فرزاد جعفری

The stock market is influenced by other parallel markets and macroeconomic variables; such variables have impacts on the behavior of financial market players. Accordingly, this study first examines the existence of herding behavior among investors in the Tehran Stock Exchange (TSE). It then investigates the effects of exogenous economic variables on this industry-level behavior in the Tehran Stock Exchange (TSE) throughout 2008- 2018. For this purpose, 12 different industries were studied, and the results of nonlinear regression analysis showed the existence of herding behavior in all selected industries in the bearish market. However, this is not true for the bullish market. The findings also indicate that the effects of exogenous variables are not the same in different industries.

Behavioral finance had been becoming a fast-growing field of study in the past few years and because of the importance of investors' behavior in market performance, it's extremely noteworthy. By studying biases from their orientation perspective, we can divide them into two major groups, past-oriented, and current-oriented biases. In this research, a model had been developed for the past-oriented behavioral bias, which is closely related to the random walk theory. The research sample included the daily price information of 9 different industry indices in the Tehran Exchange Price Index (TEPIX), the index of 50 Top Companies in the Tehran Stock Exchange, and the S&P index in the New York Stock Exchange from 03/25/2011 to 03/19/2019. The results of the ARIMA model based on Markov switching models were measured for the degree of rigidity of these indexes by random walk theory, and then the effect of past-oriented behavioral bias was calculated in each of these 12 indexes by developing a new model. The results indicate that the cement index had the highest past-oriented behavioral bias (57%), followed by the top 50 companies index (46%), chemicals (41%), and oil product index (12%). However, the S&P index had no past-oriented behavioral bias.