Testing the Capital Asset Pricing Model using the Kalman Filter: Empirical Evidence from the Mexican Stock Market

The Capital Asset Pricing Model (CAPM) widely used for the valuation of financial assets may have periods of low expla- nation (low R-square). For those periods, the factor models have a low confidence. The Kalman filter is able to sort out the noise that often have the data, such as the high volati...

ver descrição completa

Detalhes bibliográficos
Autores: Samaniego-Alcántar, Ángel, Casillas-Aceves, Santiago A.
Formato: capítulo de livro
Estado:Versión publicada
Fecha de publicación:2018
País:México
Recursos:Instituto Tecnológico y de Estudios Superiores de Occidente
Repositorio:Repositorio Institucional del ITESO
Idioma:inglés
OAI Identifier:oai:rei.iteso.mx:11117/5325
Acesso em linha:http://hdl.handle.net/11117/5325
Access Level:acceso abierto
Palavra-chave:CAPM; Kalman Filter; Factor Model; Asset Pricing
Descrição
Resumo:The Capital Asset Pricing Model (CAPM) widely used for the valuation of financial assets may have periods of low expla- nation (low R-square). For those periods, the factor models have a low confidence. The Kalman filter is able to sort out the noise that often have the data, such as the high volatility of the time series in financial markets. This chapter presents empirical evidence of CAPM model calculation using the Kalman filter from the Mexican financial market data.