Daniel Liston-Perez, Patricio Torres-Palacio and Sidika Gulfem Bayram
The purpose of this paper is to test whether investor sentiment is a significant predictor of future Mexican stock market returns. It also estimates the dynamic correlation…
Abstract
Purpose
The purpose of this paper is to test whether investor sentiment is a significant predictor of future Mexican stock market returns. It also estimates the dynamic correlation between investor sentiment and equity returns. Finally, it examines if investor sentiment innovations impact unexpected returns for a variety of portfolios.
Design/methodology/approach
This study utilizes predictive regressions to determine if sentiment can predict Mexican equity returns. Multivariate GARCH models are estimated to examine the time-varying correlations between investor sentiment and equity returns.
Findings
The results show that Mexican investor sentiment is a significant predictor of Mexican equity returns for up to 24 months ahead. The findings show that high levels of sentiment today are associated with lower equity returns over the near term. Furthermore, multivariate GARCH estimations indicate that the correlation between investor sentiment and equity returns is not static and varies considerably over time. Finally, the findings indicate that sentiment innovations are significantly correlated with unexpected returns, reinforcing the notion that unexplained sentiment fluctuations lead to unexplained changes in stock market returns. Overall, these results suggest that investor sentiment is a significant source of risk for the Mexican stock market.
Originality/value
This study seeks to further our understanding of how behavioral factors influence and predict Mexican equity returns.
Details
Keywords
Daniel Liston-Perez and Juan Pablo Gutierrez
The purpose of this paper is to examine the temporal impact of individual and institutional investor sentiment on sin stock returns.
Abstract
Purpose
The purpose of this paper is to examine the temporal impact of individual and institutional investor sentiment on sin stock returns.
Design/methodology/approach
The authors estimate vector autoregressive models (VARs) to assess the dynamic relationships amongst pure sin returns and both types of investor sentiment. The justification for estimating VARs is that it allows one to study the potential influence that shocks (i.e. innovations) in individual and institutional investor sentiment might have on pure sin returns over time. Sin stock returns are separated into a market-based and pure sin component. Additionally, the authors split both measures of investor sentiment into rational- and irrational-based components.
Findings
This study finds that shocks to both individual and institutional rational-based sentiment positively influence pure sin returns for up to four months. However, irrational-based shocks have a positive, weaker and insignificant effect on pure sin returns. In addition, the results for the pure sin portfolio are compared to the S&P 500 and a comparables portfolio. The results show that sin stocks are less responsive than the S&P and the comparables portfolio to shocks in investor sentiment.
Originality/value
This study addresses some of the limitations found in the only prior study of sin stocks and investor sentiment (Perez Liston, 2016). Specially, this study investigates the link between sin stocks and sentiment in a dynamic context and also focuses the analysis on pure sin returns.