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This book offers an accessible yet rigorous introduction to the key areas of mathematics essential for success in quantitative finance. It covers topics such as: mathematical logic Euclidean and other spaces set theory and topology sequences and series probability theory calculus The emphasis is on teaching readers to "think in mathematics" rather than simply apply formulas by rote, fostering deep theoretical understanding alongside practical applications in portfolio theory, investment banking, option pricing, and insurance risk management. Each chapter includes both theoretical foundations and relevant financial applications, accompanied by problem sets. The text also offers supporting materials—solutions manuals for students and instructors—to reinforce learning

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245: $a: Introduction to Quantitative Finance: A Math Tool Kit
245: $b:
082: $a:
100: $a: Robert R. Reitano
650: $a: Finance
250: $a:
440: $v:
250: $b: MIT Press
250: $c: 2010
020: $a: 978-0262013697
300: $a: 747