High-frequency trading and institutional trading costs

Using data on Canadian bond futures, we examine how high-frequency traders (HFTs) interact with institutions building large positions. In contrast to recent findings, we find HFTs in the data act as small-sized liquidity suppliers, and we reject the hypothesis that they engage in back running, a predatory trading strategy. Using a quasi-experiment in November 2011, in which a number of HFTs started trading the bond future, we run a difference-in-differences event study and find more competition among HFTs improves implementation shortfall, effective spreads, and short-term price impacts for institutional trading in Canadian bond futures.     

Insider trading and risk aversion

This paper is a continuous time version of Holden and Subrahmanyam (Economics Letters 44 (1994) 181). The paper extends Kyle (Econometrica 53 (1985) 1315) by introducing risk aversion on the side of the monopolist informed trader and allows for the liquidity traders instantaneous demand to depend on cost of trading, as well as on the risk of the stock. The main result of the paper is that, in equilibrium, the price pressure decreases with time regardless of the elasticity of the liquidity demand function.     

Market liquidity and depth on two different electronic trading systems: A comparison of Bund futures trading on the APT and DTB

This paper investigates the liquidity of two different electronic trading systems – the APT system at LIFFE and the DTB system. First we describe the different characteristics of the trading systems and give potential reasons as to why they might differ in liquidity. Second we investigate empirically the liquidity provided by the two trading system. The comparison is especially interesting because the Bund Futures instruments traded are identical and the markets are open simultaneously. The intra-day data used in the study is from August 1997 to February 1998. The results show that the APT has smaller spread but the DTB is slightly deeper.     

Automated trading with boosting and expert weighting

We propose a multi-stock automated trading system that relies on a layered structure consisting of a machine learning algorithm, an online learning utility, and a risk management overlay. Alternating decision tree (ADT), which is implemented with Logitboost, was chosen as the underlying algorithm. One of the strengths of our approach is that the algorithm is able to select the best combination of rules derived from well-known technical analysis indicators and is also able to select the best parameters of the technical indicators. Additionally, the online learning layer combines the output of several ADTs and suggests a short or long position. Finally, the risk management layer can validate the trading signal when it exceeds a specified non-zero threshold and limit the application of our trading strategy when it is not profitable. We test the expert weighting algorithm with data of 100 randomly selected companies of the S&P 500 index during the period 2003–2005. We find that this algorithm generates abnormal returns during the test period. Our experiments show that the boosting approach is able to improve the predictive capacity when indicators are combined and aggregated as a single predictor. Even more, the combination of indicators of different stocks demonstrated to be adequate in order to reduce the use of computational resources, and still maintain an adequate predictive capacity.     

Information asymmetry, speculation and foreign trading activity: Emerging market evidence

This paper provides evidence on the relation between private-information-based trading and foreign trading activity on the Istanbul Stock Exchange (ISE). We use a recently developed model that utilizes information in volume-return dynamics of individual stocks and show that variables such as size and Tobin's Q explain the extent of speculative activity across firms traded on the ISE. We present evidence supporting the notion that foreign trading activity is associated with informed trading on the ISE. Implications of our findings for emerging markets research are also discussed.     

Pairs trading

‘Pairs Trading’ is an investment strategy used by many Hedge Funds. Consider two similar stocks which trade at some spread. If the spread widens short the high stock and buy the low stock. As the spread narrows again to some equilibrium value, a profit results. This paper provides an analytical framework for such an investment strategy. We propose a mean-reverting Gaussian Markov chain model for the spread which is observed in Gaussian noise. Predictions from the calibrated model are then compared with subsequent observations of the spread to determine appropriate investment decisions. The methodology has potential applications to generating wealth from any quantities in financial markets which are observed to be out of equilibrium.     

A change in market microstructure: the switch to electronic screen trading on the New Zealand stock exchange

The New Zealand Stock Exchange (NZSE) switched from open outcry trading to an electronic screen trading system on June 24, 1991. The change was made by the members of the exchange to improve the trading system and to reduce costs. This paper investigates empirically whether improvement was achieved through a reduction in transaction costs. The tests and results focus on order-flow migration to the exchange from alternative execution locations and changes in bid-ask spreads. On balance, we conclude that transaction costs have declined.     

Insolvency law reform in Australia and Singapore: Directors' liability for insolvent trading and wrongful trading

This article compares reforms to directors' liability for insolvent trading in Singapore and in Australia. We analyse the law in these two countries because they are important Asia‐Pacific trading partners and their laws were originally largely the same—Singapore's law on insolvent trading reflected the law in Australia from the 1960s. However, the law in the two countries has now diverged substantially. The comparison of these two countries therefore represents an interesting case study in how countries differ in their approaches to balancing the competing interests evident in laws that impose personal liability on company directors for insolvent trading. Reform of the prohibition against insolvent trading was a focus of Australia's insolvency law reforms in 2017, which led to the introduction of a safe harbour for directors from liability. Singapore's omnibus insolvency law reforms of 2018–19 include amendments to update Singapore's fraudulent and insolvent trading provisions by introducing a concept of “wrongful trading.” The article finds that there are some areas of convergence between these two jurisdictions when it comes to debates about such provisions but concludes that the different contemporary legislative histories in Australia and Singapore have affected their approaches to reform. Reformers in both jurisdictions have attempted to find an appropriate balance between protecting creditors, discouraging director misconduct, and encouraging entrepreneurship and innovation; however, this comparison suggests that the weight that reformers place on creditor protection compared with the concern that excessive personal liability can make directors unduly risk‐averse is influenced by their existing legislative framework and experience of those laws. Although Australia has shifted away from a strict focus on creditor protection, to give directors more opportunities to engage in restructuring, Singapore's amendments may provide a more creditor‐friendly regime.     

Strategic trading and learning about liquidity

Many practitioners point out that the speculative profits of institutional traders are eroded by the difficulty in gauging the price impact of their trades. In this paper, we develop a model of strategic trading where speculators face such a dilemma because of incomplete information about time-varying market liquidity. Unlike the competitive market makers that they trade against, informed traders do not know the distribution of liquidity (“noise”) trades. Instead, they have to learn about liquidity from past prices and trading volume. This learning implies that strategic trades and market statistics such as informational efficiency are path-dependent on past market outcomes. Our paper also has normative implications for practitioners.     

Entry, exit and trading profits: A look at the trading strategies of a proprietary trading team

We examine the behavior of a 15 strong proprietary stock trading team and show how consistent intraday trading profits were generated. The team, who worked for a large US direct access trading firm, executed over 96 thousand trades in 3 months in 2000. Profitable intraday trading occurred in an anonymous dealer capacity, on both long and short positions, especially when volume and price volatility were higher. The traders rapidly entered long (short) positions when the number of dealers and size become greater on the bid (offer) side of the spread. Profits were taken early against the trend.     

全球外汇衍生品交易的发展特点及启示

该文根据国际清算银行对全球外汇衍生品交易的调查统计情况,对全球外汇衍生品交易及主要交易货币的在岸与离岸外汇衍生品交易的发展特点进行了归纳,以期为国内外汇衍生品市场的发展提供借鉴。文章指出,结合本国汇率和资本项目管理体制改革逐步取消外汇衍生品交易的实需原则,有利于在维护金融稳定的前提下进一步发展本国的外汇衍生品市场。     

High-frequency trading and stock liquidity: An intraday analysis

This paper studies the impact of high-frequency trading (HFT) on intraday liquidity of CAC40 stocks listed on Euronext. Spreads display an intraday L-shaped pattern, while quoted depth follows an inverse pattern: low at the open and increasing towards the end of the trading day. When liquidity demand is particularly high, there is a high rate of order cancellations attributable to high-frequency traders who use frequent order cancellations to strategically manage their limit orders and close positions near the market close. Using the generalized method of moments estimator, we generate strong evidence that greater intensity of HFT is associated with lower spreads and higher depth. The positive effect of HFT on liquidity is due mainly to decreased adverse selection costs arising from asymmetric information among market participants.     

积极参与市场交易共促外汇市场繁荣

2008年2月26日,中国外汇交易中心发布2007年度银行间外汇市场优秀做市商、优秀会员和优秀交易员名单。根据此次评选,交通银行荣获最佳交易规范奖、交易优秀奖两个奖项。该行自成为做市商以来,一直严格执行相关法规规定在外汇市场上诚实交易,其规范的做市行为值得肯定;在充分肯定外汇交易中心开展评优活动的同时,该行也对银行间外汇市场的发展提出相关建议。     

Knowing me, knowing you: : Trader anonymity and informed trading in parallel markets

In this paper we empirically analyze whether the degree of trader anonymity is related to the probability of information-based trading. We use data from the German stock market where non-anonymous traditional floor based exchanges co-exist with an anonymous computerized trading system. We use an extended version of the Easley et al. (J. Finance 51 (1996) 1405) model that allows for simultaneous estimation for two parallel markets. We find that the probability of informed trading is significantly lower in the floor based trading system. We further document that the size of the spread and the adverse selection component are positively related to the estimated probabilities of information-based trading.     

Insider trading and future stock returns in firms with concentrated ownership levels

We investigate the relationship between insider trading and stock returns in firms with concentrated ownership. To this end, we employ data from East Asian countries which span the period January 2003 to May 2012. Consistent with the previous literature, we find a significantly negative relation between the selling activity of insiders and stock returns. However, contrary to studies which focus on highly developed markets, we find that the buying activity of insiders is also inversely related to future stock returns. Our analysis shows that top directors with higher ownership levels drive this result, suggesting that the trading activity of insiders is not always associated with profit-making motives and can be explained by their level of ownership. Furthermore, we demonstrate that a trading strategy which focuses solely on purchases made by top directors with high ownership levels yields negative returns. The paper has important implications for outside investors who mimic the trading activity of insiders with the aim to realise profits.     

Trading performance and market efficiency: Evidence from algorithmic trading

In India, National Stock Exchange directly identifies algorithmic trading participation. Algorithmic traders possess intraday market timing skills. Results are not motivated by extreme short-term signals or transitory price trading. Magnitude of market timing performance in cross-sectional group of traders shows that they earn profit across all the cases, and maximize while providing liquidity. Volume-weighted-average-price decomposition analysis reports algorithmic traders earn profits through intraday market timing performance for five-minute and one-minute intervals, and it is higher compared to short-term market timing performance across all trader groups. Order imbalance and price delay regressions show that algorithmic trading significantly improves price efficiency.     

Insider trading with correlation between liquidity trading and a public signal

We analyse a Kyle-type continuous-time market model in which liquidity trading is correlated with a noisy public signal that is released continuously. We show that, in contrast to the previous literature, Kyle's λ, the price sensitivity to the order flow, can even be non-monotonic, depending on the correlation structure. We also show that the introduction of an additional public signal does not necessarily improve the informational efficiency of the market, depending on the correlation.     

TSFDC: A trading strategy based on forecasting directional change

Directional Change (DC) is a technique to summarize price movements in a financial market. According to the DC concept, data is sampled only when the magnitude of price change is significant according to the investor. In this paper, we develop a contrarian trading strategy named TSFDC. TSFDC is based on a forecasting model which aims to predict the change of the direction of market's trend under the DC context. We examine the profitability, risk and risk‐adjusted return of TSFDC in the FX market using eight currency pairs. The results suggest that TSFDC outperforms the buy and hold approach and another DC‐based trading strategy.     

Information trading by corporate insiders based on accounting accruals: forecasting economic performance

In this paper, we test whether directors’ (corporate insiders) trading in Australia, based on accounting accruals, provides incremental information in forecasting a firm's economic performance. We determine that directors’ trading on negative accruals in larger firms has greater forecasting content and is associated with 1‐year‐ahead bull market phases. Moreover, arbitrage portfolios set up to mimic insider trading can earn 1‐year‐ahead excess size‐adjusted arbitrage returns of up to 12.2 per cent. Results are consistent with directors hiding their trades in liquid well‐traded firms and in providing incremental information above that supplied by a continuous information regime.     

Disagreement and equilibrium option trading volume

Using a complete market equilibrium model, we present results concerning the effect disagreement has on equilibrium option trading volume and positioning. We find that if agents agree on volatility, total option volume is independent of wealth distribution and average optimism. We also find option volume increasing in drift disagreement and decreasing in risk aversion and volatility. Pessimists are shown to write most options. With volatility disagreement, the results are less clear; however, we show agents with high volatility beliefs write deep out of the money options and buy close to the money options. Numerical comparative statics are also performed. This revised version was published online in June 2006 with corrections to the Cover Date.