The aim of this article was to investigate the causal relationships between economic policy uncertainty, investor sentiment, and the performance of the Brazilian market, while taking into account the presence of asymmetries and both short- and long-term cointegration. In market dynamics, it is expected that economic policy uncertainty, investor sentiment, and market performance will show some degree of relationship. In the Brazilian context, the analysis of these three variables has not been carried out, especially considering their assymmetric interrelations and the behavior of the relationships in the short and long term simultaneously. Understanding these relationships is important because it allows agents to know the potential impacts that these variables have on each other, which will facilitate informed decision-making among the involved parties. The results obtained are relevant for investment strategies, as informed investors will direct their decisions towards minimizing their exposure to market fluctuation, based on identified causal relationships and anticipating potential market movements. Utilizing a nonlinear autoregressive distributed lag model, the study showed that the relationships between investor sentiment, economic policy uncertainty, and stock market performance are more complex than suggested by previous studies applied to the Brazilian market. We identified asymmetric short- and long-term relationships not previously observed.
Keywords:
economic policy uncertainty; investor sentiment; market performance; asymmetric effects; NARDL
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Note: The dashed directional arrows in gray indicate positive relationships between the variables, i.e. a negative (positive) shock to the explanatory variable will lead to a decrease (increase) in the explained variable; the dotted directional arrows in black indicate that the relationships are negative, i.e. a negative (positive) shock to the explanatory variable will lead to an increase (decrease) in the explained variable; the signs at the beginning of the arrows indicate whether the shocks with statistical significance are positive (+) or negative (-). Source: Prepared by the authors.