Financial Analytics with R

    By

    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.

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    Number of Pages: 392
    Format(s): Hardback - ISBN: 9781107150751
    Publication Date:
    Listed in: Economic statistics, Finance
    Publisher: CAMBRIDGE UNIVERSITY PRESS

    Books by Mark Bennett

    Hardback

    RRP: £44.99

    Sale Price: £40.48

    Save: £4.51 per copy!

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