Credit Scoring, Response Modelling and Insurance Rating

Credit Scoring, Response Modelling and Insurance Rating PDF Author: S. Finlay
Publisher: Springer
ISBN: 0230298982
Category : Business & Economics
Languages : en
Pages : 295

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Book Description
Every year, financial services organizations make billions of dollars worth of decisions using automated systems. For example, who to give a credit card to and the premium someone should pay for their home insurance. This book explains how the forecasting models, that lie at the heart of these systems, are developed and deployed.

Credit Scoring, Response Modelling and Insurance Rating

Credit Scoring, Response Modelling and Insurance Rating PDF Author: S. Finlay
Publisher: Springer
ISBN: 0230298982
Category : Business & Economics
Languages : en
Pages : 295

Get Book Here

Book Description
Every year, financial services organizations make billions of dollars worth of decisions using automated systems. For example, who to give a credit card to and the premium someone should pay for their home insurance. This book explains how the forecasting models, that lie at the heart of these systems, are developed and deployed.

Credit Scoring, Response Modeling, and Insurance Rating

Credit Scoring, Response Modeling, and Insurance Rating PDF Author: S. Finlay
Publisher: Springer
ISBN: 1137031697
Category : Business & Economics
Languages : en
Pages : 315

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Book Description
A guide on how Predictive Analytics is applied and widely used by organizations such as banks, insurance providers, supermarkets and governments to drive the decisions they make about their customers, demonstrating who to target with a promotional offer, who to give a credit card to and the premium someone should pay for home insurance.

Credit Scoring, Response Modeling, and Insurance Rating

Credit Scoring, Response Modeling, and Insurance Rating PDF Author: S. Finlay
Publisher: Springer
ISBN: 1137031697
Category : Business & Economics
Languages : en
Pages : 183

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Book Description
A guide on how Predictive Analytics is applied and widely used by organizations such as banks, insurance providers, supermarkets and governments to drive the decisions they make about their customers, demonstrating who to target with a promotional offer, who to give a credit card to and the premium someone should pay for home insurance.

Generalized Linear Models for Insurance Rating

Generalized Linear Models for Insurance Rating PDF Author: Mark Goldburd
Publisher:
ISBN: 9780996889728
Category :
Languages : en
Pages : 106

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Book Description


Credit Intelligence & Modelling

Credit Intelligence & Modelling PDF Author: Raymond A. Anderson
Publisher: Oxford University Press
ISBN: 0192844199
Category : Business & Economics
Languages : en
Pages : 934

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Book Description
Over eight modules, the book covers consumer and business lending in both the developed and developing worlds, providing the frameworks for both theory and practice.

Encyclopedia of Data Science and Machine Learning

Encyclopedia of Data Science and Machine Learning PDF Author: Wang, John
Publisher: IGI Global
ISBN: 1799892212
Category : Computers
Languages : en
Pages : 3296

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Book Description
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.

Credit Risk Scorecards

Credit Risk Scorecards PDF Author: Naeem Siddiqi
Publisher: John Wiley & Sons
ISBN: 1118429168
Category : Business & Economics
Languages : en
Pages : 124

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Book Description
Praise for Credit Risk Scorecards "Scorecard development is important to retail financial services in terms of credit risk management, Basel II compliance, and marketing of credit products. Credit Risk Scorecards provides insight into professional practices in different stages of credit scorecard development, such as model building, validation, and implementation. The book should be compulsory reading for modern credit risk managers." —Michael C. S. Wong Associate Professor of Finance, City University of Hong Kong Hong Kong Regional Director, Global Association of Risk Professionals "Siddiqi offers a practical, step-by-step guide for developing and implementing successful credit scorecards. He relays the key steps in an ordered and simple-to-follow fashion. A 'must read' for anyone managing the development of a scorecard." —Jonathan G. Baum Chief Risk Officer, GE Consumer Finance, Europe "A comprehensive guide, not only for scorecard specialists but for all consumer credit professionals. The book provides the A-to-Z of scorecard development, implementation, and monitoring processes. This is an important read for all consumer-lending practitioners." —Satinder Ahluwalia Vice President and Head-Retail Credit, Mashreqbank, UAE "This practical text provides a strong foundation in the technical issues involved in building credit scoring models. This book will become required reading for all those working in this area." —J. Michael Hardin, PhD Professor of StatisticsDepartment of Information Systems, Statistics, and Management ScienceDirector, Institute of Business Intelligence "Mr. Siddiqi has captured the true essence of the credit risk practitioner's primary tool, the predictive scorecard. He has combined both art and science in demonstrating the critical advantages that scorecards achieve when employed in marketing, acquisition, account management, and recoveries. This text should be part of every risk manager's library." —Stephen D. Morris Director, Credit Risk, ING Bank of Canada

Enterprise Applications, Markets and Services in the Finance Industry

Enterprise Applications, Markets and Services in the Finance Industry PDF Author: Jos van Hillegersberg
Publisher: Springer Nature
ISBN: 3031316711
Category : Computers
Languages : en
Pages : 146

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Book Description
This book constitutes revised selected papers from the 11th International Workshop on Enterprise Applications, Markets and Services in the Finance Industry, FinanceCom 2022, held in Twente, The Netherlands, in August 2022. The 8 full papers presented in this volume were carefully reviewed and selected from a total of 25 submissions. They deal with the adoption of innovative technologies in the financial services industry. The conference features four main themes: networks and business models, financial markets, IT and implementations, and new emerging digital and virtual financial markets.

Oversight of the Property and Casualty Insurance Industry

Oversight of the Property and Casualty Insurance Industry PDF Author: United States. Congress. Senate. Committee on Commerce, Science, and Transportation
Publisher:
ISBN:
Category : Casualty insurance
Languages : en
Pages : 108

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Book Description


A Survey of Credit and Behavioural Scoring

A Survey of Credit and Behavioural Scoring PDF Author: L. C. Thomas
Publisher:
ISBN: 9781902850429
Category : Credit scoring systems
Languages : en
Pages : 22

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Book Description