Data Science for Economics and Finance: Methodologies and Applications
Saved in:
| Other Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cham
Springer
[2021]
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Open Access |
| Physical Description: | xiv, 355 Seiten |
| ISBN: | 9783030668907 |
Staff View
MARC
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Record in the Search Index
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| adam_text | Contents Data Science Technologies in Economics and Finance: A Gentle Walk-In................................................................. ............................. .................. Luca Barbaglia, Sergio Consoli, Sebastiano Manzan, Diego Reforgiato Recupero, Michaela Saisana, and Luca Tiozzo Pezzoli Supervised Learning for the Prediction of Firm Dynamics........................ Falco J. Bargagli-Stoffi, Jan Niederreiter, and Massimo Riccaboni Opening the Black Box: Machine Learning Interpretability and Inference Tools with an Application to Economic Forecasting.................... Marcus Buckmann, Andreas Joseph, and Helena Robertson Machine Learning for Financial Stability....................................................... Lucia Alessi and Roberto Savona Sharpening the Accuracy of Credit Scoring Models with Machine Learning Algorithms........................................................................................... Massimo Guidolin and Manuela Pedio 1 19 43 65 89 Classifying Counterparty Sector in EMIR Data............................................ Francesca D. Lenoci and Elisa Letizia 117 Massive Data Analytics for Macroeconomic Nowcasting............................. Peng Cheng, Laurent Ferrara, Alice Froidevaux, and Thanh-Long Huynh 145 New Data Sources for Central Banks................................................................ Corinna Ghirelli, Samuel Hurtado, Javier J. Pérez, and Alberto Urtasun Sentiment Analysis of Financial News: Mechanics and Statistics.............. Argimiro Arratia, Gustavo Avalos, Alejandra Cabaña, Ariel Duarte-
López, and Marti Renedo-Mirambell 169 195 Semi-supervised Text Mining for Monitoring the News About the ESG Performance of Companies........................................................................ 217 Samuel Borms, Kris Boudt, Frederick Van Holle, and Joeri Willems xiii
xiv Contents Extraction and Representation of Financial Entities from Text................. 241 Tim Repke and Ralf Krestel Quantifying News Narratives to Predict Movements in Market Risk........ 265 Thomas Dierckx, Jesse Davis, and Wim Schoutens Do the Hype of the Benefits from Using New Data Science Tools Extend to Forecasting Extremely Volatile Assets?.......................................... 287 Steven F. Lehrer, Tian Xie, and Guanxi Yi Network Analysis for Economics and Finance: An application to Firm Ownership................................................................................................... Janina Engel, Michela Nardo, and Michela Ranean 331
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| adam_txt |
Contents Data Science Technologies in Economics and Finance: A Gentle Walk-In. . . Luca Barbaglia, Sergio Consoli, Sebastiano Manzan, Diego Reforgiato Recupero, Michaela Saisana, and Luca Tiozzo Pezzoli Supervised Learning for the Prediction of Firm Dynamics. Falco J. Bargagli-Stoffi, Jan Niederreiter, and Massimo Riccaboni Opening the Black Box: Machine Learning Interpretability and Inference Tools with an Application to Economic Forecasting. Marcus Buckmann, Andreas Joseph, and Helena Robertson Machine Learning for Financial Stability. Lucia Alessi and Roberto Savona Sharpening the Accuracy of Credit Scoring Models with Machine Learning Algorithms. Massimo Guidolin and Manuela Pedio 1 19 43 65 89 Classifying Counterparty Sector in EMIR Data. Francesca D. Lenoci and Elisa Letizia 117 Massive Data Analytics for Macroeconomic Nowcasting. Peng Cheng, Laurent Ferrara, Alice Froidevaux, and Thanh-Long Huynh 145 New Data Sources for Central Banks. Corinna Ghirelli, Samuel Hurtado, Javier J. Pérez, and Alberto Urtasun Sentiment Analysis of Financial News: Mechanics and Statistics. Argimiro Arratia, Gustavo Avalos, Alejandra Cabaña, Ariel Duarte-
López, and Marti Renedo-Mirambell 169 195 Semi-supervised Text Mining for Monitoring the News About the ESG Performance of Companies. 217 Samuel Borms, Kris Boudt, Frederick Van Holle, and Joeri Willems xiii
xiv Contents Extraction and Representation of Financial Entities from Text. 241 Tim Repke and Ralf Krestel Quantifying News Narratives to Predict Movements in Market Risk. 265 Thomas Dierckx, Jesse Davis, and Wim Schoutens Do the Hype of the Benefits from Using New Data Science Tools Extend to Forecasting Extremely Volatile Assets?. 287 Steven F. Lehrer, Tian Xie, and Guanxi Yi Network Analysis for Economics and Finance: An application to Firm Ownership. Janina Engel, Michela Nardo, and Michela Ranean 331 |
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| author2 | Consoli, Sergio ca. 20./21. Jh Reforgiato Recupero, Diego ca. 20./21. Jh Saisana, Michaela |
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| building | Verbundindex |
| bvnumber | BV047361315 |
| classification_rvk | QH 230 |
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| discipline | Informatik Wirtschaftswissenschaften |
| discipline_str_mv | Informatik Wirtschaftswissenschaften |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T17:41:19Z |
| indexdate | 2024-07-10T09:10:00Z |
| institution | BVB |
| isbn | 9783030668907 |
| language | English |
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| physical | xiv, 355 Seiten |
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| spelling | Data Science for Economics and Finance Methodologies and Applications Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana, editors Cham Springer [2021] xiv, 355 Seiten txt rdacontent n rdamedia nc rdacarrier Open Access Big Data (DE-588)4802620-7 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Data Science (DE-588)1140936166 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Anwendungssoftware (DE-588)4120906-0 gnd rswk-swf Data mining Machine learning Management information systems Big data Application software Information storage and retrieval Data Science (DE-588)1140936166 s Data Mining (DE-588)4428654-5 s Big Data (DE-588)4802620-7 s Maschinelles Lernen (DE-588)4193754-5 s Anwendungssoftware (DE-588)4120906-0 s DE-604 Consoli, Sergio ca. 20./21. Jh. (DE-588)1182952267 edt Reforgiato Recupero, Diego ca. 20./21. Jh. (DE-588)118295247X edt Saisana, Michaela edt Erscheint auch als Online-Ausgabe 978-3-030-66891-4 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032763292&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Data Science for Economics and Finance Methodologies and Applications Big Data (DE-588)4802620-7 gnd Data Mining (DE-588)4428654-5 gnd Data Science (DE-588)1140936166 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Anwendungssoftware (DE-588)4120906-0 gnd |
| subject_GND | (DE-588)4802620-7 (DE-588)4428654-5 (DE-588)1140936166 (DE-588)4193754-5 (DE-588)4120906-0 |
| title | Data Science for Economics and Finance Methodologies and Applications |
| title_auth | Data Science for Economics and Finance Methodologies and Applications |
| title_exact_search | Data Science for Economics and Finance Methodologies and Applications |
| title_exact_search_txtP | Data Science for Economics and Finance Methodologies and Applications |
| title_full | Data Science for Economics and Finance Methodologies and Applications Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana, editors |
| title_fullStr | Data Science for Economics and Finance Methodologies and Applications Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana, editors |
| title_full_unstemmed | Data Science for Economics and Finance Methodologies and Applications Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana, editors |
| title_short | Data Science for Economics and Finance |
| title_sort | data science for economics and finance methodologies and applications |
| title_sub | Methodologies and Applications |
| topic | Big Data (DE-588)4802620-7 gnd Data Mining (DE-588)4428654-5 gnd Data Science (DE-588)1140936166 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Anwendungssoftware (DE-588)4120906-0 gnd |
| topic_facet | Big Data Data Mining Data Science Maschinelles Lernen Anwendungssoftware |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032763292&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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