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Financial Engineering and Computation: Principles, Mathematics and Algorithms by Yuh-Dauh Lyuu
  • Financial Engineering and Computation: Principles, Mathematics and Algorithms

  • by Yuh-Dauh Lyuu
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    Description of Financial Engineering and Computation: Principles, Mathematics and Algorithms

    Nowadays students and professionals intending to work in any area of finance must master not only advanced concepts and mathematical models but also learn how to implement these models computationally. This comprehensive text combines the theory and mathematics behind financial engineering with an emphasis on computation, in keeping with the way financial engineering is practised in today's capital markets.

    Unlike most books on investments, financial engineering, or derivative securities, the book starts from very basic ideas in finance and gradually builds up the theory. It offers a thorough grounding in the subject for MBAs in finance, students of engineering and sciences who are pursuing a career in finance, researchers in computational finance, system analysts, and financial engineers.

    Aong with the theory, the author presents numerous algorithms for pricing, risk management, and portfolio management. The emphasis is on pricing financial and derivative securities: bonds, options, futures, forwards, interest rate derivatives, mortgage-backed securities, bonds with embedded options, and more. Each instrument is treated in a short, self-contained chapter for ready reference use.

    Reviews

    "offers a thorough grounding in the subject or MBAs in finance, students of engineering and sciences who are pursuing a career in finance, researchers in computational finance, system analysts, and financial engineers."
    - Zentralblatt für Didaktik der Mathematik

    Contents of Financial Engineering and Computation: Principles, Mathematics and Algorithms

    1. Introduction
    2. Analysis of algorithms
    3. Basic financial mathematics
    4. Bond price volatility
    5. Term structure of interest rates
    6. Fundamental statistical concepts
    7. Option basics
    8. Arbitrage in option pricing
    9. Option pricing models
    10. Sensitivity analysis of options
    11. Extensions of options theory
    12. Forwards, futures, futures options, swaps
    13. Stochastic processes and Brownian motion
    14. Continuous-time financial mathematics
    15. Continuous-time pricing
    16. Hedging
    17. Trees
    18. Numerical methods
    19. Matrix computation
    20. Time series and estimation
    21. Interest rate derivative securities
    22. Term structure fitting
    23. Introduction to term structure modeling
    24. Foundations of term structure modeling
    25. Equilibrium term structure models
    26. No-arbitrage term structure models
    27. Fixed-income securities
    28. Introduction to mortgage-backed securities
    29. Analysis of mortgage-backed securities
    30. Collateralized mortgage obligations
    31. Modern portfolio theory
    32. Software


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