£110.49

Springer Statistics and Finance: An Introduction Textbook

Name: Springer Statistics and Finance: An Introduction Textbook
Brand: Springer
Price: 110.49 GBP
Availability: InStock

Applied Mathematics

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Description

Master the connection between probability and financial markets with this comprehensive textbook from Springer. Part of the Springer Texts in Statistics series, this book is designed for students who have completed a basic statistics course but are new to the worlds of finance and economics. The text provides a smooth transition from fundamental probability concepts to advanced statistical modeling. You will learn to apply rigorous mathematical methods to real-world financial scenarios, covering essential topics such as regression, ARMA and GARCH models, the bootstrap, and nonparametric regression using splines. Beyond pure statistics, the book explores foundational financial theories including portfolio theory, CAPM, and the Black-Scholes formula. It also looks toward modern developments by introducing the area of behavioral finance. This resource is ideal for learners looking to build a strong quantitative foundation for a career in financial analysis or mathematical economics.

Key Features

Connects statistical theory directly to financial applications for practical learning.

Designed for students with prior statistics knowledge but no prior finance background.

Covers advanced modeling techniques including ARMA, GARCH, and the bootstrap method.

Includes essential financial concepts like portfolio theory and the Black-Scholes formula.

Provides an introduction to the modern field of behavioral finance.

Part of the respected Springer Texts in Statistics academic series.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 0387202706
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 30 March 2004
Listed Since: 22 January 2007

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Springer Statistics and Finance: An Introduction Textbook

Pricier than usual. £3 more than the 30-day average — we'd wait.

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