Credit risk analytics : (Record no. 643697)

MARC details
000 -LEADER
fixed length control field 07629cam a2200733 i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250919140358.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr |||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190918s2016 nju o 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2016-035372
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119278344 (pdf)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119278341 (pdf)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119278283 (epub)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119278287 (epub)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781119143987 (cloth)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119449560
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119449561
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)954720033
Canceled/invalid control number (OCoLC)959329206
-- (OCoLC)959596340
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)ocn954720033
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201911041641
Level of effort used to assign nonsubject heading access points ros
y 09-18-2019
z hafiz
w UKM UBCM Wiley MARC (363 titles).mrc
x 312
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency DLC
Modifying agency OCLCF
-- YDX
-- NST
-- IDEBK
-- EBLCP
-- RECBK
-- Z@L
-- IDB
-- DG1
-- OCLCO
-- OCLCQ
-- MERUC
042 ## - AUTHENTICATION CODE
Authentication code pcc
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HG3751
072 #7 - SUBJECT CATEGORY CODE
Subject category code BUS
Subject category code subdivision 027000
Source bisacsh
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 332.10285/555
Edition information 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Baesens, Bart,
Relator term author.
245 10 - TITLE STATEMENT
Title Credit risk analytics :
Remainder of title measurement techniques, applications, and examples in SAS /
Statement of responsibility, etc. Bart Baesens, Daniel Roesch, Harald Scheule.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Hoboken, New Jersey :
Name of producer, publisher, distributor, manufacturer Wiley,
Date of production, publication, distribution, manufacture, or copyright notice [2016]
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code n
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code nc
Source rdacarrier
490 0# - SERIES STATEMENT
Series statement Wiley & SAS business series
500 ## - GENERAL NOTE
General note Includes index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Title Page; Copyright; Table of Contents; Dedication; Acknowledgments; About the Authors; Chapter 1: Introduction to Credit Risk Analytics; Why This Book Is Timely; The Current Regulatory Regime: Basel Regulations; Introduction to Our Data Sets; Housekeeping; Chapter 2: Introduction to SAS Software; SAS versus Open Source Software; Base SAS; SAS/STAT; Macros in Base SAS; SAS Output Delivery System (ODS); SAS/IML; SAS Studio; SAS Enterprise Miner; Other SAS Solutions for Credit Risk Management; Reference; Chapter 3: Exploratory Data Analysis; Introduction; One-Dimensional Analysis.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Two-Dimensional AnalysisHighlights of Inductive Statistics; Reference; Chapter 4: Data Preprocessing for Credit Risk Modeling; Types of Data Sources; Merging Data Sources; Sampling; Types of Data Elements; Visual Data Exploration and Exploratory Statistical Analysis; Descriptive Statistics; Missing Values; Outlier Detection and Treatment; Standardizing Data; Categorization; Weights of Evidence Coding; Variable Selection; Segmentation; Default Definition; Practice Questions; Notes; References; Chapter 5: Credit Scoring; Basic Concepts; Judgmental versus Statistical Scoring.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Advantages of Statistical Credit ScoringTechniques to Build Scorecards; Credit Scoring for Retail Exposures; Reject Inference; Credit Scoring for Nonretail Exposures; Big Data for Credit Scoring; Overrides; Evaluating Scorecard Performance; Business Applications of Credit Scoring; Limitations; Practice Questions; References; Chapter 6: Probabilities of Default (PD): Discrete-Time Hazard Models; Introduction; Discrete-Time Hazard Models; Which Model Should I Choose?; Fitting and Forecasting; Formation of Rating Classes; Practice Questions; References.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 7: Probabilities of Default: Continuous-Time Hazard ModelsIntroduction; Censoring; Life Tables; Cox Proportional Hazards Models; Accelerated Failure Time Models; Extension: Mixture Cure Modeling; Discrete-Time Hazard versus Continuous-Time Hazard Models; Practice Questions; References; Chapter 8: Low Default Portfolios; Introduction; Basic Concepts; Developing Predictive Models for Skewed Data Sets; Mapping to an External Rating Agency; Confidence Level Based Approach; Other Methods; LGD and EAD for Low Default Portfolios; Practice Questions; References.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 9: Default Correlations and Credit Portfolio RiskIntroduction; Modeling Loss Distributions with Correlated Defaults; Estimating Correlations; Extensions; Practice Questions; References; Chapter 10: Loss Given Default (LGD) and Recovery Rates; Introduction; Marginal LGD Models; PD-LGD Models; Extensions; Practice Questions; References; Chapter 11: Exposure at Default (EAD) and Adverse Selection; Introduction; Regulatory Perspective on EAD; EAD Modeling; Practice Questions; References; Chapter 12: Bayesian Methods for Credit Risk Modeling; Introduction.
520 ## - SUMMARY, ETC.
Summary, etc. The long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided. Coverage includes data analysis and preprocessing, credit scoring; PD and LGD estimation and forecasting, low default portfolios, correlation modeling and estimation, validation, implementation of prudential regulation, stress testing of existing modeling concepts, and more, to provide a one-stop tutorial and reference for credit risk analytics. The companion website offers examples of both real and simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on this real-world intersection of finance, statistics, and analytics. SAS is the preferred software for credit risk modeling due to its functionality and ability to process large amounts of data. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate credit risk management models.-Understand the general concepts of credit risk management -Validate and stress-test existing models -Access working examples based on both real and simulated data -Learn useful code for implementing and validating models in SAS Despite the high demand for in-house models, there is little comprehensive training available; practitioners are left to comb through piece-meal resources, executive training courses, and consultancies to cobble together the information they need. This book ends the search by providing a comprehensive, focused resource backed by expert guidance. Credit Risk Analytics is the reference every risk manager needs to streamline the modeling process.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on print version record and CIP data provided by publisher.
630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE
Uniform title SAS (Computer file)
630 07 - SUBJECT ADDED ENTRY--UNIFORM TITLE
Uniform title SAS (Computer file)
Source of heading or term fast
Authority record control number or standard number (OCoLC)fst01364029
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Credit
General subdivision Management
-- Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Risk management
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Bank loans
General subdivision Data processing.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element BUSINESS & ECONOMICS
General subdivision Finance.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Bank loans
General subdivision Data processing.
Source of heading or term fast
Authority record control number or standard number (OCoLC)fst00826707
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Credit
General subdivision Management
-- Data processing.
Source of heading or term fast
Authority record control number or standard number (OCoLC)fst00882537
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Risk management
General subdivision Data processing.
Source of heading or term fast
Authority record control number or standard number (OCoLC)fst01098170
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Roesch, Daniel,
Dates associated with a name 1968-
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Scheule, Harald,
Relator term author.
773 0# - HOST ITEM ENTRY
Title Wiley e-books
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Baesens, Bart, author.
Title Credit risk analytics
Place, publisher, and date of publication Hoboken, New Jersey : John Wiley & Sons, Inc., [2016]
International Standard Book Number 9781119143987
Record control number (DLC) 2016024803
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1002/9781119449560">https://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1002/9781119449560</a>
Public note Wiley Online Library
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b16758109
b 2022-11-04
c 2019-11-12
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Suppress in OPAC No
914 ## - VTLS Number
VTLS Number vtls003651467
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Library
Operator's initials, OID (RLIN) 2019-05-09
Cataloger's initials, CIN (RLIN) m
Material Type (Sierra) E-Book
Language English
Country
-- 0
-- .b16758109

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