Financial analytics with R: building a laptop laboratory for data science
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...
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1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge, United Kingdom
Cambridge University Press
2016
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Schlagworte: | |
Online-Zugang: | BSB01 FHN01 UBM01 UER01 Volltext |
Zusammenfassung: | 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 |
Beschreibung: | Title from publisher's bibliographic system (viewed on 27 Oct 2016) |
Beschreibung: | 1 Online-Ressource (xvi, 377 pages) |
ISBN: | 9781316584460 |
DOI: | 10.1017/CBO9781316584460 |
Internformat
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245 | 1 | 0 | |a Financial analytics with R |b building a laptop laboratory for data science |c Mark J. Bennett, University of Chicago ; Dirk L. Hugen, University of Iowa |
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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 | 4 | |a Datenverarbeitung | |
650 | 4 | |a Mathematisches Modell | |
650 | 4 | |a Finance / Mathematical models / Data processing | |
650 | 4 | |a Finance / Databases | |
650 | 4 | |a R (Computer program language) | |
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Datensatz im Suchindex
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any_adam_object | |
author | Bennett, Mark J. 1959- |
author_GND | (DE-588)1116991136 |
author_facet | Bennett, Mark J. 1959- |
author_role | aut |
author_sort | Bennett, Mark J. 1959- |
author_variant | m j b mj mjb |
building | Verbundindex |
bvnumber | BV043940052 |
classification_rvk | QP 890 ST 601 |
collection | ZDB-20-CBO |
ctrlnum | (ZDB-20-CBO)CR9781316584460 (OCoLC)967599359 (DE-599)BVBBV043940052 |
dewey-full | 332.0285/513 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 332 - Financial economics |
dewey-raw | 332.0285/513 |
dewey-search | 332.0285/513 |
dewey-sort | 3332.0285 3513 |
dewey-tens | 330 - Economics |
discipline | Informatik Wirtschaftswissenschaften |
doi_str_mv | 10.1017/CBO9781316584460 |
format | Electronic eBook |
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id | DE-604.BV043940052 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T07:39:12Z |
institution | BVB |
isbn | 9781316584460 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029349023 |
oclc_num | 967599359 |
open_access_boolean | |
owner | DE-12 DE-29 DE-92 DE-19 DE-BY-UBM |
owner_facet | DE-12 DE-29 DE-92 DE-19 DE-BY-UBM |
physical | 1 Online-Ressource (xvi, 377 pages) |
psigel | ZDB-20-CBO ZDB-20-CBO BSB_PDA_CBO ZDB-20-CBO FHN_PDA_CBO ZDB-20-CBO UBM_PDA_CBO_Kauf ZDB-20-CBO UER_PDA_CBO_Kauf |
publishDate | 2016 |
publishDateSearch | 2016 |
publishDateSort | 2016 |
publisher | Cambridge University Press |
record_format | marc |
spelling | Bennett, Mark J. 1959- Verfasser (DE-588)1116991136 aut Financial analytics with R building a laptop laboratory for data science Mark J. Bennett, University of Chicago ; Dirk L. Hugen, University of Iowa Cambridge, United Kingdom Cambridge University Press 2016 1 Online-Ressource (xvi, 377 pages) txt rdacontent c rdamedia cr rdacarrier 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 Datenverarbeitung Mathematisches Modell Finance / Mathematical models / Data processing Finance / Databases R (Computer program language) Kreditmarkt (DE-588)4073788-3 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf R Programm (DE-588)4705956-4 s Kreditmarkt (DE-588)4073788-3 s Datenanalyse (DE-588)4123037-1 s DE-604 Hugen, Dirk L. Sonstige oth Erscheint auch als Druck-Ausgabe, Hardcover 978-1-107-15075-1 https://doi.org/10.1017/CBO9781316584460 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Bennett, Mark J. 1959- Financial analytics with R building a laptop laboratory for data science Datenverarbeitung Mathematisches Modell Finance / Mathematical models / Data processing Finance / Databases R (Computer program language) Kreditmarkt (DE-588)4073788-3 gnd Datenanalyse (DE-588)4123037-1 gnd R Programm (DE-588)4705956-4 gnd |
subject_GND | (DE-588)4073788-3 (DE-588)4123037-1 (DE-588)4705956-4 |
title | Financial analytics with R building a laptop laboratory for data science |
title_auth | Financial analytics with R building a laptop laboratory for data science |
title_exact_search | Financial analytics with R building a laptop laboratory for data science |
title_full | Financial analytics with R building a laptop laboratory for data science Mark J. Bennett, University of Chicago ; Dirk L. Hugen, University of Iowa |
title_fullStr | Financial analytics with R building a laptop laboratory for data science Mark J. Bennett, University of Chicago ; Dirk L. Hugen, University of Iowa |
title_full_unstemmed | Financial analytics with R building a laptop laboratory for data science Mark J. Bennett, University of Chicago ; Dirk L. Hugen, University of Iowa |
title_short | Financial analytics with R |
title_sort | financial analytics with r building a laptop laboratory for data science |
title_sub | building a laptop laboratory for data science |
topic | Datenverarbeitung Mathematisches Modell Finance / Mathematical models / Data processing Finance / Databases R (Computer program language) Kreditmarkt (DE-588)4073788-3 gnd Datenanalyse (DE-588)4123037-1 gnd R Programm (DE-588)4705956-4 gnd |
topic_facet | Datenverarbeitung Mathematisches Modell Finance / Mathematical models / Data processing Finance / Databases R (Computer program language) Kreditmarkt Datenanalyse R Programm |
url | https://doi.org/10.1017/CBO9781316584460 |
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