Financial Analytics with R, 9781107150751
Hardcover
Unlock financial insights: R-powered analytics for investments and risk management.

Financial Analytics with R

Building a Laptop Laboratory for Data Science

$217.12

  • Hardcover

    392 pages

  • Release Date

    6 October 2016

Check Delivery Options

Summary

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, …

Book Details

ISBN-13:9781107150751
ISBN-10:1107150752
Author:Mark J. Bennett, Dirk L. Hugen
Publisher:Cambridge University Press
Imprint:Cambridge University Press
Format:Hardcover
Number of Pages:392
Release Date:6 October 2016
Weight:920g
Dimensions:254mm x 180mm x 22mm
What They're Saying

Critics 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‘There’s a new source in town for those who want to learn R and it’s a good, old-fashioned book called Financial Analytics with R: Building a Laptop Laboratory for Data Science … it is a one-stop-shop for everything you need to know to use R for financial analysis. The book meaningfully combines an education on R with relevant problem-solving in financial analysis. [It] is thorough and contextualized with examples from extreme financial events in recent times such as the housing crisis and the Euro crisis. The code samples are relevant - think functions to compute the Sharpe ratio or to implement Bayesian reasoning - and answer many of the questions you might have while trying them out. This is a book that will make you a better practitioner/student/analyst/entrepreneur - whatever your goals may be.’ Carrie Shaw, Quandl‘The book at hand is unusual in addressing beginners, and in treating R as a general number crunching tool. … It is also one of very few books on R really written for non-statistician non-programmers. … R seems a viable programming language for STEM students to learn, and learning a programming language seems a good idea for such students. This book appears to be the best option for accomplishing that.’ Robert W. Hayden, Mathematical Association of America Reviews

About The Author

Mark J. Bennett

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.

Returns

This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.