Derivatives analytics with Python data analysis, models, simulation, calibration and hedging
(eBook)

Book Cover
Average Rating
Published
Chichester, England : Wiley, 2015.
Physical Desc
1 online resource (377 pages) : illustrations, graphs, tables.
Status

More Details

Format
eBook
Language
English
ISBN
9781119037934 (e-book)

Notes

Bibliography
Includes bibliographical references and index.

Description

Loading Description...

Also in this Series

Checking series information...

More Like This

Loading more titles like this title...

Reading Recommendations & More

Reviews from GoodReads

Loading GoodReads Reviews.

Citations

APA Citation, 7th Edition (style guide)

Hilpisch, Y. J. (2015). Derivatives analytics with Python: data analysis, models, simulation, calibration and hedging . Wiley.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Hilpisch, Yves J.. 2015. Derivatives Analytics With Python: Data Analysis, Models, Simulation, Calibration and Hedging. Wiley.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Hilpisch, Yves J.. Derivatives Analytics With Python: Data Analysis, Models, Simulation, Calibration and Hedging Wiley, 2015.

MLA Citation, 9th Edition (style guide)

Hilpisch, Yves J.. Derivatives Analytics With Python: Data Analysis, Models, Simulation, Calibration and Hedging Wiley, 2015.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

Staff View

Grouped Work ID
64c28ebb-f429-c884-9f0a-f4421743f755-eng
Go To Grouped Work

Grouping Information

Grouped Work ID64c28ebb-f429-c884-9f0a-f4421743f755-eng
Full titlederivatives analytics with python data analysis models simulation calibration and hedging
Authorhilpisch yves j
Grouping Categorybook
Last Update2022-06-07 21:23:19PM
Last Indexed2024-05-01 03:55:39AM

Book Cover Information

Image Sourcesyndetics
First LoadedJul 4, 2022
Last UsedMar 14, 2024

Marc Record

First DetectedAug 09, 2021 12:35:36 PM
Last File Modification TimeNov 22, 2021 08:54:29 AM

MARC Record

LEADER02212nam a2200493 i 4500
001EBC1895969
003MiAaPQ
006m    E |      
007cr cnu||||||||
008150713t20152015enka    ob    001 0 eng d
020 |z 9781119037996
020 |a 9781119037934 (e-book)
035 |a (Sirsi) EBC1895969
035 |a (Sirsi) EBC1895969
035 |a (MiAaPQ)EBC1895969
035 |a (Au-PeEL)EBL1895969
035 |a (CaPaEBR)ebr11069571
035 |a (CaONFJC)MIL802216
035 |a (OCoLC)907061131
040 |a MiAaPQ|b eng|c MiAaPQ|d MiAaPQ|e rda|e pn
050 4|a HG6024.A3|b .H557 2015
0820 |a 332.64/5702855133|2 23
1001 |a Hilpisch, Yves J.,|e author.
24510|a Derivatives analytics with Python |h [eBook]:|b data analysis, models, simulation, calibration and hedging /|c Yves Hilpisch.
264 1|a Chichester, England :|b Wiley,|c 2015.
264 4|c ©2015
300 |a 1 online resource (377 pages) :|b illustrations, graphs, tables.
336 |a text|2 rdacontent
337 |a computer|2 rdamedia
338 |a online resource|2 rdacarrier
4901 |a Wiley Finance Series
504 |a Includes bibliographical references and index.
588 |a Description based on print version record.
650 0|a Derivative securities.
650 0|a Hedging (Finance)
650 0|a Python (Computer program language)
655 4|a Electronic books.
77608|i Print version:|a Hilpisch, Yves J.|t Derivatives analytics with Python : data analysis, models, simulation, calibration and hedging.|d Chichester, England : Wiley, c2015 |h xvii, 356 pages |k Wiley finance series.|z 9781119037996 |w 2015010191
7972 |a ProQuest (Firm)
830 0|a Wiley finance series.
85640|u http://ebookcentral.proquest.com/lib/yavapai-ebooks/detail.action?docID=1895969|x Yavapai College|y Yavapai College users click here to access
85640|u http://ebookcentral.proquest.com/lib/prescottcollege-ebooks/detail.action?docID=1895969|x Prescott College|y Prescott College users click here to access
85640|u http://ebookcentral.proquest.com/lib/yln-ebooks/detail.action?docID=1895969|x Yavapai Library Network|y All other users click here to access
945 |a E-Book