This paper proposes the Shannon entropy as an appropriate one-dimensional measure of behavioural trading patterns in financial markets. The concept is applied to the illustrative example of algorithmic vs. non-algorithmic trading and empirical data from Deutsche Börse's electronic cash equity...

Liquidity suppliers lean against the wind. We analyze whether high-frequency traders (HFTs) lean against large institutional orders that execute through a series of child orders. The alternative is HFTs trading "with the wind," that is, in the same direction. We find that HFTs initially lean...

In this research, we test whether common trading oscillators can outperform the buy-and-hold strategy (B&H) using six popular ETFs for the period of the last 20 years. We use the original setups of those oscillators and also other setups or oscillators combinations in order to achieve the best...

I develop a multi-period trading model to analyze how a fundamental trader adjusts his trading strategies and information production decisions to the existence of high frequency trading (HFT). I show that these decisions differ strongly depending on the type of information that the HFT can...

After exchanges and alternative trading venues have introduced electronic execution mechanisms worldwide, the focus of the securities trading industry shifted to the use of fully electronic trading engines by banks, brokers and their institutional customers. These Algorithmic Trading engines...

Technical trading strategies assume that past changes in prices help predict future changes. This makes sense if the past price trend reflects fundamental information that has not yet been fully incorporated in the current price. However, if the past price trend only reflects temporary pricing...

In this paper, we investigate the role of proprietary algorithmic traders in facilitating liquidity in a limit order market. Using the order level data from National Stock Exchange of India, we find that they increase limit order supply following periods of high short-term volatility or periods...

In the following paper we analyze the strategic competition between fast and slow traders. The model of Kyle (1985) is adapted to analyze the effect of speed in such a model. A High Frequency Trader (HFT) is defined as a trader that has the ability to react to information faster than other...

We investigate the role algorithmic trading (AT) on days when the absolute value of the market return is more than two percent. We find that the abnormal return of a stock is related to the stock's AT intensity, that high AT intensity stocks experience less price drops (surges) on days when the...

Using a change in regulatory fees in Canada in April, 2012, that affected predominantly high-frequency market makers (HFMMs), we analyze the causal impact of their activity on trading costs. The message fee caused the number of trades, quotes, and cancellations to drop by 30% driven by a...