Midlands State University Library

Predicting the directional change in consumer sentiment/ (Record no. 168420)

MARC details
000 -LEADER
fixed length control field 01941nam a22002657a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241127112542.0
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 03128962
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 Yao, Juan
Relator term author
245 10 - TITLE STATEMENT
Title Predicting the directional change in consumer sentiment/
Statement of responsibility, etc. created by Juan Yao, Graham Partington and Max Stevenson
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 1
520 3# - SUMMARY, ETC.
Summary, etc. The Consumer Sentiment Index (CSI) is a widely monitored economic indicator. The index measures consumer expectations, which contain information about potential future changes in consumer spending. Thus, any change in the dynamics of the sentiment index should contain important signals about future consumer behaviour, as well as changes in the real economy and stock returns. In this paper we use Cox’s proportional hazards model to estimate dynamic transition probabilities for a reversal in the CSI. We predict the probability of both positive and negative runs in sentiment surviving in the same state. Lagged changes in consumer sentiment and the frequency of recent reversals of sentiment are found to be significant predictors of a change in state. The model has substantial predictive ability, as measured by both categorical accuracy and a probability scoring rule, the Brier Score (Brier, 1950) out of sample. The predictive accuracy of the model is robust to the impact of the global financial crisis.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Consumer confidence index
Form subdivision Private consumption
General subdivision Forecasting model
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Partington, Graham H.
Relator term co author
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Stevenson, Maxwell John
Relator term co author
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1177/0312896211434573
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 21/03/2013 Vol. 38, no.1 (pages 67-80)   HD31 AUS 27/11/2024 27/11/2024 Journal Article For in house use only