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Stochastic Calculus for Finance I: The Binomial Asset Pricing Model by Steven Sh

Description: Stochastic Calculus for Finance I by Steven Shreve Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Stochastic Calculus for Finance evolved from the first ten years of the Carnegie Mellon Professional Masters program in Computational Finance. Publisher Description This book evolved from the first ten years of the Carnegie Mellon professional Masters program in Computational Finance. The contents of the book have 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 refined through classroom experience with this material, are provided throughout the book. Volume I introduces the fundamental concepts in a discrete-time setting and Volume II builds on this foundation to develop stochastic calculus, martingales, risk-neutral pricing, exotic options, and term structure models, all in continuous time.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. Classroom-tested exercises conclude every chapter; some of these extend the theory while others are drawn from practical problems in quantitative finance. Author Biography 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. Details ISBN 0387249680 ISBN-13 9780387249681 Title Stochastic Calculus for Finance I Author Steven Shreve Format Paperback Year 2005 Pages 187 Edition 1st Publisher Springer-Verlag New York Inc. GE_Item_ID:137845358; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 77.84 USD

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Stochastic Calculus for Finance I: The Binomial Asset Pricing Model by Steven Sh

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Restocking Fee: No

Return shipping will be paid by: Buyer

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ISBN-13: 9780387249681

Book Title: Stochastic Calculus for Finance I

Number of Pages: Xv, 187 Pages

Language: English

Publication Name: Stochastic Calculus for Finance I Vol. 1 : the Binomial Asset Pricing Model

Publisher: Springer New York

Publication Year: 2005

Subject: Probability & Statistics / General, Finance / General, Calculus, Applied

Type: Textbook

Item Weight: 23.3 Oz

Subject Area: Mathematics, Business & Economics

Author: Steven E. Shreve

Item Length: 9.3 in

Item Width: 6.1 in

Series: Springer Finance Ser.

Format: Trade Paperback

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