Statistics for Finance: Texts in Statistical Science (Chapman & Hall/CRC Texts in Statistical Science)

Statistics for Finance develops students’ professional skills in statistics with applications in finance. Developed from the authors’ courses at the Technical University of Denmark and Lund University, the text bridges the gap between classical, rigorous treatments of financial mathematics that rarely connect concepts to data and books on econometrics and time series analysis that do not cover specific problems related to option valuation.\nThe book discusses applications of financial derivatives pertaining to risk assessment and elimination. The authors cover various statistical and mathematical techniques, including linear and nonlinear time series analysis, stochastic calculus models, stochastic differential equations, Itō’s formula, the Black–Scholes model, the generalized method-of-moments, and the Kalman filter. They explain how these tools are used to price financial derivatives, identify interest rate models, value bonds, estimate parameters, and much more.\nThis textbook will help students understand and manage empirical research in financial engineering. It includes examples of how the statistical tools can be used to improve value-at-risk calculations and other issues. In addition, end-of-chapter exercises develop students’ financial reasoning skills.

Business & Money

Lindström, Erik

Finance

Routledge

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Teen & Young Adult

Arroyo, Erika K.

Education & Reference

Ferguson Pub

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Sports & Outdoors

Statistics for Finance develops students’ professional skills in statistics with applications in finance. Developed from the authors’ courses at the Technical University of Denmark and Lund University, the text bridges the gap between classical, rigorous treatments of financial mathematics that rarely connect concepts to data and books on econometrics and time series analysis that do not cover specific problems related to option valuation. The book discusses applications of financial derivatives pertaining to risk assessment and elimination. The authors cover various statistical and mathematical techniques, including linear and nonlinear time series analysis, stochastic calculus models, stochastic differential equations, Itō’s formula, the Black–Scholes model, the generalized method-of-moments, and the Kalman filter. They explain how these tools are used to price financial derivatives, identify interest rate models, value bonds, estimate parameters, and much more. This textbook will help students understand and manage empirical research in financial engineering. It includes examples of how the statistical tools can be used to improve value-at-risk calculations and other issues. In addition, end-of-chapter exercises develop students’ financial reasoning skills.

Madsen, Henrik

Nielsen, Jan Nygaard

Chapman and Hall/CRC

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Books by Lindström, Erik

See the best price to sell, buy, or rent books by Lindström, Erik. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Statistics for Finance: Texts in Statistical Science (Chapman & Hall/CRC Texts in Statistical Science)

Adventure (Discovering Careers)

Construction (Discovering Careers)

Sports (Discovering Careers)

Statistics for Finance: Texts in Statistical Science (Chapman & Hall/CRC Texts in Statistical Science)