Price limit performance: evidence from transactions data and the limit order book

In recent years, organized stock exchanges with daily price limits adopted wider limits as narrower limits were criticized for jeopardizing market efficiency. This study examines the impact of a wide price limit on price discovery processes, using data from the Kuala Lumpur Stock Exchange. Specifically, examined is the impact of daily price limits on (i) information asymmetry; (ii) arrival rates of informed traders; and (iii) order imbalance. Using both trade-to-trade transaction data and the limit order book, we compile evidence that price limits do not improve information asymmetry, delays the arrival of informed traders, and exacerbates order imbalance. These results suggest that price limits on individual securities do not improve price discovery processes but impose serious costs even when the limit band is as wide as 30%.     

Sequential information arrival in the Finnish stock index derivatives markets

This paper investigates the hypothesis of sequential information arrival in the Finnish stock index futures and options markets. With no short selling restrictions in the derivatives markets, no causality relationships between returns and trading volume are observed. However, by using the so-called call-put signal, based on call and put volumes, causality between returns and volume is found supporting the hypothesis of sequential information arrival. In addition, it is discovered that the increased volume in stock index options relative to index futures has significantly increased their importance in the intermarket price discovery process.     

Inferring Information Frequency and Quality

We develop a microstructure model that, in contrast to previousmodels, allows one to estimate the frequency and quality ofprivate information. In addition, the model produces stationaryasset price and trading volume series. We find evidence thatinformation arrives frequently within a day and that this informationis of high quality. The frequent arrival of information, whilein contrast to previous microstructure model estimates, accordswith nonmodel-based estimates and the related literature testingthe mixture-of-distributions hypothesis. To determine if theestimates are correctly reflecting the arrival of latent information,we estimate the parameters over half-hour intervals within theday. Comparison of the parameter estimates with measures ofpersistent price changes reveals that the estimates reflectthe arrival of latent information.     

Long-lived information and intraday patterns

This paper studies the effect of clustering of liquidity trades on intraday patterns of volatility and market depth when private information is long-lived. The assumption of long-lived information allows us to distinguish between the patterns of information arrival and information use. Our results are: (i) volatility follows the same pattern as liquidity trading, (ii) there are no systematic patterns in the price impacts of orders, and (iii) the timing of information arrival is unimportant. Result (i) is the same as that obtained by Admati and Pfleiderer (1988) in a model of short-lived private information, but (ii) and (iii) are different.     

Sidelined Investors, Trading-Generated News, and Security Returns

This article studies information blockages and the asymmetricrelease of information in a security market with fixed setupcosts of trading. In this setting, "sidelined" investors maydelay trading until price movements validate their private signals.Trading thereby internally generates the arrival of furthernews to the market. This leads to (1) negative skewness followingprice run-ups and positive skewness following price rundowns(even though the model is ex ante symmetric), (2) a lack ofcorrespondence between large price changes and the arrival ofexternal information, and (3) increases in volatility followinglarge price changes.     

Does Anticipated Information Impose a Cost on Risk‐Averse Investors? A Test of the Hirshleifer Effect

This paper theoretically and empirically investigates how the risk of future adverse price changes created by the anticipated arrival of information influences risk‐averse investors’ trading decisions in institutionally imperfect capital markets. Specifically, I examine how the selling activity of individual investors immediately following an earnings announcement is influenced by the tradeoff between risk‐sharing benefits of immediate trade and explicit transaction costs imposed on such trades. Consistent with my theoretically derived predictions, I find that investors’ current trading decisions are less sensitive to the incremental transaction costs created by short‐term capital gains taxes on trading profits, as both the duration and intensity of the risk of future adverse price changes increase. This evidence is consistent with an incremental cost to investors that results from the revelation of precise information, which is commonly referred to as the Hirshleifer Effect.     

An empirical analysis of the stock price-volume relationship

This paper investigates the empirical relationship between absolute stock price changes and trading volume in the stock market. Using Granger causality tests we find that there is a significant causal relationship between absolute price changes and volume at the firm level and that this relationship is stronger in periods surrounding earnings announcements. We view this as suggesting that information arrival follows a sequential rather than a simultaneous process, although the results do not support an extreme version of either information arrival model.     

Short-term investment and the informational efficiency of the market

A dynamic finite-horizon market for a risky asset with a continuumof risk-average heterogeneously informed investors and a risk-neutralcompetitive market-making sector is examined. The article analyzesthe effect of investors' horizons on the information contentof prices. It is shown that short horizons enhance or reduceaccumulated price informativeness depending on the temporalpattern of private information arrival. With concentrated arrivalof information, short horizons, reduce final price informativeness;with diffuse arrival of information, short horizons enhanceit. In the process a closed-form solution to the dynamic equilibriumwith long-term investors is derived.     

Macroeconomic announcements and price discovery in the foreign exchange market

This study shows that the dominance of the overlapping trading hours of London and New York in the price discovery of the EUR/USD and USD/JPY markets only applies on days with U.S. announcements. Different from Cai et al. (2008) and Wang and Yang (2011), we highlight the informational advantage of local traders at the arrival of macroeconomic announcements in the local market, and find that macroeconomic announcements affect the pattern of price discovery across different markets, consistent with Chen and Gau (2010) and Jiang et al. (2012). We also examine changes in information shares before and after the announcement. A significant increase in price discovery before the announcement suggests the possibility of information leakage, while enhanced price discovery efficacy after the announcement suggests that prices gradually adjust to new information, not just immediately respond to the arrival of announcements.     

Empty promises and arbitrage

Analysis of absence of arbitrage normally ignores payoffs instates to which the agent assigns zero probability. We extendthe fundamental theorem of asset pricing to the case of 'noempty promises' in which the agent cannot promise arbitrarilylarge payments in some states. There is a superpositive pricingrule that can assign positive price to claims in zero probabilitystates important to the market as well as assigning positiveprices to claims in the states of positive probability. Withcontinuous information arrival, no empty promises can be enforcedby shutting down the agent's subsequent investments once wealthhits zero.     

The Effect of Trading Halts on the Speed of Price Discovery

Trading halts are aimed at reducing information asymmetry by granting investors the opportunity to reassess trades upon arrival of new, substantial information. This study is the first to address the efficiency of the price discovery process with respect to time, i.e., the speed of adjustment to new information. A unique database allow us to conduct an event study analysis and measure the impact of trading halts on price discovery while controlling for content, operational and value effects. We find that information dissemination following trading halts is over 40% faster and that abnormal trading activity is positively related to the speed of price adjustment.     

Investor Attention and Time‐varying Comovements

This paper analyses the effect of an increase in market‐wide uncertainty on information flow and asset price comovements. We use the daily realised volatility of the 30‐year treasury bond futures to assess macroeconomic shocks that affect market‐wide uncertainty. We use the ratio of a stock's idiosyncratic realised volatility with respect to the S&P500 futures relative to its total realised volatility to capture the asset price comovement with the market. We find that market volatility and the comovement of individual stocks with the market increase contemporaneously with the arrival of market‐wide macroeconomic shocks, but decrease significantly in the following five trading days. This pattern supports the hypothesis that investors shift their (limited) attention to processing market‐level information following an increase in market‐wide uncertainty and then subsequently divert their attention back to asset‐specific information.     

Intraday Behavior of Stock Prices and Trades around Insider Trading

Our evidence indicates that insiders' trades provide significant new information to market participants and they are incorporated more fully in stock prices as compared to noninsiders' trades. We find that market professionals do not front-run insiders' trades. Both insiders' purchases and sales result in significant contemporaneous and subsequent price impact, while sales by large shareholders result in a contemporaneous stock price decline that is subsequently reversed. The arrival of insider purchases reverse the prevailing negative order imbalances from third party trades and lead to piggy-backing by market professionals resulting in subsequent market purchase orders as well as stock price increases.     

The Impact of Changes in the FTSE 100 Index

This paper investigates FTSE 100 index membership changes, which are determined quarterly by market capitalization and should have no information content. Return reversal around index additions and deletions suggests that buying (selling) pressure moves prices temporarily away from equilibrium, consistent with short‐term downward sloping demand curves. In contrast to widely reported results for the S&P 500, there is no evidence of permanent price effects. Further results suggest that investor awareness and monitoring due to index membership do not explain the price effects. There is statistically significant anticipatory trading in stocks that just fail to be promoted to the FTSE 100.     

Prospectus Earnings Forecasts and the Pricing of New Issues on the Unlisted Securities Market

This paper extends the primarily US based literature on management earnings forecasts to an investigation of the role of prospectus earnings forecasts (Pefs) on the pricing of new issues on the Unlisted Securities Market (USM) in the UK. The analysis finds that Pefs are no more biased but are significantly more accurate than time-series forecasts. In addition, traded prices of USM stocks immediately after flotation are found to be positively related to the information content (unexpected component) of the Pefs. There is, however, no evidence of a relationship between the information content of Pefs and the initial offer price of the USM stocks.     

What drives volatility persistence in the foreign exchange market?

We propose a new empirical specification of volatility that links volatility to the information flow, measured as the order flow in the market, and to the price sensitivity to that information. The time-varying market sensitivity to information is estimated from high-frequency data, and movements in volatility can therefore be directly related to movements in order flow and market sensitivity. Empirically, the model explains a large share of the long-run variation in volatility. Importantly, the time variation in the market's sensitivity to information is at least as relevant in explaining the persistence of volatility as the rate of information arrival itself. This may be evidence of a link between changes over time in the aggregate behavior of market participants and the time-series properties of realized volatility.     

Information Uncertainty and Stock Returns

There is substantial evidence of short‐term stock price continuation, which the prior literature often attributes to investor behavioral biases such as underreaction to new information. This paper investigates the role of information uncertainty in price continuation anomalies and cross‐sectional variations in stock returns. If short‐term price continuation is due to investor behavioral biases, we should observe greater price drift when there is greater information uncertainty. As a result, greater information uncertainty should produce relatively higher expected returns following good news and relatively lower expected returns following bad news. My evidence supports this hypothesis.     

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.     

The Effects of Inflation and Money Supply Announcements on Interest Rates

This paper examines the impact of the money supply and inflation rate announcements on interest rates. Survey data on expectations of the money supply and consumer and producer price indexes are used to distinguish anticipated and unanticipated components of the announcements. This distinction is used to test for the efficiency of the financial market response to the announcements of new information. The results indicate that the unanticipated components of the announced changes in the Producers Price Index and in the money supply have an immediate positive effect on short-term interest rates. The Consumer Price Index announcement has no apparent effect. There is no evidence of a delayed announcement effect. However, there is some indication of a liquidity effect of the money supply change on interest rates. This takes place when reserves are changing and several weeks prior to the information announcement.     

Does Shareholder Composition Matter? Evidence from the Market Reaction to Corporate Earnings Announcements

We examine whether institutional ownership composition is related to parameters of the market reaction to negative earnings announcements. When firms report earnings below analysts' expectations, the stock price response is more negative for firms with higher levels of ownership by momentum or aggressive growth investors. There is no evidence, however, that these institutions cause an “overreaction” to earnings news. Ownership structure is also related to trading volume and to stock price volatility on days around earnings announcements. Our findings are consistent with the idea that the composition of institutional shareholders effects stock price behavior around the release of corporate information.