Sectoral Differences in the Choice of the Time Horizon during Estimation of the Unconditional Stock Beta

The stock beta coefficient literature extensively discusses the proper methods for the estimation of beta as well as its use in asset valuation. However, there are fewer references with respect to the appropriate time horizon that investors should utilize when evaluating the risk-return relationship...

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Main Authors: Dimitrios Dadakas, Christos Karpetis, Athanasios Fassas, Erotokritos Varelas
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:International Journal of Financial Studies
Subjects:
Online Access:http://www.mdpi.com/2227-7072/4/4/25
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spelling doaj-0417f2ad4c89453aa7c71a6d01d677122020-11-24T21:04:43ZengMDPI AGInternational Journal of Financial Studies2227-70722016-12-01442510.3390/ijfs4040025ijfs4040025Sectoral Differences in the Choice of the Time Horizon during Estimation of the Unconditional Stock BetaDimitrios Dadakas0Christos Karpetis1Athanasios Fassas2Erotokritos Varelas3Department of Economics, University of Ioannina, Panepistimioupoli, 45510 Ioannina, GreeceDepartment of Balcan, Slavic and Oriental Studies, University of Macedonia, 156, Egnatia Street, P.O. Box 1591, 54006 Thessaloniki, GreeceThe University of Sheffield International Faculty, City College, 3 Leontos Sofou Street, 54626 Thessaloniki, GreeceDepartment of Economics, University of Macedonia, 156, Egnatia street, P.O. Box 1591, 54006 Thessaloniki, GreeceThe stock beta coefficient literature extensively discusses the proper methods for the estimation of beta as well as its use in asset valuation. However, there are fewer references with respect to the appropriate time horizon that investors should utilize when evaluating the risk-return relationship of a stock. We examine the appropriate time horizon for beta estimation, differentiating our results by sector according to the Industry Classification Benchmark. We employ data from the NYSE and estimate varying lengths of beta employing data from 30 to 250 trading days. The constructed beta series is then examined for the presence of breaks using the endogenous structural break literature. Results show evidence against the use of betas that employ more than 90 trading days of data provisional to the sector under study.http://www.mdpi.com/2227-7072/4/4/25stock betaendogenous structural breakstime horizon
collection DOAJ
language English
format Article
sources DOAJ
author Dimitrios Dadakas
Christos Karpetis
Athanasios Fassas
Erotokritos Varelas
spellingShingle Dimitrios Dadakas
Christos Karpetis
Athanasios Fassas
Erotokritos Varelas
Sectoral Differences in the Choice of the Time Horizon during Estimation of the Unconditional Stock Beta
International Journal of Financial Studies
stock beta
endogenous structural breaks
time horizon
author_facet Dimitrios Dadakas
Christos Karpetis
Athanasios Fassas
Erotokritos Varelas
author_sort Dimitrios Dadakas
title Sectoral Differences in the Choice of the Time Horizon during Estimation of the Unconditional Stock Beta
title_short Sectoral Differences in the Choice of the Time Horizon during Estimation of the Unconditional Stock Beta
title_full Sectoral Differences in the Choice of the Time Horizon during Estimation of the Unconditional Stock Beta
title_fullStr Sectoral Differences in the Choice of the Time Horizon during Estimation of the Unconditional Stock Beta
title_full_unstemmed Sectoral Differences in the Choice of the Time Horizon during Estimation of the Unconditional Stock Beta
title_sort sectoral differences in the choice of the time horizon during estimation of the unconditional stock beta
publisher MDPI AG
series International Journal of Financial Studies
issn 2227-7072
publishDate 2016-12-01
description The stock beta coefficient literature extensively discusses the proper methods for the estimation of beta as well as its use in asset valuation. However, there are fewer references with respect to the appropriate time horizon that investors should utilize when evaluating the risk-return relationship of a stock. We examine the appropriate time horizon for beta estimation, differentiating our results by sector according to the Industry Classification Benchmark. We employ data from the NYSE and estimate varying lengths of beta employing data from 30 to 250 trading days. The constructed beta series is then examined for the presence of breaks using the endogenous structural break literature. Results show evidence against the use of betas that employ more than 90 trading days of data provisional to the sector under study.
topic stock beta
endogenous structural breaks
time horizon
url http://www.mdpi.com/2227-7072/4/4/25
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AT christoskarpetis sectoraldifferencesinthechoiceofthetimehorizonduringestimationoftheunconditionalstockbeta
AT athanasiosfassas sectoraldifferencesinthechoiceofthetimehorizonduringestimationoftheunconditionalstockbeta
AT erotokritosvarelas sectoraldifferencesinthechoiceofthetimehorizonduringestimationoftheunconditionalstockbeta
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