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Marek Capiński

    1 de enero de 1951
    Company valuation
    Stochastic Calculus for Finance
    Mathematics for Finance
    Measure, integral and probability
    Probability through problems
    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
    • Probability through problems

      • 272 páginas
      • 10 horas de lectura

      This book of problems is designed to challenge students learning probability. Each chapter is divided into three Problems, Hints, and Solutions. All Problems sections include expository material, making the book self-contained. Definitions and statements of important results are interlaced with relevant problems. The only prerequisite is basic algebra and calculus.

      Probability through problems
    • A gentle introduction that makes measure and integration theory accessible to the average third-year undergraduate student. The ideas are developed at an easy pace in a form that is suitable for self-study, with an emphasis on clear explanations and concrete examples rather than abstract theory.

      Measure, integral and probability
    • 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