The estimation of the probability of informed trading (PIN) may fail for firms with high levels of trading due to a computer's floating-point exception (FPE; i.e., over/underflow). A recent study proposes as a solution the use of scaled trade counts to estimate PIN for actively traded firms....

This study adds to the literature on estimating the probability of informed trading (PIN), which interests market microstructure empiricists, by proposing the q-adjustment to the process of estimating PIN. Due to challenges in accessing the data necessary for distinguishing between buyer- and...

This is a supplement for the paper (Tsaih, Lin and Ke, 2013, Computational Economics), entitled “An Abductive-Reasoning Guide for Finance Practitioners.” This original article proposes a process through which a finance practitioner's knowledge interacts with artificial intelligence (AI)...