MARC details
000 -LEADER |
fixed length control field |
02161nam a22002777a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
ZW-GwMSU |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20241129062838.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
241128b |||||||| |||| 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 |
Ak, B. Korcan |
Relator term |
author |
245 14 - TITLE STATEMENT |
Title |
The use of financial ratio models to help investors predict and interpret significant corporate events |
Statement of responsibility, etc. |
created by B Korcan Ak, Patricia M Dechow, Yuan Sun and Annika Yu Wang |
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 3. |
520 3# - SUMMARY, ETC. |
Summary, etc. |
A firm in a steady state generates predictable income and investors can generally agree on its valuation. However, when a significant corporate event occurs this creates greater uncertainty and disagreement about firm valuation, and investors could prefer to avoid holding such a stock. We examine research that has developed financial ratio models to: (a) predict significant corporate events; and (b) predict future performance after significant corporate events. The events we analyze include financial distress and bankruptcy, downsizing, raising equity capital, and material earnings misstatements. We find that financial ratio models generally help investors avoid stocks that are likely to have significant corporate events. We also find that, conditional on a significant event occurring, financial ratio models help investors distinguish good firms from bad. However, we find that research design choices often make it difficult to determine model predictive accuracy. We discuss the role of accounting rule changes and their impact over time on the predictive power of models, and provide suggestions for improving models based on our cross-event analysis. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Bankruptcy |
Form subdivision |
Distress |
General subdivision |
Restructuring charges |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Dechow, Patricia M. |
Relator term |
co-author |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Sun, Yuan |
Relator term |
co-author |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Wang, Annika Yu |
Relator term |
co-author |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
https://doi.org/10.1177/0312896213510714 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
Journal Article |