More Books:

Introduction to Financial Forecasting in Investment Analysis
Language: en
Pages: 236
Authors: John B. Guerard, Jr.
Categories: Business & Economics
Type: BOOK - Published: 2013-01-04 - Publisher: Springer Science & Business Media

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
Introduction to Financial Forecasting in Investment Analysis
Language: en
Pages: 236
Authors: John Guerard
Categories: Business & Economics
Type: BOOK - Published: 2013-01-03 - Publisher: Springer

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
Portfolio and Investment Analysis with SAS
Language: en
Pages: 230
Authors: John B. Guerard, Ziwei Wang, Ganlin Xu
Categories: Computers
Type: BOOK - Published: 2019-04-03 - Publisher: SAS Institute

Choose statistically significant stock selection models using SAS® Portfolio and Investment Analysis with SAS®: Financial Modeling Techniques for Optimization is an introduction to using SAS to choose statistically significant stock selection models, create mean-variance efficient portfolios, and aggressively invest to maximize the geometric mean. Based on the pioneering portfolio selection
Handbook Of Applied Investment Research
Language: en
Pages: 816
Authors: John B Guerard Jr, William T Ziemba
Categories: Business & Economics
Type: BOOK - Published: 2020-10-02 - Publisher: World Scientific

This book introduces the readers to the rapidly growing literature and latest results on financial, fundamental and seasonal anomalies, stock selection modeling and portfolio management. Fifty years ago, finance professors taught the Efficient Markets Hypothesis which states that the average investor could not outperform the stock market based on technical,
Neural Networks in Finance and Investing
Language: en
Pages: 513
Authors: Robert R. Trippi, Efraim Turban
Categories: Artificial intelligence
Type: BOOK - Published: 1993 - Publisher: Irwin Professional Publishing

Many believe that neural networks will eventually out-perform even the best traders and investors, yet this extraordinary technology remained largely inaccessible to practitioners--prior to this landmark text. Nowhere else will you find such a thorough and relevant examination of the applications and potential of this cutting-edge technology. This book not