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....

\"Corporate Financial Policy and R&D Management\", Second Edition analyzes the factors affecting research and development (R&D) expenditures for U.S. corporations between 1971 and 2003, and the impact these expenditures have had on stockholder wealth creation....

Hardbound. This research annual presents state-of-the-art studies in the integration of mathematical planning and management. As the literature and techniques in financial planning and management become increasingly complex, our monographs aid in the dissemination of research efforts in quantitative financial analysis....