£81.91

Springer Statistics and Data Analysis for Financial Engineering

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£82 today · all-time low £81 (May 2026) · usually £84

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Last 91 days · 91 data points

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£90.52 £79.53 £81.93 £84.33 £86.72 £89.12 £91.52 22 April 2026 14 May 2026 06 June 2026 28 June 2026 21 July 2026

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39 days · current 10 days 16 days 20 days 6 days 0 10 20 29 39 £81-83 £83-85 £85-87 £87-89 £89-91 Days at Price

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Most common range: £81-83 (39 days, 42.9%)

Price range: £81 - £91

Price levels: 5 price ranges over 91 days

Description

Master the essential statistical methods required for modern financial engineering with this comprehensive textbook from Springer. Designed for graduate and advanced undergraduate students, this updated edition provides the foundational knowledge needed to navigate today's complex financial landscapes. By utilizing real-world financial markets and economic data, the text helps students bridge the gap between theory and practice. You will learn to work with the massive quantities of quantitative information available today, focusing on critical areas like volatility and risk. The book includes R Labs featuring real-data exercises, allowing you to apply analytical and graphical methods to model data and diagnose modeling errors effectively. This resource is an essential tool for anyone looking to build professional skills in quantitative finance and data-driven economic analysis.

Key Features

Designed for graduate and advanced undergraduate students seeking deep knowledge in financial engineering statistics.

Includes R Labs with real-data exercises to provide practical experience with quantitative information.

Uses real financial markets and economic data to illustrate complex statistical concepts.

Provides graphical and analytic methods for modeling and diagnosing errors in financial models.

Helps students manage and utilize the enormous quantities of data available in modern finance.

Focuses on powerful methods for working with quantitative information, including volatility and risk.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
22 April 2015
Listed Since
11 February 2015

Barcode

No barcode data available

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