CAPM - MARKOV SWITCHING AND KALMAN FILTER: AN APPLICATION TO B3’S SUSTAINABILITY AND GOVERNANCE INDUSTRY INDICES

Authors

  • Ricardo de Souza Tavares University of Arizona, Eller College of Management, Department of Economics. Tucson, Arizona, United States of America. http://orcid.org/0000-0002-5273-8627
    • João Frois Caldeira Universidade Federal de Santa Catarina, Departamento de Economia e Relações Internacionais. Florianópolis, Santa Catarina, Brasil. Conselho Nacional de Desenvolvimento Científico e Psicológico (CNPq). Brasília, Brasil. http://orcid.org/0000-0002-0723-0461

      DOI:

      https://doi.org/10.22456/2176-5456.87158

      Keywords:

      CAPM, Ibovespa, Markov switching, Kalman filter

      Abstract

      This paper seeks to understand the behavior of the sectoral, governance
      and sustainability indices of the Brazilian stock exchange. For this, a traditional methodology was used with the CAPM models in their versions: static, with regime change
      (Markov Switching) and with betas varying at each point of time (Kalman Filter and
      Smoother). The application of this methodology brought evidence that eight of the
      nine indexes analyzed present structural change (alternating between two regimes). In
      addition, it was noted that betas are unstable over time, ie there is a nonlinear relationship between risk and return. Overall, the results found indicate that the systemic risk
      (beta) of the analyzed indices varies over time and depends on regimens. Finally, this
      analysis allows the manager or investor to have access to a set of information relevant to his decision making regarding investments in sectors or a set of companies with good
      practices, which make up the Brazilian stock exchange.

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      Published

      2021-09-29

      How to Cite

      Tavares, R. de S., & Caldeira, J. F. (2021). CAPM - MARKOV SWITCHING AND KALMAN FILTER: AN APPLICATION TO B3’S SUSTAINABILITY AND GOVERNANCE INDUSTRY INDICES. Análise Econômica, 39(80). https://doi.org/10.22456/2176-5456.87158