Financial Institution Advantage and the Optimization of Information Processing

A PROVEN APPROACH FOR CREATING and IMPLEMENTING EFFECTIVE GOVERNANCE for DATA and ANALYTICS Financial Institution Advantage and the Optimization of Information Processing offers a key resource for understanding and implementing effective data governance practices and data modeling within financial organizations. Sean Keenan-a noted expert on the topic-outlines the strategic core competencies, includes best practices, and suggests a set of mechanisms for self-evaluation. He shows what it takes for an institution to evaluate its information processing capability and how to take the practical s

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Year of publication:	2015
Authors:	Keenan, Sean C.
Publisher:	Hoboken : Wiley
Subject:	Informationsverhalten \| Information behaviour \| Informationseffizienz \| Informational efficiency \| Informationsmanagement \| Information management \| Kapitalmarktrendite \| Capital market returns \| Risiko \| Risk \| Prognoseverfahren \| Forecasting model \| Finanzsektor \| Financial sector \| USA \| United States

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Extent:	1 Online-Ressource (227 Seiten)
Series:	Wiley and SAS Business Series Wiley and SAS Business Ser.
Type of publication:	Book / Working Paper
Language:	English
Notes:	Description based upon print version of record Cover; Title Page; Copyright; Contents; Introduction; Acknowledgments; Chapter 1 Financial Institutions as Information Processors; Financial Institutions' Raison d'Etre; Low Barriers to Entry; Technical Core Products and Services Offered (Financial Intermediation and Disintermediation and Risk Pooling); Cultural Issues; The Senior Leadership Component; Outsourcing and the Culture of Failure; IT Literacy and the Spreadsheet Deluge; Other Challenges to Establishing an IT-Savvy Culture; Notes; Chapter 2 Strategic Hardware and Software Management; Overview; Storage and Retrieval; Data Processing Analytics and ReportingStrategic Resource Management; An Integrated Data Architecture; The Data Hub Approach; Organizing System Components; Information Processing Efficiency as an Institutional Objective; System Design Considerations; The Human Capital Component; A Digression on Unstructured Data; Notes; Chapter 3 Data, Models, and Information; Model Risk Mania; Model-Based Financial Products Boom; The Model Governance Industry Wakes Up; Definitions and Epistemology; Data Quality; Models and Their Role; A Classic Example: Probability of Default Models; Other Examples Models and the Value of Information CreationRegulatory Regimes and Guidance; SR 11-7; Basel II and Solvency II; Comprehensive Capital Analysis and Review (CCAR); The Sarbanes-Oxley Act (SOX); Principles-Based Reserving (PBR) for Insurance Products; Notes; Chapter 4 Model Risk Measurement; Three Phases of Model Management; Model Governance; Defining Model Risk; Objectifying the Downside; Risk Identification; Model Risk Exposure; Model Risk Attribution: An Information Entropy Approach; Notes; Chapter 5 The Return on Analytic Assets; Measuring the Productivity of Models Complementarity of Data Inflow with Information ProcessingA Digression on Price Taking; Notes; Chapter 6 Data Risk Measurement; Strategic Data Acquisition; The Information Conversion Rate; Other Approaches for Data Risk Assessment; Notes; Chapter 7 A Higher Level of Integration; Alternate Views of Integration; Identifying Key Information Cycles; An Integrated Physical View; Multidimensional Information Asset Management; Chapter 8 A Strategy for Optimizing the Information Processing Complex; Evaluation; A Path toward Improvement; Model Governance; Data Acquisition Managing Overlapping VintagesNotes; Chapter 9 Case Studies; The Pricing of Automobile Insurance; Moody's KMV; The London Whale; The Mortgage-Backed Securities Disaster; The Value of Annuities; Notes; Chapter 10 Conclusions; References; About the Author; Index; EULA
ISBN:	978-1-119-04417-8 ; 978-1-119-05304-0 ; 978-1-119-04417-8
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10011839022