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Financial analytics with R = buildin...

Bennett, Mark J.

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Financial analytics with R = building a laptop laboratory for data science /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Financial analytics with R/ Mark J. Bennett, Dirk L. Hugen.
Reminder of title:	building a laptop laboratory for data science /
Author:	Bennett, Mark J.
other author:	Hugen, Dirk L.
Published:	Cambridge :Cambridge University Press, : 2016.,
Description:	xvi, 377 p. :digital ;24 cm.
Notes:	Title from publisher's bibliographic system (viewed on 27 Oct 2016).
Subject:	Finance - Mathematical models -
Online resource:	https://doi.org/10.1017/CBO9781316584460
ISBN:	9781316584460

Financial analytics with R = building a laptop laboratory for data science /
Bennett, Mark J.

Financial analytics with Rbuilding a laptop laboratory for data science /[electronic resource] :Mark J. Bennett, Dirk L. Hugen. - Cambridge :Cambridge University Press,2016. - xvi, 377 p. :digital ;24 cm.

Title from publisher's bibliographic system (viewed on 27 Oct 2016).

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.

ISBN: 9781316584460Subjects--Topical Terms:

3229044
Finance
--Mathematical models

LC Class. No.: HG104 / .B46 2016

Dewey Class. No.: 332.0285513

Financial analytics with R = building a laptop laboratory for data science /
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050 4 $a HG104 $b .B46 2016
082 0 4 $a 332.0285513 $2 23
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100 1 $a Bennett, Mark J. $q (Mark Joseph). $3 3440304
245 1 0 $a Financial analytics with R $h [electronic resource] : $b building a laptop laboratory for data science / $c Mark J. Bennett, Dirk L. Hugen.
260 $a Cambridge : $b Cambridge University Press, $c 2016.
300 $a xvi, 377 p. : $b digital ; $c 24 cm.
500 $a Title from publisher's bibliographic system (viewed on 27 Oct 2016).
520 $a 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.
650 0 $a Finance $x Mathematical models $x Data processing. $3 3229044
650 0 $a Finance $x Databases. $3 3440306
650 0 $a R (Computer program language) $3 784593
700 1 $a Hugen, Dirk L. $3 3440305
856 4 0 $u https://doi.org/10.1017/CBO9781316584460