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Financial analytics with R building a laptop laboratory for data science

By: Contributor(s): Material type: TextTextPublisher: Cambridge, UK Cambridge University Press 2016Copyright date: � 2016Edition: First publishedDescription: xvi, 377 Seiten IllustrationenISBN:
  • 9781107150751
Subject(s): Genre/Form: DDC classification:
  • 332.0285/513 23
  • 332.0285
LOC classification:
  • HG104 .B46 2016
Other classification:
  • QK 620
  • ST 250
  • QP 890
  • ST 601
Online resources: 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.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books Botho University Botswana Open Shelves Personal development, Motivation, Religion, Psycho, and any that is not within the other codes 332.0285 BEN (Browse shelf(Opens below)) Checked out 12/10/2024 BU-LIB27320
Books Books Botho University Lesotho Reference Faculty Business & Accounting 332.0285 BEN (Browse shelf(Opens below)) Available BULES24084115
Books Books Botho University Lesotho Open Shelves Health Information Management 332.0285513 BEN (Browse shelf(Opens below)) 1 Available BK003475

Bibliography: pages 372-375

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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