scholarly journals High-frequency trading and networked markets

2021 ◽  
Vol 118 (26) ◽  
pp. e2015573118
Author(s):  
Federico Musciotto ◽  
Jyrki Piilo ◽  
Rosario N. Mantegna

Financial markets have undergone a deep reorganization during the last 20 y. A mixture of technological innovation and regulatory constraints has promoted the diffusion of market fragmentation and high-frequency trading. The new stock market has changed the traditional ecology of market participants and market professionals, and financial markets have evolved into complex sociotechnical institutions characterized by a great heterogeneity in the time scales of market members’ interactions that cover more than eight orders of magnitude. We analyze three different datasets for two highly studied market venues recorded in 2004 to 2006, 2010 to 2011, and 2018. Using methods of complex network theory, we show that transactions between specific couples of market members are systematically and persistently overexpressed or underexpressed. Contemporary stock markets are therefore networked markets where liquidity provision of market members has statistically detectable preferences or avoidances with respect to some market members over time with a degree of persistence that can cover several months. We show a sizable increase in both the number and persistence of networked relationships between market members in most recent years and how technological and regulatory innovations affect the networked nature of the markets. Our study also shows that the portfolio of strategic trading decisions of high-frequency traders has evolved over the years, adding to the liquidity provision other market activities that consume market liquidity.

2016 ◽  
Author(s):  
Juan Pablo Pardo Guerra

Although an old and rare practice, spoofing has re-emerged as a subject ofintense debate within modern financial markets. An activity entailing thefraudulent creation of orders to buy and sell securities with the purposeof manipulating the market, spoofing highlights the multiple and complexmoral valences of contemporary, automated, finance. In this paper, I studyspoofing as an opportunity to understand markets and their relations ofexchange. In particular, by extending Weberian metaphors of markets asmoral and organizational communities, I examine how the courts and marketparticipants distinguish the ‘false’ transactions of spoofing from the‘real’ exchanges of 'normal' market behavior. Combining Marilyn Strathern’stheoretical discussion of the anthropological relation with recentliteratures on infrastructures and markets, I argue that the perceivedreality of transactions is a product of how novel forms of economicknowledge are able to make sense of ‘taken for granted’ behavioral patternswithin digital platforms of market action. The intent that constitutes‘real’ trades is therefore a product of how market participants, economicexperts and the courts interpret the operational underbelly of markets andthe relations that they produce.


2017 ◽  
Vol 32 (3) ◽  
pp. 270-282 ◽  
Author(s):  
Ricky Cooper ◽  
Jonathan Seddon ◽  
Ben Van Vliet

The last few decades has seen an ever-increasing growth in the way activities are productized and associated with a financial cost. This phenomenon, termed financialization, spans all areas including government, finance, health and manufacturing. Recent developments within finance over that past decade have radically altered the way trading occurs. This paper analyses high-frequency trading (HFT) as a necessary component of the infrastructure that makes financialization possible. Through interviews with HFT firms, a software vendor, regulators and banks, the effects of HFT on market efficiency, and its impact on costs to long-term investors are explored. This paper contributes to the literature by exploring the conflict that exists between HFT and traditional market makers in today's fragmented markets. This paper argues that society should be unconcerned with this conflict and should instead focus on the effects these participants have on the long-term investors, for whom the markets ultimately exist. In order to facilitate the best outcomes, regulation should be simple, aimed at keeping participants’ behavior stable, and the interactions among them transparent and straightforward. Financialization and HFT are inextricably linked, and society is best served by ensuring that the creative energy of these market participants is directed on providing liquidity and removing inefficiencies.


In this paper we take a retrospective look at our paper “Phantom Liquidity and High-Frequency Quoting” and discuss the context of the research in light of our broader inquiry into the nature of the high-frequency trading industry. The data presented in this paper appear to show that limit order cancellations of high-frequency traders are associated with price discovery and liquidity provision, rather than some manner of systematic taking advantage of other market participants. These firms are acting as rational, profit-seeking businesses, and we believe time has shown this view to be correct. In the years since publication, HFT has matured, and consolidated into fewer, lower-cost providers of efficiency and liquidity services, much like we would expect in any other industry.


2018 ◽  
Vol 54 (4) ◽  
pp. 1469-1497 ◽  
Author(s):  
Jonathan Brogaard ◽  
Corey Garriott

Theory on high-frequency traders (HFTs) predicts that market liquidity for a security decreases in the number of HFTs trading the security. We test this prediction by studying a new Canadian stock exchange, Alpha, that experienced the entry of 11 HFTs over 4 years. We find that bid–ask spreads on Alpha converge to those at the Toronto Stock Exchange as more HFTs trade on Alpha. Effective and realized spreads for non-HFTs improve as HFTs enter the market. To explain the contrast with theory, which models the HFT as a price competitor, we provide evidence more consistent with HFTs fitting a quantity-competitor framework.


2019 ◽  
Vol 134 (2) ◽  
pp. 381-399 ◽  
Author(s):  
Laura Malceniece ◽  
Kārlis Malcenieks ◽  
Tālis J. Putniņš

2017 ◽  
Vol 32 (2) ◽  
pp. 111-126 ◽  
Author(s):  
Wendy L. Currie ◽  
Jonathan J. M. Seddon

Computerization has transformed financial markets with high frequency trading displacing human activity with proprietary algorithms to lower latency, reduce intermediary costs, enhance liquidity and increase transaction speed. Following the “Flash Crash” of 2010 which saw the Dow Jones Industrial Average plunge 1000 points within minutes, high frequency trading has come under the radar of multi-jurisdictional regulators. Combining a review of the extant literature on high frequency trading with empirical data from interviews with financial traders, computer experts and regulators, we develop concepts of regulatory adaptation, technology asymmetry and market ambiguity to illustrate the ‘dark art’ of high frequency trading. Findings show high frequency trading is a multi-faceted, complex and secretive practice. It is implicated in market events, but correlation does not imply causation, as isolating causal mechanisms from interconnected automated financial trading is highly challenging for regulators who seek to monitor algorithmic trading across multiple jurisdictions. This article provides information systems researchers with a set of conceptual tools for analysing high frequency trading.


2019 ◽  
Vol 7 (3) ◽  
pp. 25-36
Author(s):  
M. Zharikov

The article covers some ideas about the research on high-frequency trading and financial market design. The topic is time-relevant because today there exists a need to convince traders that there is a simple structural floor in the way that the financial markets are designed. The article reveals the significance of trading on the floor that the foremost fundamental constraint is limited time. The author proves that time on the financial market feels, to some extent, infinite when someone counts it in millions of seconds, but time is nevertheless finite. The author then gets into the actual research on high-frequency trading in the financial market design. The motivation for this project is to analyse activity among high-frequency trading firms by which investments of substantial sums of money are understood as economically trivial speed improvements. The theoretical significance of the research’s outcomes lies in outlaying the systemic approach to dealing with stochastic control problems in the context of financial engineering. The practical relevance of the paper lies in the mechanism that allows solving problems surrounding optimal trading, market microstructure, high-frequency trading, etc. The article concludes by talking about the issues in the modern electronic markets and by giving lessons to dealing with them in the long run.


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