Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Financial analytics with R = buildin...
~
Bennett, Mark J.
Financial analytics with R = building a laptop laboratory for data science /
Record Type:
Language materials, printed : 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 R
building 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:
1197920
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 /
LDR
:01889nam a2200253 a 4500
001
1001233
003
UkCbUP
005
20161027032536.0
006
m d
007
cr nn 008maaau
008
201228s2016 enk o 1 0 eng d
020
$a
9781316584460
$q
(electronic bk.)
020
$a
9781107150751
$q
(paper)
035
$a
CR9781316584460
040
$a
UkCbUP
$b
eng
$c
UkCbUP
041
0
$a
eng
050
4
$a
HG104
$b
.B46 2016
082
0 4
$a
332.0285513
$2
23
090
$a
HG104
$b
.B471 2016
100
1
$a
Bennett, Mark J.
$q
(Mark Joseph).
$3
1294410
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
1197920
650
0
$a
Finance
$x
Databases.
$3
1294412
650
0
$a
R (Computer program language)
$3
679069
700
1
$a
Hugen, Dirk L.
$3
1294411
856
4 0
$u
https://doi.org/10.1017/CBO9781316584460
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login