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Probability for Finance
Ekkehard Kopp
€ 80.34
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Description for Probability for Finance
hardcover. A rigorous, unfussy introduction to modern probability theory that focuses squarely on applications in finance. Series: Mastering Mathematical Finance. Num Pages: 196 pages, 12 b/w illus. 150 exercises. BIC Classification: KFF; PBT; PBW. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 228 x 152 x 16. Weight in Grams: 420.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2013
Publisher
Cambridge University Press
Condition
New
Series
Mastering Mathematical Finance
Number of Pages
196
Place of Publication
Cambridge, United Kingdom
ISBN
9781107002494
SKU
V9781107002494
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-24
About Ekkehard Kopp
Ekkehard Kopp is Emeritus Professor of Mathematics at the University of Hull, where he taught courses at all levels in analysis, measure and probability, stochastic processes and mathematical finance between 1970 and 2007. His editorial experience includes service as founding member of the Springer Finance series (1998–2008) and the Cambridge University Press AIMS Library Series. He has taught in the ... Read more
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