Lasso Regressions and Forecasting Models in Applied Stress Testing (Record no. 163155)

000 -LEADER
fixed length control field 02223nam a22003614a 4500
001 - CONTROL NUMBER
control field WPIEA2017108
003 - CONTROL NUMBER IDENTIFIER
control field IMF
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190405192735.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cn|||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 020129s2017 dcu o i00 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1475599021 :
Terms of availability 18.00 USD
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781475599022
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1018-5941
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.5089/9781475599022.001
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (IMF)WPIEA2017108
040 ## - CATALOGING SOURCE
Original cataloging agency DcWaIMF
Language of cataloging eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Chan-Lau, Jorge A.
245 10 - TITLE STATEMENT
Title Lasso Regressions and Forecasting Models in Applied Stress Testing
Medium [electronic resource] /
Statement of responsibility, etc Jorge A Chan-Lau.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Washington, D.C. :
Name of publisher, distributor, etc International Monetary Fund,
Date of publication, distribution, etc 2017.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (34 p.)
490 1# - SERIES STATEMENT
Series statement IMF Working Papers
520 3# - SUMMARY, ETC.
Summary, etc Model selection and forecasting in stress tests can be facilitated using machine learning techniques. These techniques have proved robust in other fields for dealing with the curse of dimensionality, a situation often encountered in applied stress testing. Lasso regressions, in particular, are well suited for building forecasting models when the number of potential covariates is large, and the number of observations is small or roughly equal to the number of covariates. This paper presents a conceptual overview of lasso regressions, explains how they fit in applied stress tests, describes its advantages over other model selection methods, and illustrates their application by constructing forecasting models of sectoral probabilities of default in an advanced emerging market economy.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on print version record.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Economic Forecasting
Source of heading or term imf
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Emerging Markets
Source of heading or term imf
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Forecasting Models
Source of heading or term imf
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Regression Analysis
Source of heading or term imf
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Stress Testing
Source of heading or term imf
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print Version:
Main entry heading Chan-Lau, Jorge A.
Title Lasso Regressions and Forecasting Models in Applied Stress Testing
Place, publisher, and date of publication Washington, D.C. : International Monetary Fund,2017
International Standard Book Number 9781475599022
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title IMF Working Papers
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://elibrary.imf.org/view/IMF001/24268-9781475599022/24268-9781475599022/24268-9781475599022.xml">http://elibrary.imf.org/view/IMF001/24268-9781475599022/24268-9781475599022/24268-9781475599022.xml</a>
Public note IMF e-Library
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://www.imfbookstore.org/IMFORG/9781475599022">http://www.imfbookstore.org/IMFORG/9781475599022</a>
Public note IMF Book Store

No items available.

Powered by Koha