Non-scheduled news arrival and high-frequency stock market dynamics: Evidence from the Australian Securities Exchange

An increasing number of market participants utilise news analytics software to comprehend the large amounts of unstructured data flowing through news-wires. Utilising original data from one such tool – Ravenpack – I examine the market reaction of leading Australian stocks to stock-specific news flow over an extended period. Unconditional analysis of key variables around 484,440 news items reveals distinct responses in market activity, volatility, bid-ask spreads and returns. The study confirms previous literature such that indicated relevance of news items is critical when identifying significant effects. In addition, the reaction of market activity, volatility and spreads is greatest for negative news. The findings are confirmed when controlling for market dynamics and cross-dependencies between variables in a high-frequency VAR model.     

Multimarket trading and liquidity: a transaction data analysis of Canada–US interlistings

We use transaction data for Toronto Stock Exchange (TSE) listed stocks to examine the impact on trading costs of the decision to interlist on a US exchange. We measure trading costs using both ‘posted’ bid-ask spreads and ‘effective’ bid-ask spreads that measure actual transaction prices relative to standing bid-ask quotes. After controlling for price level, trade size and trading volume effects, we find that overall posted and effective spreads in the domestic (TSE) market decrease subsequent to the interlisting. However, the decrease in trading costs is concentrated in those TSE stocks that experience a significant shift of total trading volume (TSE and US) to the US exchange after listing. We interpret this result in the context of theories of multimarket trading as a competitive response by TSE market makers to the additional presence of US market makers.     

Market structure and microstructure, in international interest rate futures markets

We examine the role of market structure in identifying microstructure features of the NYSE.Euronext-LIFFE STIR futures market by comparing the ability of two bid-ask spread component models to explain bid-ask spreads. These two models differ only in their assumptions about whether or not market makers are present. The period we analyze includes data from pit-based trading alongside electronic market data. We explore how market structure affects the way private information influences bid-ask spreads and return volatility. A second part of our study employs intraday correlation to investigate these links in greater depth, while a third part looks at how private information and trading noise contribute to price evolution.     

Automating german equity trading: Bid-ask spreads on competing systems

As a result of automating trading in the most active German stocks, data on bid-ask spreads on three competing system—IBIS, MATIS, and SEAQ International—have become available. The intraday pattern of spreads suggests a mid-session effect and a home-market effect. Contrary to what one might expect, the spreads for identical stocks differ substantially from system to system. Paradoxically, the system with the lowest spreads, MATIS, did not attract most of the volume. Actually, its market share declined. In an attempt to explain the MATIS paradox we hypothesize that bid-ask spreads compensate the market maker for a bundle of several transaction services of which providing immediacy is merely one. This complicates both national and international spread comparisons and has implications for the decomposition of observed bid-ask spreads.     

The optimal bid-ask price strategies of high-frequency trading and the effect on market liquidity

We propose a model for determining the optimal bid-ask spread strategy by a high-frequency trader (HFT) who has an informational advantage and receives information about the true value of a security. We employ an information cost function that includes volatility and the volume of the asset. Subsequently, we characterize the optimal bid-ask price strategies and obtain a stable bid-ask spread. We assume that orders submitted by low-frequency traders (LFTs) and news events arrive at the market with Poisson processes. Additionally, our model supports the trading of the two-sided quote in one period. We find that more LFTs and a higher exchange latency both hurt market liquidity. The HFT prefers to choose a two-sided quote to gain more profits while cautiously chooses a one-sided quote during times of high volatility. The model generates some testable implications with supporting empirical evidence from the NASDAQ-OMX Nordic Market.     

Price impact of block trades: the curious case of downstairs trading in the EU emissions futures market

Using high-frequency data from the European Climate Exchange (ECX), we examine the determinants of price impact of €21 billion worth of block trades during 2008–2011 in the European carbon market. We find that wider bid-ask spreads and volatility are characterised by a smaller price impact. Larger levels of price impact are more likely to occur during the middle of the trading day, specifically the four-hour period between 11 a.m. and 3 p.m., than during the first or final hours. Purchase block trades induce a relatively smaller price impact on price run-up, while sell block trades exhibit a larger price impact on price run-up. We conclude that block trades on the ECX induce less price impact than in equity or conventional futures markets, and that a significant proportion of the effects contradict findings on block trades in those markets; thus, we provide the first evidence of the curious bent to block trading in the European Union emissions trading scheme.     

Liquidity of the CBOE Equity Options

We examine the CBOE option market depth and bid-ask spreads. Absence of price effects surrounding large option trades suggests excellent market depth. However, bid-ask spreads for the CBOE options and the NYSE stocks are nearly equal, even though an average option is equivalent to less than half a stock plus borrowing. We explain this tradeoff between market depth and bid-ask spreads on the CBOE and the NYSE by differences in market mechanisms. We also show that the adverse-selection component of the option spread, which measures the extent of information-related trading on the CBOE, is very small.     

Microstructure and Seasonality in the UK Equity Market

This paper explores seasonality in the UK stock market. It examines the impact of alternative company year-ends on returns as well as seasonality in bid-ask spreads and trading activity variables including volume, number and size of trades. Consistent with the evidence elsewhere, seasonal variation in stock returns and trading activity is established although there is little evidence of a seasonal pattern in relative bid-ask spreads. Trading rules based on the seasonal patterns do not suggest that seasonality can be exploited to earn excess profits.     

Determinants of Trading Profits: The Liquidity Provision Decision

Theories show that liquidity provision implies negative contemporaneous correlation between trades and returns. Dealers on the Taiwan Stock Exchange are granted typical dealer trading advantages without obligations to provide liquidity and, thus, are ideal to test whether these advantages lead to voluntary liquidity provision (earning bid-ask spreads) or information trading (trading in the direction of the market). We find a strong positive correlation in aggregate, implying that these unrestricted dealers prefer information trading. We also find that smaller dealers are more likely to provide liquidity and that small-cap stocks (with larger bid-ask spreads) are more profitable for liquidity provision.     

Trading Patterns and Prices in the Interbank Foreign Exchange Market

The behavior of quote arrivals and bid-ask spreads is examined for continuously recorded deutsche mark-dollar exchange rate data over time, across locations, and by market participants. A pattern in the intraday spread and intensity of market activity over time is uncovered and related to theories of trading patterns. Models for the conditional mean and variance of returns and bid-ask spreads indicate volatility clustering at high frequencies. The proposition that trading intensity has an independent effect on returns volatility is rejected, but holds for spread volatility. Conditional returns volatility is increasing in the size of the spread.     

Liquidity skewness in the London Stock Exchange

We study liquidity on the London Stock Exchange. We find that the average bid-ask spread declines, but that the skewness of the spread increases. These results are robust to firm size, trading volume and price level. Our findings hold when the bid-ask spread is estimated utilising high frequency data. We find that the bid-ask spread prior to earnings announcements dates is significantly higher than that of post earnings announcements, suggesting that asymmetric information has driven the increase in liquidity skewness. We also find that the effect of earnings announcements is more pronounced in the 2007 global financial crisis, consistent with the notion that extreme market downturns amplify asymmetric information. Our overall evidence also implies that increased competition and transparent trading environments limit market makers' abilities to cross-subsidize bid-ask spreads between periods of high and low levels of asymmetric information.     

FURTHER EVIDENCE ON THE LIQUIDITY EFFECTS OF STOCK SPLITS AND STOCK DIVIDENDS

Currently, there is a limited amount of empirical evidence suggesting that stock splits are associated with a decline in trading liquidity. This evidence directly contrasts with managements' professed intentions for undertaking a split. The evidence to date, however, is of a short-run nature. This study reexamines the liquidity effects of stock splits and stock dividends by assessing both their short- and long-term effects on trading liquidity (i.e., proportional trading volume and percentage bid-ask spreads). The results suggest that stock dividends are associated with decreased proportional trading volume in both the short term and long term, but stock splits are not. The results also indicate that neither stock splits nor stock dividends have an effect on percentage bid-ask spreads.     

Trade Disclosure,Information Learning and Securities Market Performance

In this paper we examine the effect of information disclosure on securities market performance when liquidity traders are able to acquire information about inside trading. We show that the bid-ask spread increases with the liquidity trader's learning efficiency, which is greater when trade information is disclosed. The bid-ask spread is always higher when trade information is not disclosed. However, the discrepancy between the bid-ask spreads with and without information disclosure narrows when the learning efficiency increases. We also show that the gains of the informed traders in a market without trade information disclosure are reduced in the presence of the liquidity trader's learning. Nevertheless, liquidity traders do not necessarily benefit from increased transparency. In particular, liquidity traders may face higher trading costs.     

The intraday determination of liquidity in the NYSE LIFFE equity option markets

We exploit an extensive high-frequency data set of all individual equity options trading at New York Stock Exchange London International Financial Futures and Options Exchange (Amsterdam, London and Paris) in order to study the determination of liquidity during the trading day. In particular, we focus on two main aspects of option liquidity: (i) the intraday behaviour of equity option liquidity and its determinants and (ii) the influence of macroeconomic events and commonality on intraday equity option liquidity. Inventory management models cannot explain the intraday variation in option spreads and depths. Instead, we show that the option liquidity measures are strongly correlated with option volatility. Increases in volatility are associated with decreases in liquidity, a finding that is in line with information asymmetry models and the derivatives hedging theory. However, the relationship between spreads and volume varies across the three markets. Option liquidity reacts strongly to macroeconomic news announcements, especially US events. The average systematic liquidity component is 12% for Amsterdam, 14% for London and 16% for Paris.     

Internal control reporting and market liquidity

We investigate the impact of the Sarbanes-Oxley Act of 2002 (SOX) on information asymmetry by analyzing the relation between SOX Sections 302 and 404 control reports and market liquidity using bid-ask spreads. Lower market liquidity indicates higher levels of information asymmetry implying that market participants perceive financial statement misstatement risk is higher. If SOX disclosures contain relevant information, then one would expect firms reporting internal control material weaknesses to have lower market liquidity. Accordingly, we find that market liquidity is lower (i.e., bid-ask spreads are higher) for firms reporting ineffective control compared to firms reporting effective control using either annual SOX 404 internal control reports or quarterly SOX 302 disclosure control reports, which suggests that SOX 302 and 404 reports provide useful information for identifying firms with a higher risk of financial statement misstatement. However, we do not find consistent results using two alternative liquidity measures: trading volume and market quality indices. We then examine whether changes in control reports are associated with changes in market liquidity. We generally do not find that firms with improved (deteriorated) control reports experience a larger decrease (increase) in bid-ask spreads or larger increases (decreases) in trading volume and market quality indices compared to other firms, suggesting that market participants do not discern a change in information asymmetry when the effectiveness of internal controls over financial reporting changes.     

An empirical examination of the impact of market microstructure changes on the determinants of option bid-ask spreads

This paper examines the determinants of bid-ask spreads in the Australian Options Market before and after it switched from a quote-driven floor-traded market to an order-driven screen-traded market. This study reports that both put and call option bid-ask spreads are positively related to the option's value, its remaining term-to-maturity, its absolute hedge ratio and the volatility of returns from the underlying asset and negatively related to the level of trading activity in that option series. The study also reports that spreads are generally less when market makers are obliged to maintain continuous quotes in the market. The paper also finds that following the change in trading regime, both call and put option spreads became more sensitive to the absolute value of the option's delta. This finding is consistent with previous theoretical and empirical work from equities markets that has suggested that a switch to an electronic trading regime results in an increase in the adverse selection component of the bid-ask spread. There is also some limited evidence that suggests that the switch to electronic trading resulted in call option spreads being less sensitive to the return volatility of the underlying asset but more sensitive to the option's price.     

A simulation analysis of the microstructure of double auction markets

Abstract

We introduce an order-driven market model with heterogeneous agents trading via a central order matching mechanism. Traders set bids and asks and post market or limit orders according to exogenously fixed rules. We investigate how different trading strategies may affect the dynamics of price, bid-ask spreads, trading volume and volatility. We also analyse how some features of market design, such as tick size and order lifetime, affect market liquidity. The model is able to reproduce many of the complex phenomena observed in real stock markets.     

BID-ASK SPREAD AND OWNERSHIP STRUCTURE

In this paper we examine the relation between bid-ask spread and ownership structure variables based on 1985 data for 1,063 NYSE firms. We document a nonpositive relation between bid-ask spread and insider ownership and conclude that spread is unrelated to insider trading. We also find a robust significantly negative relation between spread and institutional ownership. Finally, we find a positive but generally insignificant relation between spread and blockholdings. Overall, our evidence does not support the predictions of asymmetric information models in markets with anonymous trading.     

INTRADAY CHANGES IN TARGET FIRMS' SHARE PRICE AND BID-ASK QUOTES AROUND TAKEOVER ANNOUNCEMENTS

This paper documents changes in share prices, bid-ask spreads, and quote sizes for target firms during the day a takeover proposal is announced. The mean 21.2 percent announcement-day return consists primarily of a 19.5 percent return at the announcement. There is little evidence that spreads increase before the announcement, except when trading is suspended because of an order imbalance. Quote sizes show some sign of decreasing just before the announcement. The quoted bid-ask spread and size increase immediately after the announcement, but spreads quickly return to normal.     

Dealer Markets Under Stress: The Performance of NASDAQ Market Makers During the November 15, 1991, Market Break

The liquidity of the NASDAQ market was seriously undermined during the crash on October 19, 1987, when bid-ask spreads widened dramatically and dealers reputedly withdrew from market making. This paper studies the liquidity of 36 NASDAQ issues on November 15, 1991, when average prices fell over 4%, representing the first major correction in the post-crash era. We find that bid-ask spreads, the percentage of dealers posting inside quotes, and trading volume remained virtually unaffected. Effective spreads were also largely unaffected, except for trades in excess of 1,000 shares among issues whose market makers avoided odd-eighth quotes. Our evidence implies that, unlike October 1987, the liquidity of the NASDAQ market did not deteriorate appreciably during this episode of unusual market stress.