Competitive advantage in algorithmic trading: a behavioral innovation economics approach

Abstract

PurposeThis paper investigates the strategic behavior of algorithmic trading firms from an innovation economics perspective. The authors seek to uncover the sources of competitive advantage these firms develop to make markets inefficient for them and enable their survival.Design/methodology/approachFirst, the authors review expected capability, a quantitative behavioral model of the sustainable, or reliable, profits that lead to survival. Second, they present qualitative data gathered from semi-structured interviews with industry professionals as well as from the academic and industry literatures. They categorize this data into first-order concepts and themes of opportunity-, advantage- and meta-seeking behaviors. Associating the observed sources of competitive advantages with the components of the expected capability model allows us to describe the economic rationale these firms have for developing those sources and explain how they survive.FindingsThe data reveals ten sources of competitive advantages, which the authors label according to known ones in the strategic management literature. We find that, due to the dynamically complex environments and their bounded resources, these firms seek heuristic compromise among these ten, which leads to satisficing. Their application of innovation methodology that prescribes iterative ex post hypothesis testing appears to quell internal conflict among groups and promote organizational survival. The authors believe their results shed light on the behavior and motivations of algorithmic market actors, but also of innovative firms more generally.Originality/valueBased upon their review of the literature, this is the first paper to provide such a complete explanation of the strategic behavior of algorithmic trading firms.

Knowledge Management and Capability Theory in Structured Products: Perspectives From Industry Professionals

“…In this section, we review capability theory as a model of decision-making, where the firm's goal is to earn sufficient profits with sufficient reliability (see Kumiega, et al, 2014;Cooper, et al, 2022). Capability is essentially analogous to what Schwaniger (1993,2000) calls viability beyond mere survival.…”

“…We also gathered evidence from the industry literature to independently verify the results extracted from these interviews. We categorize the data collected according to the methodology of Gioia, et al (2013) and then integrate it with a behavioral model called capability theory (see Kumiega, et al, 2014;Cooper, et al, 2022). We derive this approach from the academic literatures on innovation and strategic entrepreneurship, which focus on survival through sustainable profits, which arise from "identifying opportunities … and then developing competitive advantages to exploit them (Ireland et al, 2003, p.…”