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Mastering Mathematical Finance Ser.: Probability for Finance by Tomasz Zastawniak, Jan Malczak and Ekkehard Kopp (2013, Trade Paperback)

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About this product

Product Identifiers

PublisherCambridge University Press

ISBN-100521175577

ISBN-139780521175579

eBay Product ID (ePID)168582094

Product Key Features

Number of Pages196 Pages

Publication NameProbability for Finance

LanguageEnglish

Publication Year2013

SubjectProbability & Statistics / General, Finance / General, Statistics

TypeTextbook

AuthorTomasz Zastawniak, Jan Malczak, Ekkehard Kopp

Subject AreaMathematics, Business & Economics

SeriesMastering Mathematical Finance Ser.

FormatTrade Paperback

Dimensions

Item Height0.5 in

Item Weight10.6 Oz

Item Length9 in

Item Width6 in

Additional Product Features

Intended AudienceScholarly & Professional

Dewey Edition23

IllustratedYes

Dewey Decimal332.01519

Table Of ContentPreface; 1. Probability space; 2. Probability distributions and random variables; 3. Product measure and independence; 4. Conditional expectation; 5. Sequences of random variables; Index.

SynopsisStudents and instructors alike will benefit from this rigorous, unfussy text. It keeps a clear focus on the basic probabilistic concepts required for an understanding of financial market models, including independence, conditioning and limit theorems for random sequences. Motivational examples, careful proofs and plenty of exercises facilitate self-study., Students and instructors alike will benefit from this rigorous, unfussy text, which keeps a clear focus on the basic probabilistic concepts required for an understanding of financial market models, including independence and conditioning. Assuming only some calculus and linear algebra, the text develops key results of measure and integration, which are applied to probability spaces and random variables, culminating in central limit theory. Consequently it provides essential prerequisites to graduate-level study of modern finance and, more generally, to the study of stochastic processes. Results are proved carefully and the key concepts are motivated by concrete examples drawn from financial market models. Students can test their understanding through the large number of exercises and worked examples that are integral to the text.

LC Classification NumberHF5691