TL;DR: In this article, a variety of modern trading tactics and manipulation strategies in the context of trading and order mechanics are examined, including best execution, cancellation rates, and manipulation, and the connection between manipulation and short exposures as well as potential connections between Federal Reserve policies and artificial pricing.
TL;DR: This chapter describes the various forms of market manipulation, ranging from classical pump and dump schemes, bear raids, and painting the tape, through to recent forms of manipulation such as spoofing, layering, pinging, and quote stuffing.
Abstract: In this chapter, I describe the various forms of market manipulation, ranging from classical pump and dump schemes, bear raids, and painting the tape, through to recent forms of manipulation such as spoofing, layering, pinging, and quote stuffing. I discuss the defining elements of market manipulation, including recent legislative changes that seek to keep pace with the changing nature of market manipulation. Finally, I review what is and is not known on the topic of market manipulation based on academic studies, discuss the challenges of analyzing market manipulation, and suggest future research directions.
TL;DR: In this paper, the authors provide several statistics concerning cancellation latency that would be helpful to regulators as they consider policies to establish a minimal quote life and find that cancellation latency is related to market quality and is not constant.
Abstract: This paper provides several statistics concerning cancellation latency that would be helpful to regulators as they consider policies to establish a minimal quote life. We find that cancellation latency is related to market quality and is not constant. Rather, it varies depending upon the time of day, order price and size, market congestion, trader type, firm size, order imbalance, and technology used for submitting an order.
TL;DR: In this article, the intraday relationship between ultra-fast machine-driven activity (UFA) and market quality in automated equity markets is studied. And the authors find that higher UFA is associated with lower intradays market quality (greater quoted and effective spreads and lower depth).
Abstract: This paper studies the intraday relationship between ultra-fast machine-driven activity (UFA) and market quality in automated equity markets. We find that higher UFA is associated with lower intraday market quality (greater quoted and effective spreads and lower depth). This effect is economically significant, and robust to different specifications, endogeneity tests, and alternative measures of UFA. Our results hold after controlling for volatility, periods of unusually high UFA (a proxy for quote stuffing), and periods where UFA is primarily driven by fleeting orders inside the spread (a proxy for spoofing and competition between liquidity providers).