HFT around large II orders

When high-frequency traders (HFTs) enter markets, the bid-ask spread declines. Several academic studies have reported such a result. Investors pay less for each market order they send. All good and everyone happy. 

Everyone?

Vincent van Kervel and Albert J. Menkveld have done the research and present the facts in a well written paper. There is also the blog by Albert Menkveld This paper is good, and often much needed, factual input for discussions about market structure.

Ultra-Fast Activity and Market Quality

Abstract:

"We use order and trade messages sent to NASDAQ, every March 2005–2013, to build a measure of ultra-fast activity (UFA) which captures the times when trading algorithms are most active. Our results suggest, quite consistently, that UFA is associated with lower liquidity in stock markets. An increase in UFA leads to greater quoted and effective spreads and lower depth posted in the limit order book. For example, in 2013 we find that a 1 standard deviation increase in our measure of UFA is associated with a 0:13 standard deviation increase in the quoted spread. UFA causes similar increases in effective spreads and also reduces quoted depth. Finally, the effect of UFA is also economically significant. For example, in March 2013 the effect of a one standard deviation in UFA generated on average an increase of between 3 and 6 percent in the quoted spread and effective spreads, as well as a drop of between 3 and 4 percent for depth measured close to the best bid and ask prices."

Click here to find the study.

The new stock market; sense and nonsense

Abstract:      

How stocks are traded in the United States has been totally transformed. Gone are the dealers on NASDAQ and the specialists at the NYSE. Instead, a company’s stock can now be traded on up to sixty competing venues where a computer matches incoming orders. A majority of quotes are now posted by high-frequency traders (HFTs), making them the preponderant source of liquidity in the new market.

Many practices associated with the new stock market are highly controversial, as illustrated by the public furor following the publication of Michael Lewis’s book Flash Boys. Critics say that HFTs use their speed in discovering changes in the market and in altering their orders to take advantage of other traders. Dark pools – off-exchange trading venues that promise to keep the orders sent to them secret and to restrict the parties allowed to trade – are accused of operating in ways that injure many traders. Brokers are said to mishandle customer orders in an effort to maximize the payments they receive in return for sending trading venues their customers’ orders, rather than delivering best execution. 

In this paper, the researchers set out a simple, but powerful, conceptual framework for analyzing the new stock market. The framework is built upon three basic concepts: adverse selection, the principal-agent problem, and a multi-venue trading system. We illustrate the utility of this framework by analyzing the new market’s eight most controversial practices. The effects of each practice are evaluated in terms of the multiple social goals served by equity trading markets.  

They ultimately conclude that there is no emergency requiring immediate, poorly-considered action. Some reforms proposed by critics, however, are clearly desirable. Other proposed reforms involve a tradeoff between two or more valuable social goals. In these cases, whether a reform is desirable may be unclear, but a better understanding of the tradeoff involved enables a more informed choice and suggests where further empirical research would be useful. Finally, still other proposed reforms are based on misunderstandings of the market or of the social impacts of a practice and should be avoided.

The study can be found here.

 

The role of HFT in Order Book Resiliency

This paper from the Goethe institute in Frankfurt explores limit order book resiliency following liquidity shocks in the presence of high-frequency trading firms.

Based on a unique data set that enables the identification of orders submitted by algorithmic traders and subscribers of co-location services, they studied whether high-frequency traders are involved in the reconstruction of the order book.

The researchers analyzed order submission and deletion activity before and after a liquidity shock initiated by a large market order. The results show that exclusively HFT reduces the spread within the first seconds after the market impact making use of their speed advantage. However, liquidity recovery in terms of order book depth takes significantly longer and is accomplished by human traders' submission activity only.

Read the full study here

HFT with online learning

In this study, the author proposes an optimization framework for market-making in a limit-order book, based on the theory of stochastic approximation. The idea is to take advantage of the iterative nature of the process of updating bid and ask quotes in order to make the algorithm optimize its strategy on a trial-and-error basis (i.e. on-line learning). An advantage of this approach is that the exploration of the system by the algorithm is performed in run-time, so explicit specifications of the price dynamics are not necessary, as is the case in the stochastic-control approach.

Read the full study here

High-Frequency Trading and Its Role in Fragmented Markets

In this study, conducted by Martin Haferkorn of the Goethe University in Frankfurt, the researchers looked into the effect HFT had on price dispersion in fragmented markets. For this, they compared long term blue chip data from Euronext Paris, Deutsche Boerse and BATS-CHi-X to measure the effect of investments made in IT infrastructure (HFT trading).

The conclusion is that HFT increases market efficiency and that the introduction of the German HFT act increased price dispersion between BATS-Chi-X and Deutsche Boerse in blue chip stocks

Read the full study here

Study on price pressure and liquidity providing

It's nice when providers of academic research have their own blog to outline and summarize their papers. Albert Menkveld, professor in Finance at the VU in Amsterdam has a let's say "Zen" designed blog and saves us the trouble of writing a long article ourselves. So click here for the abstract from the blog and in there, the related study.