Steven Shreve

eBook, PDF

Stochastic Calculus for Finance I (eBook, PDF)

The Binomial Asset Pricing Model

Beschreibung

This book evolved from the first ten years of the Carnegie Mellon professional Master's 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 author does not assume familiarity with advanced mathematical concepts from measure-theoretic probability, but rather develops the necessary tools from this subject informally within the text. Many classroom-tested examples, exercises, and intuitive arguments are presented throughout the book.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 13.58MB

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• Keine Einschränkung der Vorlesefunktionen, außer bei spezifischen Ausnahmen
• Bekannt für fehlende wesentliche Barrierefreiheitsmerkmale

Produktdetails

• Verlag: Springer US
• Seitenzahl: 187
• Erscheinungstermin: 1. November 2019
• Englisch
• ISBN-13: 9780387225272
• Artikelnr.: 60046992

Rezensionen

From the reviews of the first edition:

"Steven Shreve's comprehensive two-volume Stochastic Calculus for Finance may well be the last word, at least for a while, in the flood of Master's level books.... a detailed and authoritative reference for 'quants' (formerly known as 'rocket scientists'). The books are derived from lecture notes that have been available on the Web for years and that have developed a huge cult following among students, instructors, and practitioners. The key ideaspresented in these works involve the mathematical theory of securities pricing based upon the ideas of classical finance. ...the beauty of mathematics is partly in the fact that it is self-contained and allows us to explore the logical implications of

our hypotheses. The material of this volume of Shreves's text is a wonderful display of the use of mathematical probability to derive a large set of results from a small set of assumptions. In summary, this is a well-written text that treats the key classical models of finance through an applied probability approach. It is accessible to a broad audience and has been developed after years of teaching the subject. It should serve as an excellent introduction for anyone studyin the mathematics of the classical theory of finance."
-- SIAM, 2005

'This is the first of the two-volume series evolving from the author's mathematics courses in M.Sc. Computational Finance program at Carnegie Mellon University (USA). The content of this book is organized such as to give the reader precise statements of results, plausibility arguments, mathematical proofs and, more importantly, the intuitive explanations of the financial and economic phenomena. Each chapter concludes with summary of the discussed matter, bibliographic notes, and a set of really useful exercises.' (Neculai Curteanu, Zentralblatt MATH, Vol. 1068, 2005)