Big data science in finance (Record no. 2933)

MARC details
000 -LEADER
fixed length control field 03124nam a22002657a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220704123352.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119602989
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 332.028557
Item number ALD
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Aldridge, Irene
245 ## - TITLE STATEMENT
Title Big data science in finance
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. John Wiley & Sons, Inc.
Place of publication, distribution, etc. New Jersey
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent viii, 328 p.
365 ## - TRADE PRICE
Price type code USD
Price amount 124.95
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note TABLE OF CONTENTS<br/>Foreword<br/><br/>Why Big Data?<br/><br/>Neural Networks in Finance<br/><br/>Supervised Models<br/><br/>Semi-supervised Learning<br/><br/>Letting the Data Speak with Unsupervised Learning<br/><br/>Big Data Factor Models<br/><br/>Data as a Signal versus Noise<br/><br/>Applications: Big Data in Options Pricing and Stochastic Modeling<br/><br/>Data Clustering<br/><br/>Conclusions
520 ## - SUMMARY, ETC.
Summary, etc. Explains the mathematics, theory, and methods of Big Data as applied to finance and investing<br/><br/>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.<br/><br/>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:<br/><br/>Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples<br/>Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD)<br/>Covers vital topics in the field in a clear, straightforward manner<br/>Compares, contrasts, and discusses Big Data and Small Data<br/>Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides<br/>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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural networks (Computer science)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Finance--Decision making--Data processing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Finance--Mathematical models
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Finance--Data processing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Investments--Data processing
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Avellaneda, Marco
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Finance & Accounting TB675 10-06-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 07/04/2022 Technical Bureau India Pvt. Ltd. 6572.37   332.028557 ALD 002605 07/04/2022 1 9996.00 07/04/2022 Book

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