Big Data Science in Finance

Zusatztext

<p><b>Explains the mathematics, theory, and methods of Big Data as applied to finance and investing</b></p><p>Data science has fundamentally changed Wall Streetapplied mathematics and software code are increasingly driving finance and investment-decision tools.<i>Big Data Science in Finance</i> 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.</p><p>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:</p><ul><li>Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples</li><li>Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD)</li><li>Covers vital topics in the field in a clear, straightforward manner</li><li>Compares, contrasts, and discusses Big Data and Small Data</li><li>Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides</li></ul><p><i>Big Data Science in Finance: Mathematics and Applications</i>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.</p>

Autorenportrait

<p><b>IRENE ALDRIDGE</b> 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.<p>More information at<b>irenealdridge.com</b><p><b>MARCO AVELLANEDA, P<small>H</small>D,</b> 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<i>Quantitative Finance, Risk Magazine,</i> and the<i>International Journal of Theoretical and Applied Finance.</i><p>More information at<b>marco-avellaneda.com</b>

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