Gespeichert in:
| Beteilige Person: | |
|---|---|
| Weitere beteiligte Personen: | |
| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2016
|
| Links: | https://doi.org/10.1017/CBO9781316584460 |
| 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. |
| Umfang: | 1 Online-Ressource (xvi, 377 Seiten) |
| ISBN: | 9781316584460 |
Internformat
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| 100 | 1 | |a Bennett, Mark J. |d 1959- | |
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| spelling | Bennett, Mark J. 1959- Financial analytics with R building a laptop laboratory for data science Mark J. Bennett, University of Chicago, Dirk L. Hugen, University of Iowa Cambridge Cambridge University Press 2016 1 Online-Ressource (xvi, 377 Seiten) txt c cr 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. Hugen, Dirk L. Erscheint auch als Druck-Ausgabe 9781107150751 |
| spellingShingle | Bennett, Mark J. 1959- Financial analytics with R building a laptop laboratory for data science |
| 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 |
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