UGC Approved Journal no 63975(19)

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Published in:

Volume 10 Issue 9
September-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2309561


Registration ID:
525534

Page Number

f512-f516

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Title

THE FAMA-MACBETH REGRESSION TO TEST CAPM, AND OTHER ASSET PRICING MODELS

Abstract

In financial economics, asset pricing has been a critical topic. For asset pricing, Fama-MacBeth devised a unique regression procedure. Fama-MacBeth regression is a frequently used method in academia and practice for assessing CAPM, Fama-French three component model. This method has its own mathematics; nevertheless, the only way to run this method is through EViews, which is a very expensive application. As a result, the current work is an attempt to devise a strategy to run Fama-MacBeth regression in MS-Excel. There is no Fama-MacBeth regression add-in in MS-Excel.

Key Words

Fama-MacBeth Regression, Cross-section, CAPM, Regression in Excel

Cite This Article

"THE FAMA-MACBETH REGRESSION TO TEST CAPM, AND OTHER ASSET PRICING MODELS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.f512-f516, September-2023, Available :http://www.jetir.org/papers/JETIR2309561.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"THE FAMA-MACBETH REGRESSION TO TEST CAPM, AND OTHER ASSET PRICING MODELS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppf512-f516, September-2023, Available at : http://www.jetir.org/papers/JETIR2309561.pdf

Publication Details

Published Paper ID: JETIR2309561
Registration ID: 525534
Published In: Volume 10 | Issue 9 | Year September-2023
DOI (Digital Object Identifier):
Page No: f512-f516
Country: DELHI, DELHI, India .
Area: Commerce
ISSN Number: 2349-5162
Publisher: IJ Publication


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