Midlands State University Library

A re-examination of the empirical performance of the Longstaff and Schwartz two-factor term structure model using real yield data (Record no. 168417)

MARC details
000 -LEADER
fixed length control field 01640nam a22002537a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241127100710.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241127b |||||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0312-8962
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Language of cataloging English
Transcribing agency MSU
Description conventions rda
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HD31 AUS
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Faff, Robert
Relator term author
245 12 - TITLE STATEMENT
Title A re-examination of the empirical performance of the Longstaff and Schwartz two-factor term structure model using real yield data
Statement of responsibility, etc. created by Robert Faff and Sirimon Treepongkaruna
264 1# - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Los Angeles:
Name of producer, publisher, distributor, manufacturer Sage,
Date of production, publication, distribution, manufacture, or copyright notice 2013.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Australian journal of management
Volume/sequential designation Volume 38, number 2
520 3# - SUMMARY, ETC.
Summary, etc. In this study, we apply the Longstaff and Schwartz (1992) two-factor term structure model to real yields across eight countries. As such, we improve on many prior studies that have inappropriately tested this formulation using nominal yield data. We use the generalized method of moments to test the cross-sectional restrictions imposed by the Longstaff and Schwartz model, as well as the Cox–Ingersoll–Ross one-factor model. Further, we compare the forecasting ability from both models. Our findings support the superiority of the two-factor model. We confirm general reliability of prior research in this area, despite the unfortunate reliance on nominal data in such earlier tests.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Longstff-Schwartz two-factor model
Form subdivision Multi-country test
General subdivision Real yield data
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Treepongkaruna, Sirimon
Relator term co-author
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1177/0312896212443691
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library - Special Collections 02/09/2013 Vol. 38, no.2 (pages333-352)   HD31 AUS 27/11/2024 27/11/2024 Journal Article For in house use only