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17439

The Fama and French Five Factor Model: Evidence from an Emerging Market

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Last updated: 03 Jan 2025

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Abstract

This study tests the five-factor model that has recently developed by Fama and French (2015). We use daily data of 84 companies listed in Amman Stock Exchange (ASE) over the period (2011-2015). The results indicate that there is a statistically significant effect of the common risk factors, excess market return (Rm-Rf), small minus big (SMB), high minus low (HML), robust minus weak (RMW) and conservative minus aggressive (CMA) on the cross section of daily returns in ASE. However, the Fama and French five factor model fails to perfectly explain the cross section of stock returns in ASE over the study period. These results could be mainly justified by the fact that ASE is an emerging market in which many unexpected factors apart from fundamentals may interfere in affecting stock returns.

DOI

10.21608/aja.2018.17439

Keywords

Fama and French, Five Factor Model, profitability, Investment Growth, Amman Stock Exchange

Authors

First Name

Dima

Last Name

Alrabadi

MiddleName

Waleed Hanna

Affiliation

Department of Finance and Banking Sciences, Faculty of Economics and Administrative Sciences, Yarmouk University, Jordan

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Orcid

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First Name

Hanna

Last Name

Alrabadi

MiddleName

Waleed Hanna

Affiliation

Department of Financial Economics, Faculty of Economics and Administrative Sciences, Yarmouk University, Jordan

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City

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Orcid

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Volume

38

Article Issue

2

Related Issue

3644

Issue Date

2018-06-01

Receive Date

2017-02-24

Publish Date

2018-06-01

Page Start

295

Page End

304

Print ISSN

1110-5453

Online ISSN

2663-4473

Link

https://aja.journals.ekb.eg/article_17439.html

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https://aja.journals.ekb.eg/service?article_code=17439

Order

16

Type

بحوث باللغة العربیة

Type Code

701

Publication Type

Journal

Publication Title

المجلة العربية للإدارة

Publication Link

https://aja.journals.ekb.eg/

MainTitle

The Fama and French Five Factor Model: Evidence from an Emerging Market

Details

Type

Article

Created At

22 Jan 2023