Financial analytics with R: building a laptop laboratory for data science

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...

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Bibliographic Details
Main Author: Bennett, Mark J. 1959- (Author)
Format: Electronic eBook
Language:English
Published: Cambridge, United Kingdom Cambridge University Press 2016
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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, 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
Item Description:Title from publisher's bibliographic system (viewed on 27 Oct 2016)
Physical Description:1 Online-Ressource (xvi, 377 pages)
ISBN:9781316584460
DOI:10.1017/CBO9781316584460

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