Free Download Financial Analytics with R: Building a Laptop Laboratory for Data ScienceBy Mark J. Bennett, Dirk L. Hugen
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Financial Analytics with R: Building a Laptop Laboratory for Data ScienceBy Mark J. Bennett, Dirk L. Hugen
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Are you innately curious about dynamically inter-operating financial markets? Since the crisis of 2008, there is a need for professionals with more understanding about statistics and data analysis, who can discuss the various risk metrics, particularly those involving extreme events. By providing a resource for training students and professionals in basic and sophisticated analytics, this book meets that need. It offers both the intuition and basic vocabulary as a step towards the financial, statistical, and algorithmic knowledge required to resolve the industry problems, and it depicts a systematic way of developing analytical programs for finance in the statistical language R. Build a hands-on laboratory and run many simulations. Explore the analytical fringes of investments and risk management. Bennett and Hugen help profit-seeking investors and data science students sharpen their skills in many areas, including time-series, forecasting, portfolio selection, covariance clustering, prediction, and derivative securities.
- Amazon Sales Rank: #320476 in Books
- Brand: imusti
- Published on: 2016-11-16
- Original language: English
- Dimensions: 9.72" h x .87" w x 6.85" l, .0 pounds
- Binding: Hardcover
- 392 pages
- Cambridge University Press
Review "A very well-written text on financial analytics, focusing on developing statistical models and using simulation to better understand financial data. R is used throughout for examples, allowing the reader to use the text and code to actively engage in the financial market. It is simply the best text on this subject that I have seen. Highly recommended." Joseph M. Hilbe, Arizona State University
About the Author Mark J. Bennett is a senior data scientist with a major investment bank and a lecturer in the University of Chicago's Master's program in analytics. He has held software positions at Argonne National Laboratory, Unisys Corporation, AT&T Bell Laboratories, Northrop Grumman, and XR Trading Securities.Dirk L. Hugen is a graduate student in the Department of Statistics and Actuarial Science at the University of Iowa. He previously worked as a signal processing engineer.
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