Earning per unit of common stockholder: A predictor of share prices
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.21/12545 |
Resumo: | The glaring of the stock market and the frequency of transaction involved there in have prompted the research community to make sophisticated predictions related to its components. In such a situation, the most highligted variable is the market value of the share. The prediction is made to spotlight a model that could give investors a solution to allocate their valuable financial resources. With such outburst of research in this field, no magic key or perfect model is ever identified that could solve the puzzle of share prices fluctuation hence, making this topic ever heated up and hot. This study is an extension of such research studies whereby we have taken Earning per share as a regressor for the market price of the share. Panel statistics of random effect model are applied by taking five companies from the fertilizer sector. Data considered for the study is for a period between 2004 and 2015. The results of the study defined a strong causal linkage between EPS and share prices (t = 18.24125, p<0.01 and R2 = 0.853098). These findings can direct the investors to include EPS in their share evaluation criteria and make a prudent decision in this regard. |
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Earning per unit of common stockholder: A predictor of share pricesCompany's fundamentalStock pricesEPSThe glaring of the stock market and the frequency of transaction involved there in have prompted the research community to make sophisticated predictions related to its components. In such a situation, the most highligted variable is the market value of the share. The prediction is made to spotlight a model that could give investors a solution to allocate their valuable financial resources. With such outburst of research in this field, no magic key or perfect model is ever identified that could solve the puzzle of share prices fluctuation hence, making this topic ever heated up and hot. This study is an extension of such research studies whereby we have taken Earning per share as a regressor for the market price of the share. Panel statistics of random effect model are applied by taking five companies from the fertilizer sector. Data considered for the study is for a period between 2004 and 2015. The results of the study defined a strong causal linkage between EPS and share prices (t = 18.24125, p<0.01 and R2 = 0.853098). These findings can direct the investors to include EPS in their share evaluation criteria and make a prudent decision in this regard.IAPNMRCIPLSharif, NimraAhmad, NawazDos Santos, Maria José Palma Lampreia2021-01-05T10:50:36Z2020-07-022020-07-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/12545engSharif, N., Ahmad, N., Dos-Santos, M.J.P.L (2020, jul 2-4).Earning per unit of common stockholder: A predictor of share prices. Paper presented, online, at 19th International Association on Public and Nonprofit Marketing (IAPNM): “Sustainability: new challenges for marketing and socioeconomic development”, University of León, Madrid, Spainmetadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T10:05:39Zoai:repositorio.ipl.pt:10400.21/12545Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:20:36.848344Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Earning per unit of common stockholder: A predictor of share prices |
title |
Earning per unit of common stockholder: A predictor of share prices |
spellingShingle |
Earning per unit of common stockholder: A predictor of share prices Sharif, Nimra Company's fundamental Stock prices EPS |
title_short |
Earning per unit of common stockholder: A predictor of share prices |
title_full |
Earning per unit of common stockholder: A predictor of share prices |
title_fullStr |
Earning per unit of common stockholder: A predictor of share prices |
title_full_unstemmed |
Earning per unit of common stockholder: A predictor of share prices |
title_sort |
Earning per unit of common stockholder: A predictor of share prices |
author |
Sharif, Nimra |
author_facet |
Sharif, Nimra Ahmad, Nawaz Dos Santos, Maria José Palma Lampreia |
author_role |
author |
author2 |
Ahmad, Nawaz Dos Santos, Maria José Palma Lampreia |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Sharif, Nimra Ahmad, Nawaz Dos Santos, Maria José Palma Lampreia |
dc.subject.por.fl_str_mv |
Company's fundamental Stock prices EPS |
topic |
Company's fundamental Stock prices EPS |
description |
The glaring of the stock market and the frequency of transaction involved there in have prompted the research community to make sophisticated predictions related to its components. In such a situation, the most highligted variable is the market value of the share. The prediction is made to spotlight a model that could give investors a solution to allocate their valuable financial resources. With such outburst of research in this field, no magic key or perfect model is ever identified that could solve the puzzle of share prices fluctuation hence, making this topic ever heated up and hot. This study is an extension of such research studies whereby we have taken Earning per share as a regressor for the market price of the share. Panel statistics of random effect model are applied by taking five companies from the fertilizer sector. Data considered for the study is for a period between 2004 and 2015. The results of the study defined a strong causal linkage between EPS and share prices (t = 18.24125, p<0.01 and R2 = 0.853098). These findings can direct the investors to include EPS in their share evaluation criteria and make a prudent decision in this regard. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-07-02 2020-07-02T00:00:00Z 2021-01-05T10:50:36Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.21/12545 |
url |
http://hdl.handle.net/10400.21/12545 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Sharif, N., Ahmad, N., Dos-Santos, M.J.P.L (2020, jul 2-4).Earning per unit of common stockholder: A predictor of share prices. Paper presented, online, at 19th International Association on Public and Nonprofit Marketing (IAPNM): “Sustainability: new challenges for marketing and socioeconomic development”, University of León, Madrid, Spain |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
IAPNM |
publisher.none.fl_str_mv |
IAPNM |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1817551207019839488 |