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Aggregate volatility expectations and threshold CAPM
Institution:1. Université Paris-Dauphine, DRM Finance, 75775 Paris Cedex 16, France;2. Bilkent University Faculty of Business Administration, 06533 Ankara, Turkey;1. Department of Applied Economics, Fo Guang University, Yilan, Taiwan;2. Department of Economics, Feng Chia University, Taichung, Taiwan;3. Department of Leisure Management, Tungnan University, Taipei, Taiwan;1. Department of Economics, Waikato University, New Zealand;2. Facultad de Economía, Universidad del Rosario, Colombia;3. Department of Economics, University of Macedonia, Greece
Abstract:We propose a volatility-based capital asset pricing model (V-CAPM) in which asset betas change discretely with respect to changes in investors’ expectations regarding near-term aggregate volatility. Using a novel measure to proxy uncertainty about expected changes in aggregate volatility, i.e. monthly range of the VIX index (RVIX), we find that portfolio betas change significantly when uncertainty about aggregate volatility expectations is beyond a certain threshold level. Due to changes in their market betas, small and value stocks are perceived as riskier than their big and growth counterparts in bad times, when uncertainty about aggregate volatility expectations is high. The proposed model yields a positive and significant market risk premium during periods when investors do not expect significant uncertainty in near-term aggregate volatility. Our findings support a volatility-based time-varying risk explanation.
Keywords:Aggregate volatility  Threshold regression  Conditional CAPM  Range  VIX
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