Loading…

Predictive ability of Value Line financial analysts' forecasts

Forecasting net income of firms has become a significant part of the services provided by most financial analysts. The predictive ability of financial analysts' forecasts obtained from Value Line Reports for 6 different industries over a 5-year period is investigated. The results from the analy...

Full description

Saved in:
Bibliographic Details
Published in:American business review 1994-01, Vol.12 (1), p.37
Main Authors: Yallapragada, RamMohan R, Rao, Spuma, Andrews, Donald R
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page
container_issue 1
container_start_page 37
container_title American business review
container_volume 12
creator Yallapragada, RamMohan R
Rao, Spuma
Andrews, Donald R
description Forecasting net income of firms has become a significant part of the services provided by most financial analysts. The predictive ability of financial analysts' forecasts obtained from Value Line Reports for 6 different industries over a 5-year period is investigated. The results from the analysis indicated that, for the sample firms, there was no significant difference between the financial analysts' forecasted annual income and the actual annual income. Significant differences were found in the relative predictive ability of Value Line analysts in the cases of the petroleum and communications industries. When actual earnings per share are included in the model, their relationship with the stock prices is shown to be significant at the alpha equals 0.01 level. However, when actual earnings per share, predicted earnings per share, and lagged earnings per share are included in the model, the relationship of actual earnings per share with the stock prices is not significant.
format article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_216285596</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>8949470</sourcerecordid><originalsourceid>FETCH-proquest_journals_2162855963</originalsourceid><addsrcrecordid>eNpjYeA0MDcx1jUyNrHgYOAqLs4yMDCwNDIw52SwCyhKTclMLsksS1VITMrMySypVMhPUwhLzClNVfDJzEtVSMvMS8xLzkzMUUjMS8ypLC4pVldIyy9KTU4EMnkYWNMSc4pTeaE0N4OSm2uIs4duQVF-YWlqcUl8Vn5pEVBfcbyRoZmRhamppZkxUYoA4fM3Xg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>216285596</pqid></control><display><type>article</type><title>Predictive ability of Value Line financial analysts' forecasts</title><source>BSC - Ebsco (Business Source Ultimate)</source><creator>Yallapragada, RamMohan R ; Rao, Spuma ; Andrews, Donald R</creator><creatorcontrib>Yallapragada, RamMohan R ; Rao, Spuma ; Andrews, Donald R</creatorcontrib><description>Forecasting net income of firms has become a significant part of the services provided by most financial analysts. The predictive ability of financial analysts' forecasts obtained from Value Line Reports for 6 different industries over a 5-year period is investigated. The results from the analysis indicated that, for the sample firms, there was no significant difference between the financial analysts' forecasted annual income and the actual annual income. Significant differences were found in the relative predictive ability of Value Line analysts in the cases of the petroleum and communications industries. When actual earnings per share are included in the model, their relationship with the stock prices is shown to be significant at the alpha equals 0.01 level. However, when actual earnings per share, predicted earnings per share, and lagged earnings per share are included in the model, the relationship of actual earnings per share with the stock prices is not significant.</description><identifier>ISSN: 0743-2348</identifier><language>eng</language><publisher>West Haven: University of New Haven</publisher><subject>Accuracy ; Earnings forecasting ; Earnings per share ; Economic models ; Financial analysis ; Stock prices ; Studies</subject><ispartof>American business review, 1994-01, Vol.12 (1), p.37</ispartof><rights>Copyright University of New Haven Jan 1994</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Yallapragada, RamMohan R</creatorcontrib><creatorcontrib>Rao, Spuma</creatorcontrib><creatorcontrib>Andrews, Donald R</creatorcontrib><title>Predictive ability of Value Line financial analysts' forecasts</title><title>American business review</title><description>Forecasting net income of firms has become a significant part of the services provided by most financial analysts. The predictive ability of financial analysts' forecasts obtained from Value Line Reports for 6 different industries over a 5-year period is investigated. The results from the analysis indicated that, for the sample firms, there was no significant difference between the financial analysts' forecasted annual income and the actual annual income. Significant differences were found in the relative predictive ability of Value Line analysts in the cases of the petroleum and communications industries. When actual earnings per share are included in the model, their relationship with the stock prices is shown to be significant at the alpha equals 0.01 level. However, when actual earnings per share, predicted earnings per share, and lagged earnings per share are included in the model, the relationship of actual earnings per share with the stock prices is not significant.</description><subject>Accuracy</subject><subject>Earnings forecasting</subject><subject>Earnings per share</subject><subject>Economic models</subject><subject>Financial analysis</subject><subject>Stock prices</subject><subject>Studies</subject><issn>0743-2348</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1994</creationdate><recordtype>article</recordtype><sourceid/><recordid>eNpjYeA0MDcx1jUyNrHgYOAqLs4yMDCwNDIw52SwCyhKTclMLsksS1VITMrMySypVMhPUwhLzClNVfDJzEtVSMvMS8xLzkzMUUjMS8ypLC4pVldIyy9KTU4EMnkYWNMSc4pTeaE0N4OSm2uIs4duQVF-YWlqcUl8Vn5pEVBfcbyRoZmRhamppZkxUYoA4fM3Xg</recordid><startdate>19940101</startdate><enddate>19940101</enddate><creator>Yallapragada, RamMohan R</creator><creator>Rao, Spuma</creator><creator>Andrews, Donald R</creator><general>University of New Haven</general><scope/></search><sort><creationdate>19940101</creationdate><title>Predictive ability of Value Line financial analysts' forecasts</title><author>Yallapragada, RamMohan R ; Rao, Spuma ; Andrews, Donald R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_2162855963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Accuracy</topic><topic>Earnings forecasting</topic><topic>Earnings per share</topic><topic>Economic models</topic><topic>Financial analysis</topic><topic>Stock prices</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yallapragada, RamMohan R</creatorcontrib><creatorcontrib>Rao, Spuma</creatorcontrib><creatorcontrib>Andrews, Donald R</creatorcontrib><jtitle>American business review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yallapragada, RamMohan R</au><au>Rao, Spuma</au><au>Andrews, Donald R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictive ability of Value Line financial analysts' forecasts</atitle><jtitle>American business review</jtitle><date>1994-01-01</date><risdate>1994</risdate><volume>12</volume><issue>1</issue><spage>37</spage><pages>37-</pages><issn>0743-2348</issn><abstract>Forecasting net income of firms has become a significant part of the services provided by most financial analysts. The predictive ability of financial analysts' forecasts obtained from Value Line Reports for 6 different industries over a 5-year period is investigated. The results from the analysis indicated that, for the sample firms, there was no significant difference between the financial analysts' forecasted annual income and the actual annual income. Significant differences were found in the relative predictive ability of Value Line analysts in the cases of the petroleum and communications industries. When actual earnings per share are included in the model, their relationship with the stock prices is shown to be significant at the alpha equals 0.01 level. However, when actual earnings per share, predicted earnings per share, and lagged earnings per share are included in the model, the relationship of actual earnings per share with the stock prices is not significant.</abstract><cop>West Haven</cop><pub>University of New Haven</pub></addata></record>
fulltext fulltext
identifier ISSN: 0743-2348
ispartof American business review, 1994-01, Vol.12 (1), p.37
issn 0743-2348
language eng
recordid cdi_proquest_journals_216285596
source BSC - Ebsco (Business Source Ultimate)
subjects Accuracy
Earnings forecasting
Earnings per share
Economic models
Financial analysis
Stock prices
Studies
title Predictive ability of Value Line financial analysts' forecasts
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T19%3A00%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Predictive%20ability%20of%20Value%20Line%20financial%20analysts'%20forecasts&rft.jtitle=American%20business%20review&rft.au=Yallapragada,%20RamMohan%20R&rft.date=1994-01-01&rft.volume=12&rft.issue=1&rft.spage=37&rft.pages=37-&rft.issn=0743-2348&rft_id=info:doi/&rft_dat=%3Cproquest%3E8949470%3C/proquest%3E%3Cgrp_id%3Ecdi_FETCH-proquest_journals_2162855963%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=216285596&rft_id=info:pmid/&rfr_iscdi=true