Using comprehensive administrative data from the UK, we examine trading by different investor types in government bond markets. Our sample covers virtually all secondary market gilts and contains detailed information on each transaction, including identities of both counterparties. We find that hedge funds’ daily positively forecasts gilt returns following one to five days, which is then fully ...

We estimate a structural model of strategic trader behavior that sheds light on the determinants of trading volume and stock returns. Our novel identification approach exploits enormous empirical variation in trading and volatility associated with the time of day and public news arrival. Over 95% of trading occurs during regular market hours (9:30am to 4pm), even though prices exhibit considera...

I n this paper, trading symbols of the 30 largest companies listed in the Tehran Stock Exchange (TSE) were ranked based on the asymmetry information risk. Using the Ersan and Alici (2016) modified clustering algorithm (EA), we estimated the probability of informed trading (PIN) to measure the asymmetry information among traders for each trading symbol and trading day through two-year...

Objective: The aim of this study is to model arrival process of informed and uninformed traders into Tehran Stock Exchange (TSE) as well as to assess the interaction between two types of traders which is an important yet neglected topic. Methods: In this study, a sequential trade model was estimated based on trading data of 33 stocks belonging to 11 industries of TSE during the period from 201...