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Big Data Science in Finance (Hardcover) Loot Price: R2,036
Discovery Miles 20 360
Big Data Science in Finance (Hardcover): I Aldridge

Big Data Science in Finance (Hardcover)

I Aldridge

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Loot Price R2,036 Discovery Miles 20 360 | Repayment Terms: R191 pm x 12*

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Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed Wall Street--applied mathematics and software code are increasingly driving finance and investment-decision tools. Big Data Science in Finance examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Comprehensive in scope, this book offers in-depth instruction on how to separate signal from noise, how to deal with missing data values, and how to utilize Big Data techniques in decision-making. Key topics include data clustering, data storage optimization, Big Data dynamics, Monte Carlo methods and their applications in Big Data analysis, and more. This valuable book: Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides Big Data Science in Finance: Mathematics and Applications is an important, up-to-date resource for students in economics, econometrics, finance, applied mathematics, industrial engineering, and business courses, and for investment managers, quantitative traders, risk and portfolio managers, and other financial practitioners.

General

Imprint: John Wiley & Sons
Country of origin: United States
Release date: April 2021
First published: 2021
Authors: I Aldridge
Dimensions: 263 x 179 x 22mm (L x W x T)
Format: Hardcover
Pages: 336
ISBN-13: 978-1-119-60298-9
Categories: Books > Business & Economics > Finance & accounting > General
LSN: 1-119-60298-X
Barcode: 9781119602989

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