stock yield in Shenzhen, China: The search of best prediction model

This paper focuses on the analysis of forecasting models of financial returns. Particularly, the Capm Model, Reward Beta Model and the Three-factors Model of Fama & French are studied. Through this analysis, the aim is to determine what Model explains better the outcomes of the returns o...

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Main Authors: Clemente Hernández Rodríguez, Mauricio Cervantes Zepeda
Format: Article
Language:English
Published: Universidad de Colima 2010-05-01
Series:Portes: Revista mexicana de estudios sobre la Cuenca del Pacífico
Subjects:
Online Access:http://revistasacademicas.ucol.mx/index.php/portes/article/view/274
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spelling doaj-f0a8c9c34834403fb253f71489539a972020-11-24T22:57:00ZengUniversidad de ColimaPortes: Revista mexicana de estudios sobre la Cuenca del Pacífico1870-68002010-05-0147109130218stock yield in Shenzhen, China: The search of best prediction modelClemente Hernández Rodríguez0Mauricio Cervantes Zepeda1Tecnológico de Monterrey, campus GuadalajaraTecnológico de Monterrey, Campus Guadalajara.This paper focuses on the analysis of forecasting models of financial returns. Particularly, the Capm Model, Reward Beta Model and the Three-factors Model of Fama & French are studied. Through this analysis, the aim is to determine what Model explains better the outcomes of the returns of the China’s Shenzhen Stock Exchange. Tests are performed under the portfolio formation procedure, following the methodology of Fama & French (1992, 1995, 1996), and the two-step regression used by Fama & MacBeth (1973), adapted in the devolving of the Beta Reward Model (Bornholt, 2007). After the analysis, it is concluded that the best forecasting Model of returns for the Shenzhen Stock Exchange is Three-factors Model of Fama & French.http://revistasacademicas.ucol.mx/index.php/portes/article/view/274CAMPReward BetaModelo tres Factores de Fama y FrenchShenzhenChina
collection DOAJ
language English
format Article
sources DOAJ
author Clemente Hernández Rodríguez
Mauricio Cervantes Zepeda
spellingShingle Clemente Hernández Rodríguez
Mauricio Cervantes Zepeda
stock yield in Shenzhen, China: The search of best prediction model
Portes: Revista mexicana de estudios sobre la Cuenca del Pacífico
CAMP
Reward Beta
Modelo tres Factores de Fama y French
Shenzhen
China
author_facet Clemente Hernández Rodríguez
Mauricio Cervantes Zepeda
author_sort Clemente Hernández Rodríguez
title stock yield in Shenzhen, China: The search of best prediction model
title_short stock yield in Shenzhen, China: The search of best prediction model
title_full stock yield in Shenzhen, China: The search of best prediction model
title_fullStr stock yield in Shenzhen, China: The search of best prediction model
title_full_unstemmed stock yield in Shenzhen, China: The search of best prediction model
title_sort stock yield in shenzhen, china: the search of best prediction model
publisher Universidad de Colima
series Portes: Revista mexicana de estudios sobre la Cuenca del Pacífico
issn 1870-6800
publishDate 2010-05-01
description This paper focuses on the analysis of forecasting models of financial returns. Particularly, the Capm Model, Reward Beta Model and the Three-factors Model of Fama & French are studied. Through this analysis, the aim is to determine what Model explains better the outcomes of the returns of the China’s Shenzhen Stock Exchange. Tests are performed under the portfolio formation procedure, following the methodology of Fama & French (1992, 1995, 1996), and the two-step regression used by Fama & MacBeth (1973), adapted in the devolving of the Beta Reward Model (Bornholt, 2007). After the analysis, it is concluded that the best forecasting Model of returns for the Shenzhen Stock Exchange is Three-factors Model of Fama & French.
topic CAMP
Reward Beta
Modelo tres Factores de Fama y French
Shenzhen
China
url http://revistasacademicas.ucol.mx/index.php/portes/article/view/274
work_keys_str_mv AT clementehernandezrodriguez stockyieldinshenzhenchinathesearchofbestpredictionmodel
AT mauriciocervanteszepeda stockyieldinshenzhenchinathesearchofbestpredictionmodel
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