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Marek Capiński

    1 de enero de 1951
    Stochastic Calculus for Finance
    Mathematics for Finance
    Discrete models of financial markets
    • This book explains in simple settings the fundamental ideas of financial market modelling and derivative pricing, using the no-arbitrage principle. Relatively elementary mathematics leads to powerful notions and techniques - such as viability, completeness, self-financing and replicating strategies, arbitrage and equivalent martingale measures - which are directly applicable in practice. The general methods are applied in detail to pricing and hedging European and American options within the Cox-Ross-Rubinstein (CRR) binomial tree model. A simple approach to discrete interest rate models is included, which, though elementary, has some novel features. All proofs are written in a user-friendly manner, with each step carefully explained and following a natural flow of thought. In this way the student learns how to tackle new problems.

      Discrete models of financial markets
    • Mathematics for Finance

      • 349 páginas
      • 13 horas de lectura

      Mathematics for Finance: An Introduction to Financial Engineering combines financial motivation with mathematical style.

      Mathematics for Finance
    • This brief but full introduction to basic stochastic processes contains key results that have become essential for finance practitioners and provides a solid grounding for understanding the Black-Scholes option pricing model. Students, practitioners and researchers will benefit from the authors' rigorous, but unfussy, approach to technical issues.

      Stochastic Calculus for Finance