Description

Book Synopsis
This book provides a detailed study of Financial Mathematics. In addition to the extraordinary depth the book provides, it offers a study of the axiomatic approach that is ideally suited for analyzing financial problems. This book is addressed to MBA's, Financial Engineers, Applied Mathematicians, Banks, Insurance Companies, and Students of Business School, of Economics, of Applied Mathematics, of Financial Engineering, Banks, and more.

Table of Contents

Preface xvii

Part I. Deterministic Models 1

Chapter 1. Introductory Elements to Financial Mathematics 3

Chapter 2. Theory of Financial Laws 13

Chapter 3. Uniform Regimes in Financial Practice 41

Chapter 4. Financial Operations and their Evaluation: Decisional Criteria 91

Chapter 5. Annuities-Certain and their Value at Fixed Rate 147

Chapter 6. Loan Amortization and Funding Methods 211

Chapter 7. Exchanges and Prices on the Financial Market 289

Chapter 8. Annuities, Amortizations and Funding in the Case of Term Structures 331

Chapter 9. Time and Variability Indicators, Classical Immunization 363

Part II. Stochastic Models 409

Chapter 10. Basic Probabilistic Tools for Finance 411

Chapter 11. Markov Chains 457

Chapter 12. Semi-Markov Processes 481

Chapter 13. Stochastic or Itô Calculus 517

Chapter 14. Option Theory 553

Chapter 15. Markov and Semi-Markov Option Models 607

Chapter 16. Interest Rate Stochastic Models – Application to the Bond Pricing Problem 641

Chapter 17. Portfolio Theory 687

Chapter 18. Value at Risk (VaR) Methods and Simulation 703

Chapter 19. Credit Risk or Default Risk 743

Chapter 20. Markov and Semi-Markov Reward Processes and Stochastic Annuities 791

References 831

Index 839

Mathematical Finance: Deterministic and

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    A Hardback by Jacques Janssen, Raimondo Manca, Ernesto Volpe

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      Publisher: ISTE Ltd and John Wiley & Sons Inc
      Publication Date: 06/01/2009
      ISBN13: 9781848210813, 978-1848210813
      ISBN10: 1848210817

      Description

      Book Synopsis
      This book provides a detailed study of Financial Mathematics. In addition to the extraordinary depth the book provides, it offers a study of the axiomatic approach that is ideally suited for analyzing financial problems. This book is addressed to MBA's, Financial Engineers, Applied Mathematicians, Banks, Insurance Companies, and Students of Business School, of Economics, of Applied Mathematics, of Financial Engineering, Banks, and more.

      Table of Contents

      Preface xvii

      Part I. Deterministic Models 1

      Chapter 1. Introductory Elements to Financial Mathematics 3

      Chapter 2. Theory of Financial Laws 13

      Chapter 3. Uniform Regimes in Financial Practice 41

      Chapter 4. Financial Operations and their Evaluation: Decisional Criteria 91

      Chapter 5. Annuities-Certain and their Value at Fixed Rate 147

      Chapter 6. Loan Amortization and Funding Methods 211

      Chapter 7. Exchanges and Prices on the Financial Market 289

      Chapter 8. Annuities, Amortizations and Funding in the Case of Term Structures 331

      Chapter 9. Time and Variability Indicators, Classical Immunization 363

      Part II. Stochastic Models 409

      Chapter 10. Basic Probabilistic Tools for Finance 411

      Chapter 11. Markov Chains 457

      Chapter 12. Semi-Markov Processes 481

      Chapter 13. Stochastic or Itô Calculus 517

      Chapter 14. Option Theory 553

      Chapter 15. Markov and Semi-Markov Option Models 607

      Chapter 16. Interest Rate Stochastic Models – Application to the Bond Pricing Problem 641

      Chapter 17. Portfolio Theory 687

      Chapter 18. Value at Risk (VaR) Methods and Simulation 703

      Chapter 19. Credit Risk or Default Risk 743

      Chapter 20. Markov and Semi-Markov Reward Processes and Stochastic Annuities 791

      References 831

      Index 839

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