Behavioral biases are known to influence the investment decisions of retail investors.Indeed, extant research has revealed interesting findings in this regard. However, the literature on the impact of these biases on millennials' trading activity, particularly during a health crisis like the COVID-19 pandemic, as well as the equity recommendation intentions of such investors, is limited. The present study addressed these gaps by investigating the influence of eight behavioral biases: overconfidence and selfattribution, over-optimism, hindsight, representativeness, anchoring, loss aversion, mental accounting, and herding on the trading activity and recommendation intentions of millennials during the pandemic. An artificial neural network approach was used to analyze the data collected from 351 millennial men in Finland. The results revealed that herding, hindsight, overconfidence and self-attribution, representativeness, and anchoring influence both trading activity and recommendation intentions, albeit to varying extents. Notably, loss aversion and mental accounting influence only the recommendation intentions. Furthermore, the relationship of the two endogenous variables is nonlinear with herding, representativeness, and anchoring but is linear with other biases. In addition to the quantitative study, we also conducted a post hoc qualitative study with 19 millennials to evaluate the persistence of behavioral biases among them through the pandemic. K E Y W O R D S artificial neural network (ANN), behavioral biases, behavioral finance, heuristic simplification, retail investors 1 | INTRODUCTION Behavioral finance has emerged as a key field of study in the area of investment management. It examines the rationally inexplicable behavioral aspects of individuals and institutions transacting in financial markets. An increase in the investment activity of retail participants during the recent past has made understanding such behavioral aspects all the more critical (Seth et al., 2020). In this regard, scholars have observed that two distinct sets of factors drive retail investors' decision to invest: (a) rational factors related to traditional finance (Cuong & Jian, 2015) and (b) irrational factors that come under the domain of behavioral finance (Baltussen & Post, 2011). Traditional finance assumes that This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.