Loading…
Assessing methods of identifying management forecasts: CIG vs. researcher collected
This paper examines the characteristics of management forecasts available on Thomson First Call’s Company Issued Guidance (CIG) database relative to a sample of forecasts hand-collected through a search of company press releases. Due to the significantly lower cost of using CIG (relative to hand-col...
Saved in:
Published in: | Journal of accounting & economics 2013-02, Vol.55 (1), p.23-42 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c434t-72e6c0da1fbd0e5c416d63b623e73ee4d8fc5d98594827846f812376286412ed3 |
---|---|
cites | cdi_FETCH-LOGICAL-c434t-72e6c0da1fbd0e5c416d63b623e73ee4d8fc5d98594827846f812376286412ed3 |
container_end_page | 42 |
container_issue | 1 |
container_start_page | 23 |
container_title | Journal of accounting & economics |
container_volume | 55 |
creator | Chuk, Elizabeth Matsumoto, Dawn Miller, Gregory S. |
description | This paper examines the characteristics of management forecasts available on Thomson First Call’s Company Issued Guidance (CIG) database relative to a sample of forecasts hand-collected through a search of company press releases. Due to the significantly lower cost of using CIG (relative to hand-collecting data), academics have increasingly relied on this database as a source of management forecasts. However, it is important for researchers to consider the properties of this database (such as coverage, accuracy, and breadth) when evaluating whether it is an appropriate data source for their study. Overall, our results suggest systematic differences between forecasts reported on CIG and forecasts gathered from company press releases. We suggest several sample criteria that will remove or mitigate these biases.
► First study to document the systematic underreporting of forecasts in CIG. ► Demonstrates that the underreporting is systematic and biased. ► Provides insights into the potentially serious impact on future research. ► Provides a clear and concise set of recommendations for using CIG. ► Provides robustness tests to be used in all papers that rely on CIG. |
doi_str_mv | 10.1016/j.jacceco.2012.07.001 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1317586495</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0165410112000547</els_id><sourcerecordid>2874778461</sourcerecordid><originalsourceid>FETCH-LOGICAL-c434t-72e6c0da1fbd0e5c416d63b623e73ee4d8fc5d98594827846f812376286412ed3</originalsourceid><addsrcrecordid>eNqFkMFq3DAQhkVpoNtNHqFg6KUXuyNZluReyrKkSSDQQ5OzUKTxrozXSjXeQN4-SjenXHoaGL7_Z-Zj7AuHhgNX38dmdN6jT40ALhrQDQD_wFbc6L7mvYGPbFW4rpYF_8Q-E40AIIWBFfuzIUKiOO-qAy77FKhKQxUDzkscnv-t3ex2eCiLakgZvaOFflTbm6vqiZoqI6HLfo-58mma0C8YztnZ4CbCi7e5Zve_Lu-21_Xt76ub7ea29rKVS60FKg_B8eEhAHZechVU-6BEi7pFlMEMvgu96XpphDZSDYaLVithlOQCQ7tm3069jzn9PSIt9hDJ4zS5GdORLG-57grcdwX9-g4d0zHP5TrLhdYKoNVQqO5E-ZyIMg72MceDy8-Wg31VbUf7ptq-qragbVFdcj9POSzfPkXMlnzE2WOIRdhiQ4r_aXgBzfOIwQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1277600370</pqid></control><display><type>article</type><title>Assessing methods of identifying management forecasts: CIG vs. researcher collected</title><source>International Bibliography of the Social Sciences (IBSS)</source><source>ScienceDirect Journals</source><creator>Chuk, Elizabeth ; Matsumoto, Dawn ; Miller, Gregory S.</creator><creatorcontrib>Chuk, Elizabeth ; Matsumoto, Dawn ; Miller, Gregory S.</creatorcontrib><description>This paper examines the characteristics of management forecasts available on Thomson First Call’s Company Issued Guidance (CIG) database relative to a sample of forecasts hand-collected through a search of company press releases. Due to the significantly lower cost of using CIG (relative to hand-collecting data), academics have increasingly relied on this database as a source of management forecasts. However, it is important for researchers to consider the properties of this database (such as coverage, accuracy, and breadth) when evaluating whether it is an appropriate data source for their study. Overall, our results suggest systematic differences between forecasts reported on CIG and forecasts gathered from company press releases. We suggest several sample criteria that will remove or mitigate these biases.
► First study to document the systematic underreporting of forecasts in CIG. ► Demonstrates that the underreporting is systematic and biased. ► Provides insights into the potentially serious impact on future research. ► Provides a clear and concise set of recommendations for using CIG. ► Provides robustness tests to be used in all papers that rely on CIG.</description><identifier>ISSN: 0165-4101</identifier><identifier>EISSN: 1879-1980</identifier><identifier>DOI: 10.1016/j.jacceco.2012.07.001</identifier><identifier>CODEN: JAECDS</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Accounting disclosure ; CIG ; Data collection ; Economic forecasts ; Evaluation ; Financial performance ; Forecasts ; Management guidance ; Management research ; Press releases ; Public relations ; Researchers ; Studies</subject><ispartof>Journal of accounting & economics, 2013-02, Vol.55 (1), p.23-42</ispartof><rights>2012 Elsevier B.V.</rights><rights>Copyright Elsevier Sequoia S.A. Feb 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c434t-72e6c0da1fbd0e5c416d63b623e73ee4d8fc5d98594827846f812376286412ed3</citedby><cites>FETCH-LOGICAL-c434t-72e6c0da1fbd0e5c416d63b623e73ee4d8fc5d98594827846f812376286412ed3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,33223,33224</link.rule.ids></links><search><creatorcontrib>Chuk, Elizabeth</creatorcontrib><creatorcontrib>Matsumoto, Dawn</creatorcontrib><creatorcontrib>Miller, Gregory S.</creatorcontrib><title>Assessing methods of identifying management forecasts: CIG vs. researcher collected</title><title>Journal of accounting & economics</title><description>This paper examines the characteristics of management forecasts available on Thomson First Call’s Company Issued Guidance (CIG) database relative to a sample of forecasts hand-collected through a search of company press releases. Due to the significantly lower cost of using CIG (relative to hand-collecting data), academics have increasingly relied on this database as a source of management forecasts. However, it is important for researchers to consider the properties of this database (such as coverage, accuracy, and breadth) when evaluating whether it is an appropriate data source for their study. Overall, our results suggest systematic differences between forecasts reported on CIG and forecasts gathered from company press releases. We suggest several sample criteria that will remove or mitigate these biases.
► First study to document the systematic underreporting of forecasts in CIG. ► Demonstrates that the underreporting is systematic and biased. ► Provides insights into the potentially serious impact on future research. ► Provides a clear and concise set of recommendations for using CIG. ► Provides robustness tests to be used in all papers that rely on CIG.</description><subject>Accounting disclosure</subject><subject>CIG</subject><subject>Data collection</subject><subject>Economic forecasts</subject><subject>Evaluation</subject><subject>Financial performance</subject><subject>Forecasts</subject><subject>Management guidance</subject><subject>Management research</subject><subject>Press releases</subject><subject>Public relations</subject><subject>Researchers</subject><subject>Studies</subject><issn>0165-4101</issn><issn>1879-1980</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>8BJ</sourceid><recordid>eNqFkMFq3DAQhkVpoNtNHqFg6KUXuyNZluReyrKkSSDQQ5OzUKTxrozXSjXeQN4-SjenXHoaGL7_Z-Zj7AuHhgNX38dmdN6jT40ALhrQDQD_wFbc6L7mvYGPbFW4rpYF_8Q-E40AIIWBFfuzIUKiOO-qAy77FKhKQxUDzkscnv-t3ex2eCiLakgZvaOFflTbm6vqiZoqI6HLfo-58mma0C8YztnZ4CbCi7e5Zve_Lu-21_Xt76ub7ea29rKVS60FKg_B8eEhAHZechVU-6BEi7pFlMEMvgu96XpphDZSDYaLVithlOQCQ7tm3069jzn9PSIt9hDJ4zS5GdORLG-57grcdwX9-g4d0zHP5TrLhdYKoNVQqO5E-ZyIMg72MceDy8-Wg31VbUf7ptq-qragbVFdcj9POSzfPkXMlnzE2WOIRdhiQ4r_aXgBzfOIwQ</recordid><startdate>20130201</startdate><enddate>20130201</enddate><creator>Chuk, Elizabeth</creator><creator>Matsumoto, Dawn</creator><creator>Miller, Gregory S.</creator><general>Elsevier B.V</general><general>Elsevier Sequoia S.A</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>20130201</creationdate><title>Assessing methods of identifying management forecasts: CIG vs. researcher collected</title><author>Chuk, Elizabeth ; Matsumoto, Dawn ; Miller, Gregory S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-72e6c0da1fbd0e5c416d63b623e73ee4d8fc5d98594827846f812376286412ed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Accounting disclosure</topic><topic>CIG</topic><topic>Data collection</topic><topic>Economic forecasts</topic><topic>Evaluation</topic><topic>Financial performance</topic><topic>Forecasts</topic><topic>Management guidance</topic><topic>Management research</topic><topic>Press releases</topic><topic>Public relations</topic><topic>Researchers</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chuk, Elizabeth</creatorcontrib><creatorcontrib>Matsumoto, Dawn</creatorcontrib><creatorcontrib>Miller, Gregory S.</creatorcontrib><collection>CrossRef</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>Journal of accounting & economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chuk, Elizabeth</au><au>Matsumoto, Dawn</au><au>Miller, Gregory S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing methods of identifying management forecasts: CIG vs. researcher collected</atitle><jtitle>Journal of accounting & economics</jtitle><date>2013-02-01</date><risdate>2013</risdate><volume>55</volume><issue>1</issue><spage>23</spage><epage>42</epage><pages>23-42</pages><issn>0165-4101</issn><eissn>1879-1980</eissn><coden>JAECDS</coden><abstract>This paper examines the characteristics of management forecasts available on Thomson First Call’s Company Issued Guidance (CIG) database relative to a sample of forecasts hand-collected through a search of company press releases. Due to the significantly lower cost of using CIG (relative to hand-collecting data), academics have increasingly relied on this database as a source of management forecasts. However, it is important for researchers to consider the properties of this database (such as coverage, accuracy, and breadth) when evaluating whether it is an appropriate data source for their study. Overall, our results suggest systematic differences between forecasts reported on CIG and forecasts gathered from company press releases. We suggest several sample criteria that will remove or mitigate these biases.
► First study to document the systematic underreporting of forecasts in CIG. ► Demonstrates that the underreporting is systematic and biased. ► Provides insights into the potentially serious impact on future research. ► Provides a clear and concise set of recommendations for using CIG. ► Provides robustness tests to be used in all papers that rely on CIG.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.jacceco.2012.07.001</doi><tpages>20</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0165-4101 |
ispartof | Journal of accounting & economics, 2013-02, Vol.55 (1), p.23-42 |
issn | 0165-4101 1879-1980 |
language | eng |
recordid | cdi_proquest_miscellaneous_1317586495 |
source | International Bibliography of the Social Sciences (IBSS); ScienceDirect Journals |
subjects | Accounting disclosure CIG Data collection Economic forecasts Evaluation Financial performance Forecasts Management guidance Management research Press releases Public relations Researchers Studies |
title | Assessing methods of identifying management forecasts: CIG vs. researcher collected |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T21%3A25%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessing%20methods%20of%20identifying%20management%20forecasts:%20CIG%20vs.%20researcher%20collected&rft.jtitle=Journal%20of%20accounting%20&%20economics&rft.au=Chuk,%20Elizabeth&rft.date=2013-02-01&rft.volume=55&rft.issue=1&rft.spage=23&rft.epage=42&rft.pages=23-42&rft.issn=0165-4101&rft.eissn=1879-1980&rft.coden=JAECDS&rft_id=info:doi/10.1016/j.jacceco.2012.07.001&rft_dat=%3Cproquest_cross%3E2874778461%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c434t-72e6c0da1fbd0e5c416d63b623e73ee4d8fc5d98594827846f812376286412ed3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1277600370&rft_id=info:pmid/&rfr_iscdi=true |