Download Financial Analytics with R: Building a Laptop Laboratory for Data Science, by Mark J. Bennett, Dirk L. Hugen
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Financial Analytics with R: Building a Laptop Laboratory for Data Science, by 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.
- Sales Rank: #333289 in Books
- 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
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.
Most helpful customer reviews
3 of 3 people found the following review helpful.
Comprehensive, concise, well written, and useful. Wish computing books are of this quality.
By Amazon Customer
Well-written, well-structured, and meticulously edited book. This is one of those rare books you don't mind paying premium for (though relatively more expensive) and keeping in your library. It's essentially a primer on quantitative finance and trading with practical applications and codes. Good balance and explanation of theoretical and practical content.
2 of 2 people found the following review helpful.
A well-written book with tons of useful R code
By mobrown
I'm extremely pleased with this book! A great deal of R code is presented for statistical models relevant to trading and portfolio management and everything is well organized. The explanations are easy to follow and many visualizations are included with the examples. I rarely write reviews, but was inspired to do so on this occasion since this is one of the most useful books I've bought in a while.
2 of 2 people found the following review helpful.
Highly recommend this book for those who want to know how ...
By George D Jayaratnam
Highly recommend this book for those who want to know how to implement theoretical models found in academic literature with actual real world data. The R code examples are specific and with good explanations. And the book covers a wide spectrum of models from time-series analysis to Bayesian probabilities and simulation modelling.
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