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...

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Detalles Bibliográficos
Autores: Samaniego-Alcántar, Ángel, Casillas-Aceves, Santiago A.
Tipo de recurso: capítulo de libro
Estado:Versión publicada
Fecha de publicación:2018
País:México
Institución:Instituto Tecnológico y de Estudios Superiores de Occidente
Repositorio:Repositorio Institucional del ITESO
Idioma:inglés
OAI Identifier:oai:rei.iteso.mx:11117/5325
Acceso en línea:http://hdl.handle.net/11117/5325
Access Level:acceso abierto
Palabra clave:CAPM; Kalman Filter; Factor Model; Asset Pricing
Descripción
Sumario: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.