Information Efficiency and the Effect of High Frequency Trading in the Us Futures Markets

AbstractSince the appearance of high-frequency trading in the 1990s, speed has become one of the key issues in trading and with it, the controversy around High-Frequency Trading. In recent years, there have been many discussions and analyses of how high-frequency trading may affect the financial market – but still without any clear conclusions. Leaving these opinions behind, many adjustments have already been made in the US and Europe - both to regulations and market rules, impacting not only High-Frequency Trading but general electronic trading as well. These rules and regulations are the result of technological developments in electronic trading and more specifically, High-Frequency Trading and the practice of Payments for Order Flow. The question remains as to how deep regulations should go, especially in the case of HFT which can be severely affected by harsh regulatory requirements or procedures. Because two of the most important issues in HFT are time and information, some of the rules and regulations affect aspects such as not only what type of information and how it should be gathered, but also clock synchronisation and time-stamp granularity. Another issue that may be considered controversial in the field of HFT (although it is not a practice limited to HFT) is Payment For Order Flows. Under this mechanism, wholesale market makers pay brokers for their client’s order flow – a practice that performed in great amounts and at high speeds may give a considerable level of “inside” information. Regulations, especially from ESMA (MiFID II). try in great part to thus mitigate the practice of Payments For Order Flows.The aim of this paper is to present technological advancements in the field of trading communications used, not only by HFT firms, but also by exchanges. Additionally, the objective is to underline some challenges regarding regulatory changes that try to adapt to the current level of technology – for example, those related to clock synchronisation and data processing. One last issue brought forward is the possibility of converting markets from continuous-time auctions to discrete-time auctions - a concept that is aimed at liquidating the speed advantage and competition only to price level and hence, eliminating HFT advantages.

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Hidden and Fast Liquidity - Hidden Orders and High-Frequency Trading

e-Finanse ◽

10.2478/fiqf-2020-0004 ◽

2020 ◽

Vol 16 (1) ◽

pp. 27-35

Author(s):

Martins Carlos Jorge Lenczewski

Keyword(s):

High Frequency ◽

Current Knowledge ◽

Market Liquidity ◽

High Frequency Trading ◽

Specific Topic ◽

Literature Study ◽

Actual Knowledge ◽

Price Effects ◽

The Us ◽

Hidden Orders

AbstractThis work focuses on two of the more frequent practices in financial (especially capital) markets -the use of hidden orders and High-Frequency Trading (HFT). Although the use of each of them may reach 40% of the market turnover - even 60% for HFT, the actual knowledge on how they affect liquidity, prices, and market structure is still limited - especially if they are combined. The presence of both of these practices may look controversial, as it seems to be going in the opposite direction to what some of the goals that market regulators try to reach - transparency and increase of market liquidity. Additionally, their use suggests first, to give a clear advantage to some traders while not knowing the exact consequences to others. The aim of this paper is, by performing a literature study, to structure the current knowledge on a very specific topic in the area of market microstructure - the use of hidden orders and High-Frequency Trading. This paper tries to show the motivations, strategies, and eventual price effects behind hidden orders and High-Frequency Trading. It is also important to mention that this paper is based on scarce empirical research available (mainly for the US market) and as such, it is intended to encourage further analysis and research on this important topic.

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High-Frequency Financial Econometrics

10.23943/princeton/9780691161433.001.0001 ◽

2014 ◽

Cited By ~ 20

Author(s):

Yacine Aït-Sahalia ◽

Jean Jacod

Keyword(s):

High Frequency ◽

Practical Importance ◽

Financial Econometrics ◽

Trading Strategies ◽

Financial Data ◽

Jump Processes ◽

High Frequency Trading ◽

Microstructure Noise ◽

Econometric Methods ◽

Mathematical Foundations

High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. Over the last fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has been driven by the increasing availability of such data, the technological advancements that make high-frequency trading strategies possible, and the need of practitioners to analyze these data. This comprehensive book introduces readers to these emerging methods and tools of analysis. The book covers the mathematical foundations of stochastic processes, describes the primary characteristics of high-frequency financial data, and presents the asymptotic concepts that their analysis relies on. It also deals with estimation of the volatility portion of the model, including methods that are robust to market microstructure noise, and address estimation and testing questions involving the jump part of the model. As the book demonstrates, the practical importance and relevance of jumps in financial data are universally recognized, but only recently have econometric methods become available to rigorously analyze jump processes. The book approaches high-frequency econometrics with a distinct focus on the financial side of matters while maintaining technical rigor, which makes this book invaluable to researchers and practitioners alike.

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