Big data science in finance / Irene Aldridge, Marco Avellaneda

By: Contributor(s): Material type: TextTextLanguage: English Publication details: John Wiley & Sons, Inc., 2021Description: 328 p. ; 24 cmSubject(s): Theme: Callnumber:
  • 332.6 Ir29A
Abstract: 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.
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Item type Current library Call number Copy number Status Date due Barcode
Sách ngoại văn Thư viện Uneti - Địa điểm Lĩnh Nam P. Đọc mở Lĩnh Nam 332.6 Ir29A (Browse shelf(Opens below)) 1 Available 000033637

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.

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