The Effect of Sequential Information Arrival on Asset Prices: An Experimental Study

A complete understanding of security markets requires a simultaneous explanation of price behavior, trading volume, portfolio composition (ie., asset allocation), and bid-ask spreads. In this paper, these variables are observed in a controlled setting—a computerized double auction market, similar to NASDAQ. Our laboratory allows experimental control of information arrival—whether simultaneously or sequentially received, and whether homogeneous or heterogeneous. We compare the price, volume, and share allocations of three market equilibrium models: telepathic rational expectations, which assumes that traders can read each others minds (strong-form market efficiency); ordinary rational expectations, which assumes traders can use (some) market price information, (a type of semi-strong form efficiency); and private information, where traders use no market information. We conclude 1) that stronger-form market models predict equilibrium prices better than weaker-form models, 2) that there were fewer misallocation forecasts in simultaneous information arrival (SIM) environments, 3) that trading volume was significantly higher in SIM environments, 4) and that bid-ask spreads widen significantly when traders are exposed to price uncertainty resulting from information heterogeneity.     

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.     

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.     

INFORMED TRADING RISK AND BID-ASK SPREAD CHANGES AROUND OPEN MARKET STOCK REPURCHASES IN THE NASDAQ MARKET

Microstructure theory contends that dealers' bid-ask spreads should vary intertemporally with changes in the asymmetric information component of the spread. Corporate theory suggests that stock repurchase announcements signal management's private information to the securities markets. An examination of dealers' spread behavior around firms' open market repurchases in the NASDAQ market reveals a decline in spreads adjusted for dealers' inventory-holding and order-processing costs. This decline is attributed to a reduction in informed trading risk associated with the open market repurchase announcements.     

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.     

Price Formation and Liquidity in the U.S. Treasury Market: The Response to Public Information

The arrival of public information in the U.S. Treasury market sets off a two-stage adjustment process for prices, trading volume, and bid-ask spreads. In a brief first stage, the release of a major macroeconomic announcement induces a sharp and nearly instantaneous price change with a reduction in trading volume, demonstrating that price reactions to public information do not require trading. The spread widens dramatically at announcement, evidently driven by inventory control concerns. In a prolonged second stage, trading volume surges, price volatility persists, and spreads remain moderately wide as investors trade to reconcile residual differences in their private views.     

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.     

When machines read the news: Using automated text analytics to quantify high frequency news-implied market reactions

We examine high-frequency market reactions to an intraday stock-specific news flow. Using unique pre-processed data from an automated news analytics tool based on linguistic pattern recognition we exploit information on the indicated relevance, novelty and direction of company-specific news. Employing a high-frequency VAR model based on 20 s data of a cross-section of stocks traded at the London Stock Exchange we find distinct responses in returns, volatility, trading volumes and bid-ask spreads due to news arrivals. We show that a classification of news according to indicated relevance is crucial to filter out noise and to identify significant effects. Moreover, sentiment indicators have predictability for future price trends though the profitability of news-implied trading is deteriorated by increased 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 role of private information in return volatility,bid–ask spreads and price levels in the foreign exchange market

Trading volume and order flow have both been closely associated with informed trader activity in the market microstructure literature. Using theory that explains regular intraday patterns in trading data, we transform these two variables into proxies for private information and examine their relationships with bid–ask spreads and return volatility. We use a unique and unusually rich high-frequency intraday dataset from the world's largest financial market, namely, the electronic inter-dealer spot foreign exchange market. Our analysis takes account of institutional features peculiar to this order-driven market. Our empirical results strongly affirm our theoretical understanding of how these markets work. They also reveal how the structure of the inter-dealer spot FX market affects exchange rate volatility. Finally, we also explore how private information contributes to the evolution of prices.     

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.     

Competition, interlisting and market structure in options trading

This paper applies a game theory approach to examine the effects of a market structure change in options trading from a monopoly to a Cournot-type oligopoly that occurred in two successive periods on the Montreal exchange. We analyze the intra-day behaviour of option bid-ask spreads and find that cross-listing has a differential impact on spreads, affecting quoted but not effective spreads under oligopoly. We also find that the impact of the change in structure on effective spreads comes mostly from an increase in limit orders and is consistent with a switch from Cournot to Bertrand-type strategic behaviour for such orders. We conclude that market structure effects within an options exchange are enough to realize most of the benefits of inter-market competition even in the context of market thinness.     

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.     

Eliminating the 20-F reconciliation from IFRS to U.S. GAAP: Short-term and long-term liquidity effects

This paper examines the effects of the SEC’s 2008 decision to no longer require foreign private issuers using IFRS and trading on U.S. exchanges to reconcile their financial statements to U.S. GAAP. Extant research has found conflicting results using short event windows, while studies using longer event windows have found limited capital market impact from eliminating the reconciliation. Motivated by the SEC’s interest in understanding how disclosure rules impact market liquidity, we examine changes in effective bid-ask spreads, the price impact of trades, and quoted depth around 20-F filing dates for a sample of foreign private issuers. We find that effective spreads increase more around 20-F filing dates for filers using IFRS than for filers using U.S. GAAP, suggesting the 20-F report is more informative for filers using IFRS. We then find, in a subsample of filers using IFRS, that the increase in effective spreads for IFRS firms around 20-F filing dates is directly related to the magnitude of differences in book values between IFRS and U.S. GAAP. In sum, our results suggest a loss of useful information after the SEC’s rule change.     

Insider Trading in the OTC Market

In this paper, we examine the profitability of insider trading in firms whose securities trade in the OTC/NASDAQ market. Although the evidence suggests timing and forecasting ability on the part of insiders, high transaction costs (especially bid-ask spreads) appear to eliminate the potential for positive abnormal returns from active trading. By implication, outside investors who mimic the trading of insiders are also precluded from earning abnormal profits. In addition, we provide evidence on the determinants of insiders' profits. The data suggest that insiders closer to the firm trade on more valuable information than insiders removed from the firm.     

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.     

Information Asymmetry Around Earnings Announcements

This study examines bid-ask spreads to determine how the anticipation and release of earnings announcements affect information asymmetry in the stock market. I use regression analysis and find that bid-ask spreads are negatively related to public information availability and positively related to earnings variability and the market reaction to prior unexpected earnings. The results suggest that firms for which earnings is expected to yield a relatively larger stock market reaction have greater information asymmetry than firms for which earnings are expected to yield a smaller market reaction.I also find that bid-ask spreads gradually increase in the four days prior to earnings announcements, and increase sharply the day prior to, the day of and the day after the earnings announcements. Bid-ask spreads seven to ten days after earnings announcements are not significantly different from bid-ask spreads seven to ten days prior to earnings announcements.     

Liquidity determination in an order-driven market

We exploit full order level information from an electronic FX broking system to provide a comprehensive account of the determination of its liquidity. We not only look at bid-ask spreads and trading volumes, but also study the determination of order entry rates and depth measures derived from the entire limit order book. We find strong predictability in the arrival of liquidity supply/demand events. Further, in times of low (high) liquidity, liquidity supply (demand) events are more common. In times of high trading activity and volatility, the ratio of limit to market order arrivals is high but order book spreads and depth deteriorate. These results are consistent with market order traders having better information than limit order traders.     

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.     

金融期货最小价格变化单位的市场影响与最优水平

最小价格变化单位是买卖价差的底线，设置过高会人为地提高买卖价差的水平，增加交易费用；过低又会降低市场深度，增加交易谈判成本，影响交易效率。对最优价格升降档位的设定，要综合考虑精度要求、合约乘数、交易谈判成本和实际买卖价差水平等因素；而以实际买卖价差的底线作为最小价格升降档位，能较好地避免人为抬高买卖价差的情况出现。