7: More Efficient Portfolios Featuring the USER Data and an Extension to Global Data and Investment Universes.- Chapter 8: Forecasting World Stock Returns and Improved Asset Allocation.- Chapter 9: Summary and Conclusions.

John B. Guerard, Jr., is Director of Quantitative Research at McKinley Capital Management, Inc., in Anchorage, Alaska, specializing in quantitative models for stock selection and portfolio construction. For twenty years, he has served as a financial analyst, consultant, and executive, in such organizations as Drexel Burnham Lambert, Inc., Daiwa Securities Trust Co., Vantage Global Advisors, and Bryn Mawr Capital Management, Inc. He has taught courses in finance and investment at Rutgers University, New York University, and Lehigh University, among others, and has published in such journals as International Journal of Forecasting, Research in Finance, and Management Science. He is author or co-author of Handbook of Financial Decision Making (Probus Publishing Company, 1989), Forecasting Sales (JAI Press, 1994), Corporate Financial Policy and R&D Management (Wiley, 2005), Quantitative Corporate Finance (Springer, 2007), and editor of The Handbook of Portfolio Construction (Springer, 2009).

From the reviews: "This book is designed as a concise introduction to forecasting methods useful in investment analysis. ... The structure of the book is clear and logical. Each chapter ends with a summary and list of relevant references. The huge number of practical cases makes the book particularly useful for beginners in the field, allowing them to get deeper knowledge about the presented tools. The book is designed for students and scholars interested in the area as well as investment practitioners." (Malgorzata Doman, zbMATH, Vol. 1279, 2014)

• Chapter 1: Why do we forecast?.- Chapter 2: Regression Analysis and Forecasting Models.- Chapter 3: An Introduction to Time Series Modeling and Forecasting.- Chapter 4: Regression Analysis and Multicollinearity: Two Case Studies.- Chapter 5: Multiple Time Series Analysis and Causality Testing.- Chapter 6: A Case Study of Portfolio Construction using the USER Data and the Barra Aegis System.- Chapter 7: More Efficient Portfolios Featuring the USER Data and an Extension to Global Data and Investment Universes.- Chapter 8: Forecasting World Stock Returns and Improved Asset Allocation.- Chapter 9: Summary and Conclusions.

John B. Guerard, Jr., is Director of Quantitative Research at McKinley Capital Management, Inc., in Anchorage, Alaska, specializing in quantitative models for stock selection and portfolio construction. For twenty years, he has served as a financial analyst, consultant, and executive, in such organizations as Drexel Burnham Lambert, Inc., Daiwa Securities Trust Co., Vantage Global Advisors, and Bryn Mawr Capital Management, Inc. He has taught courses in finance and investment at Rutgers University, New York University, and Lehigh University, among others, and has published in such journals as International Journal of Forecasting, Research in Finance, and Management Science. He is author or co-author of Handbook of Financial Decision Making (Probus Publishing Company, 1989), Forecasting Sales (JAI Press, 1994), Corporate Financial Policy and R&D Management (Wiley, 2005), Quantitative Corporate Finance (Springer, 2007), and editor of The Handbook of Portfolio Construction (Springer, 2009).

From the reviews: "This book is designed as a concise introduction to forecasting methods useful in investment analysis. ... The structure of the book is clear and logical. Each chapter ends with a summary and list of relevant references. The huge number of practical cases makes the book particularly useful for beginners in the field, allowing them to get deeper knowledge about the presented tools. The book is designed for students and scholars interested in the area as well as investment practitioners." (Malgorzata Doman, zbMATH, Vol. 1279, 2014)

• Chapter 1: Why do we forecast?.- Chapter 2: Regression Analysis and Forecasting Models.- Chapter 3: An Introduction to Time Series Modeling and Forecasting.- Chapter 4: Regression Analysis and Multicollinearity: Two Case Studies.- Chapter 5: Multiple Time Series Analysis and Causality Testing.- Chapter 6: A Case Study of Portfolio Construction using the USER Data and the Barra Aegis System.- Chapter 7: More Efficient Portfolios Featuring the USER Data and an Extension to Global Data and Investment Universes.- Chapter 8: Forecasting World Stock Returns and Improved Asset Allocation.- Chapter 9: Summary and Conclusions.