Resumen

LORENZO-VALDES, Arturo. Investor confidence as a determinant in the Mexican stock market through a TAR-EGARCH model. Anál. econ. [online]. 2020, vol.35, n.88, pp.147-165.  Epub 13-Nov-2020. ISSN 2448-6655.

In this work, a two regimes TAR-EGARCH model is applied in order to study the effects of psychological biases on the capital market. Implicit volatility is included in each regimen as an indicator of fear among informed investors. Conditional variance equation includes factors that represent investor’s overconfidence to determine if this emotional bias affects returns volatility.

The results show that overconfidence is a determinant of volatility; and the regimes in the conditional mean, are determined by confidence that uninformed investors have of the economy. The fear of rational investors affects the stock returns in each regime.

Palabras llave : Stock returns; behavioral finance; TAR-EGARCH; confidence.