menu
{ "item_title" : "Stochastic Calculus for Finance", "item_author" : [" Marek Capiński", "Ekkehard Kopp", "Janusz Traple "], "item_description" : "This book focuses specifically on the key results in stochastic processes that have become essential for finance practitioners to understand. The authors study the Wiener process and Itintegrals in some detail, with a focus on results needed for the Black-Scholes option pricing model. After developing the required martingale properties of this process, the construction of the integral and the Itformula (proved in detail) become the centrepiece, both for theory and applications, and to provide concrete examples of stochastic differential equations used in finance. Finally, proofs of the existence, uniqueness and the Markov property of solutions of (general) stochastic equations complete the book. Using careful exposition and detailed proofs, this book is a far more accessible introduction to Itcalculus than most texts. Students, practitioners and researchers will benefit from its rigorous, but unfussy, approach to technical issues. Solutions to the exercises are available online.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/10/700/264/1107002648_b.jpg", "price_data" : { "retail_price" : "88.00", "online_price" : "88.00", "our_price" : "88.00", "club_price" : "88.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Stochastic Calculus for Finance|Marek Capiński

Stochastic Calculus for Finance

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This book focuses specifically on the key results in stochastic processes that have become essential for finance practitioners to understand. The authors study the Wiener process and It integrals in some detail, with a focus on results needed for the Black-Scholes option pricing model. After developing the required martingale properties of this process, the construction of the integral and the It formula (proved in detail) become the centrepiece, both for theory and applications, and to provide concrete examples of stochastic differential equations used in finance. Finally, proofs of the existence, uniqueness and the Markov property of solutions of (general) stochastic equations complete the book. Using careful exposition and detailed proofs, this book is a far more accessible introduction to It calculus than most texts. Students, practitioners and researchers will benefit from its rigorous, but unfussy, approach to technical issues. Solutions to the exercises are available online.

This item is Non-Returnable

Details

  • ISBN-13: 9781107002647
  • ISBN-10: 1107002648
  • Publisher: Cambridge University Press
  • Publish Date: August 2012
  • Dimensions: 9 x 6 x 0.7 inches
  • Shipping Weight: 0.95 pounds
  • Page Count: 186

Related Categories

You May Also Like...

    1

BAM Customer Reviews