Stochastic Calculus for Finance I

1.823,40 TL
Yayınevi
Barkod
9780387249681
Yazar
Shreve, Steven E.
Yayın Dili
İngilizce
Yayın Yılı
2005
Sayfa Sayısı
203
Kapak Tipi
Karton Kapak
Piyasa Fiyatı
49,95 EUR
Stochastic Calculus for Finance I: The Binomial Asset Pricing Model

"Stochastic Calculus for Finance" evolved from the first ten years of the Carnegie Mellon Professional Master's program in Computational Finance. The content of this book has been used successfully with students whose mathematics background consists of calculus and calculus-based probability. The text gives both precise statements of results, plausibility arguments, and even some proofs, but more importantly intuitive explanations developed and refine through classroom experience with this material are provided. The book includes a self-contained treatment of the probability theory needed for stochastic calculus, including Brownian motion and its properties. Advanced topics include foreign exchange models, forward measures, and jump-diffusion processes. This book is being published in two volumes. The first volume presents the binomial asset-pricing model primarily as a vehicle for introducing in the simple setting the concepts needed for the continuous-time theory in the second volume. Chapter summaries and detailed illustrations are included. Classroom tested exercises conclude every chapter. Some of these extend the theory and others are drawn from practical problems in quantitative finance. Advanced undergraduates and Masters level students in mathematical finance and financial engineering will find this book useful. Steven E. Shreve is Co-Founder of the Carnegie Mellon MS Program in Computational Finance and winner of the Carnegie Mellon Doherty Prize for sustained contributions to education.
  1. The Binomial No-Arbitrage Pricing Model1.1. One-Period Binomial Model1.2. Multiperiod Binomial Model1.3. Computational Considerations1.4. Summary1.5. Notes1.6. Exercises 2. Probability Theory on Coin Toss Space2.1. Finite Probability Spaces2.2. Random Variables, Distributions, and Expectations2.3. Conditional Expectations2.4. Martingales2.5. Markov Processes2.6. Summary2.7. Notes2.8. Exercises 3. State Prices3.1. Change of Measure3.2. Radon-Nikod\'ym Derivative Process3.3. Capital Asset Pricing Model3.4. Summary3.5. Notes3.6. Exercises 4. American Derivative Securities4.1. Introduction4.2. Non-Path-Dependent American Derivatives4.3. Stopping Times4.4. General American Derivatives4.5. American Call Options4.6. Summary4.7. Notes4.8. Exercises 5. Random Walk5.1. Introduction5.2. First Passage Times5.3. Reflection Principle5.4. Perpetual American Put: An Example5.5. Summary5.6. Notes5.7. Exercises 6. Interest-Rate-Dependent Assets6.1. Introduction6.2. Binomial Model for Interest Rates6.3. Fixed-Income Derivatives6.4. Forward Measures6.5. Futures6.6. Summary6.7. Notes6.8. Exercises Proof of Fundamental Properties of Conditional ExpectationsReferencesIndex
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Stochastic Calculus for Finance I Springer 9780387249681
Stochastic Calculus for Finance I

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