Muhammad Haroon Rasheed - Department of Management Science, National University of Modern Languages, Islamabad, Pakistan; Noon Business School, University of Sargodha, Pakistan
Faid Gul - Department of Management Science, National University of Modern Languages, Islamabad, Pakistan
Aijaz Mustafa Hashmi - Department of Management Science, National University of Modern Languages, Islamabad, Pakistan
Muhammad Zubair Mumtaz - School of social sciences and Humanity, National University of Science and Technology, Islamabad, Pakistan

Stock market behavior is a contentious matter among researchers in the field of finance. In literature, various conventional and behavioral explanations exist for real-life stock market behavior. This study considered and incorporated all three schools of thought on the matter and applied a nonlinear model namely a threshold quantile autoregressive model as a contribution to exploring the behavior of the Pakistan stock market from ۲۰۰۰ to ۲۰۱۸. The findings of the study indicate that autocorrelation exists in the KSE ۱۰۰ index and has a significant impact on both higher and lower regimes. The results also point out that investors overreact and underreact in different states of the stock market. During the examination of the impact of stock characteristics and behavioral factors on the existence of stock market autocorrelation. It is concluded based on empirical evidence that these factors cause a significant impact on autocorrelation in the index. The study is of the view that behavioral biases are among the prime reasons for the violation of efficient market behavior and need further exploration.

Autocorrelation, Stock Returns, Market Sentiments, Pakistan Stock Market