5   Artículos

 
en línea
Yi-Chang Chen, Hung-Che Wu, Yuanyuan Zhang and Shih-Ming Kuo    
The aim of this study is to investigate the herding of beta transmission between return and volatility. We have used the dynamic conditional correlation model with the mixed-data sampling (DCC-MIDAS) model for the analysis. The evidence demonstrates that... ver más
Revista: International Journal of Financial Studies    Formato: Electrónico

 
en línea
André Ricardo de Pinho Ronzani, Osvaldo Candido and Wilfredo Fernando Leiva Maldonado    
In this work, a Capital Asset Pricing Model (CAPM) with time-varying betas is considered. These betas evolve over time, conditional on financial and non-financial variables. Indeed, the model proposed by Adrian and Franzoni (2009) is adapted to assess th... ver más
Revista: International Journal of Financial Studies    Formato: Electrónico

 
en línea
Jordan French    
The study adds an empirical outlook on the predicting power of using data from the future to predict future returns. The crux of the traditional Capital Asset Pricing Model (CAPM) methodology is using historical data in the calculation of the beta coeffi... ver más
Revista: International Journal of Financial Studies    Formato: Electrónico

 
en línea
Frances Fischberg Blank,Carlos Patricio Samanez,Tara Keshar Nanda Baidya,Fernando Antonio Lucena Aiube     Pág. 163 - 199
The conditional CAPM is characterized by time-varying market beta. Based on state-space models approach, beta behavior can be modeled as a stochastic process dependent on conditioning variables related to business cycle and estimated using Kalman filter.... ver más
Revista: Revista Brasileira de Finanças    Formato: Electrónico

 
en línea
Ailie Charteris    
AbstractSeveral studies of the Capital Asset Pricing Model (CAPM) in South Africa find that beta cannot explain returns. However, these studies do not consider the effect of bull and bear markets, yet over the period 1995-2009, excess market returns were... ver más
Revista: Journal of Economic and Financial Sciences (JEF)    Formato: Electrónico

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