- Blurb -
Explains the mathematics, theory, and methods of Big Data as applied to finance and investingData 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 samplesExplains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD)Covers vital topics in the field in a clear, straightforward mannerCompares, contrasts, and discusses Big Data and Small DataIncludes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slidesBig 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.
- Author Bio -
IRENE ALDRIDGE is President and Managing Director, Research of AbleMarkets, a company that provides Big Data services to capital markets. She is also a visiting professor at Cornell University. More information at irenealdridge. comMARCO AVELLANEDA, PHD, is associated with Finance Concepts, a consulting firm he founded in 2003 and is a faculty member at New York University-Courant. He is regularly published in scientific journals like Quantitative Finance, Risk Magazine, and the International Journal of Theoretical and Applied Finance. More information at marco-avellaneda. com
- Full Details -
Status: | Active |
ISBN-13: | 9781119602989 |
Published: | 23 Mar 2021 |
Published In: | United States |
Imprint: | John Wiley & Sons |
Publisher: | John Wiley & Sons |
Format: | Hardback |
Height: | 259mm |
Width: | 185mm |
Spine: | 25mm |
Weight: | 861g |
Pages: | 336 |
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