Financial Optimization / Edition 1

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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.

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Product Details

  • ISBN-13: 9780521577779
  • Publisher: Cambridge University Press
  • Publication date: 6/28/2002
  • Edition description: REPRINT
  • Edition number: 1
  • Pages: 372
  • Sales rank: 1,305,129
  • Product dimensions: 5.98 (w) x 8.98 (h) x 0.83 (d)

Table of Contents

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 financial manager's desk M. Avriel; 8. A flexible approach to interest rate risk management H. Dahl; 9. Currency hedging strategies for US investments in Japan, and Japanese investments in the US W. Ziemba; Part III. Methodologies: 10. Incorporating transaction costs in models for asset allocations J. Mulvey; 11. Bond portfolio analysis using integer programming R. Nauss; 12. Scenario immunization R. Dembo; 13. Mortgages and Markov chains: a simplified evaluation model P. Zipkin; 14. Parallel Monte Carlo simulation of mortgage backed securities S. Zenios.

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