Probability for finance /
By: Kopp, P. E
Title By: Malczak, Jan | Zastawniak, Tomasz
Material type: BookSeries: Mastering mathematical finance.Publisher: Cambridge : Cambridge University Press, 2014.Description: viii, 188 p. : ill ; 24 cm.ISBN: 9781107002494; 1107002494 (hbk.); 9780521175579 (pbk.); 0521175577 (pbk.)Subject(s): Business mathematics | ProbabilitiesDDC classification: 332.01519 Online resources: Location MapItem type | Home library | Call number | Status | Date due | Barcode | Item holds |
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REGULAR | University of Wollongong in Dubai Main Collection | 332.01519 KO PR (Browse shelf) | Available | T0012548 |
, Shelving location: Main Collection Close shelf browser
332.0151 GU MA Mathematics of interest rates and finance / | 332.0151 JE MA Mathematical methods for financial markets / | 332.015118 BE FI Financial modeling | 332.01519 KO PR Probability for finance / | 332.015192 CH AP Applied probabilistic calculus for financial engineering : | 332.015195 BR IN Introductory econometrics for finance | 332.015195 BR IN Introductory econometrics for finance |
Includes index.
A rigorous, unfussy introduction to modern probability theory that focuses squarely on applications in finance.
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.