Credit data and scoring

• Verfasst von: Rosenblatt, Eric [VerfasserIn]
• Titel: Credit data and scoring
• Titelzusatz: the first triumph of big data and big algorithms
• Verf.angabe: Eric Rosenblatt
• Verlagsort: London, United Kingdom
• Verlag: Academic Press is an imprint of Elsevier
• Jahr: 2020
• Umfang: 1 online resource (x, 263 pages)
• Illustrationen: illustrations
• Fussnoten: Includes bibliographical references and index
• ISBN: 978-0-12-818816-3
• ISBN: 0-12-818816-2
• ISBN: 0-12-818815-4
• ISBN: 978-0-12-818815-6
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Credit ratings ; Statistical methods
• Sach-SW: Cotes de solvabilité ; Méthodes statistiques
• K10plus-PPN: 1892764601
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4544479509
• Lokale URL Inst.: Zum Volltext

Abstract

Credit Data and Scoring: The First Triumph of Big Data and Big Algorithms illuminates the often-hidden practice of predicting an individual's economic responsibility. Written by a leading practitioner, it examines the international implications of US leadership in credit scoring and what other countries have learned from it in building their own systems. Through its comprehensive contemporary perspective, the book also explores how algorithms and big data are driving the future of credit scoring. By revealing a new big picture and data comparisons, it delivers useful insights into legal, regulatory and data manipulation. Provides insights into credit scoring goals and methods Examines U.S leadership in developing credit data and algorithms and how other countries depart from it Analyzes the growing influence of algorithms in data scoring.