This book clearly presents the exciting symbiosis between the fields of finance and management science and operations research.This book achieves two objectives. First, it brings together the (apparently) diverse fields of finance and management science/operations research. Second, it links current industrial practices with academic research to a degree unparalleled by any previous publication in the field.This book achieves two objectives. First, it brings together the (apparently) diverse fields of finance and management science/operations research. Second, it links current industrial practices with academic research to a degree unparalleled by any previous publication in the field.The use of mathematical models in financial management is today common business practice. The state of the art is constantly being advanced by academia and refined by industry. This book achieves two objectives. First, it brings together the (apparently) diverse fields of finance and management science/operations research. It presents a variety of techniques used in complex problems for financial management: optimization, simulation, stochastic programming and supercomputing. Second, it links current industrial practices with academic research to a degree unparalleled by any previous publication in the field.Preface Patrick T. Harker; Introduction Stavros A. Zenios; Part I. General Overview: 1. Some financial optimization models: I Risk management H. Dahl, A. Meeraus, and S. Zenios; 2. Some financial optimization models: II Financial engineering H. Dahl, A. Meeraus and S. Zenios; 3. Empirical tests of optimization P. Muller; 4. Recent results in mean-variance analysis H. Markowitz; Part II. Applications: 5. An economic approach to the valuation of single premium deferred annuities M. Asay, P. J. Bouyoucos and A. M. Marciano; 6. Optimal horizon portfolio return under varying interest rate scenarios E. Adamidou, Y. Ben-Dov, L. Prendergast and V. Pica; 7. Optimization tools for the finl6