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This study investigates the impact of the enhanced continuous disclosure regime introduced in December 2002 on several measures of information risk in NZX‐listed stocks. We employ two microstructure models and an intraday data set to measure information risk in a sample of 71 stocks. Our empirical results show that the reforms enacted in December 2002 had no significant effect on either the level of information‐based trading or the adverse selection component of market spreads in our sample of NZX‐listed stocks.

This paper aims to propose a method of forecasting the level of informed trading at merger announcements by permitting liquidity traders to adjust their trading based upon signals from informed traders. Informed traders typically take advantage of their knowledge of forthcoming mergers by trading heavily at announcement. For cash mergers, they respond to a positive signal by purchasing stock, and for stock mergers, they respond to a negative signal by selling stock. In response, exchanges (market makers) set wider spreads (charge higher transaction fees) for informed buyers. Uninformed traders are subject to such excessive fees unless they can accurately predict the period during which such fees are charged.

This paper proposes a technique by which uninformed traders may make predictions by creating a vector autoregressive framework that links informed and liquidity trading through price changes.

For cash mergers, transaction fees remained excessive for days −1 to +1. For stock mergers, fees remained high on days −1 to +1, started declining on days 2 and 3, and vanished on days 4 and 5.

Most theoretical models of informed trading have viewed informed trading and liquidity trading as tangentially linked. This study finds a direct link between these two trading activities.

Uninformed traders may wish to limit their trading until after day +1 for both types of mergers.

This paper defines the time period during which transactions costs for traders are at the maximum level. Short sellers have more information about the direction of stock movements and may sell during days of informed selling set forth by this study and repurchase stock afterwards.

We propose a novel method of forecasting the level of informed trading at merger announcements. Informed traders typically take advantage of their knowledge of the forthcoming merger by trading heavily at announcement. They trade on positive volume or informed buys for cash mergers and negative volume or informed sells for stock mergers. In response, market makers set wider spreads and raise prices for informed buys and lower prices for informed sells. As liquidity traders trade on these prices, our vector autoregressive framework establishes the link between informed trading and liquidity trading through price changes. As long as the link holds, informed trading may be detected by measuring levels of liquidity trading. We observe the link during the −1 to +1 period for cash mergers and −1 to +5 period for stock mergers.

The purpose of this paper is to examine US equity traders’ use of market orders versus price contingent orders with respect to information content.

Price changes following market and price contingent order submissions are analysed.

It is found that prices rise (decline) after the submission of market buy (sell) orders; whereas, prices decline (rise) after the submission of price contingent buy (sell) orders. Aggressively priced limit orders (i.e. marketable limit orders) convey information, but they are not more informative than market orders. Traders who transact in smaller quantities, engage in more short‐selling, and frequently achieve better performance are more likely to use market orders.

In contrast to prior studies, the paper's findings suggest that, when executing orders, informed traders have a preference for bearing a price rather than an execution risk.

This paper is aimed to investigate the impact of different categories of traders on price and volume durations at Euronext Paris. The two series are respectively related to the instantaneous volatility and the market liquidity; hence, they are particularly suited to test microstructure hypotheses.

A Log-autoregressive conditional duration model was adopted to include the information on the traders’ identity at the transaction level. High-frequency data were used and how the informed traders and the liquidity provider affect the arrival of market events was studied. The robustness of our results was also checked by testing different distributions and controlling for microstructure effects.

It was found that informed traders and the liquidity provider exert a dominant role in accelerating the market activity. This result depends on the state of the market, i.e. it is effective only during periods of high frequency of transactions. The estimates for price durations show that a high instantaneous volatility can be mainly ascribed to a great concentration of informed traders. Informed traders are also found to shorten volume durations by clustering small-size orders to disguise their private signal. For both durations, the liquidity provider is also found to foster the market activity, likely because of his contractual duties.

The article is of interest for researchers in the field of market microstructure, as well as for specialists in the high-frequency trading. Results provide an empirical confirmation of information models which theorize an accelerating effect for informed trading. To the best of the authors’ knowledge, this is the first contribution to study the impact of traders’categories at the transaction level and with different definitions of durations.

Prior research posits that traders with short-lived information favor lit exchanges over dark pools due to execution certainty. This paper aims to focus on the relation between informed trading based on firm fundamentals and dark pool volume because the preferred venue for traders with longer-lived information is less certain.

The authors examine the effect of short interest, a proxy for informed traders with long-lived information, on dark pool volume using fixed effects, first difference and instrumental variable approaches. They examine the effect of dark pools on the profitability of long-lived information using market- and characteristic-adjusted returns.

The proportion of trading volume executed in dark pools is positively correlated with short interest. This result is stronger for stocks that suffer from greater uncertainty and stocks targeted by transient institutional investors. Short sellers profit substantially from their information as subsequent returns are lower for heavily shorted stocks with greater dark pool volume.

In 2014, the Financial Industry Regulatory Authority began making trading data available for dark pools. Before that, only limited information was publicly available. The authors use that data to shed more light on dark pools activity.

The evidence presented in the paper helps inform the current discussion about the role and regulation of dark pools.

This is the first study to show that informed traders with long-lived information favor dark pools due to their opacity and the possibility of price improvement.

In this paper, the authors examine options trading in firms that soon become rumored takeover targets. This study also examines whether measures of informed trading can predict target returns (upon rumor announcement and over the post-rumor period) and/or predict which rumors lead to bids. The authors further assess whether the informed trading they observe is more prevalent in the options market or the equity market.

This study calculates abnormal options volume using a market-model approach that accounts for different attributes of options trading. The authors construct a control sample and compare equity options trading of firms in their sample with that of the control sample. In addition, the authors fit a series of regressions to examine whether pre-rumor abnormal options trading can predict rumor accuracy in a multivariate setting.

The authors find that the volume of options traded is abnormally high over the pre-rumor period while the direction of option trades (abnormal call volume minus abnormal put volume) prior to takeover rumors predicts forthcoming takeover announcements, rumor date target firm returns and post-rumor target firm returns. The results are robust when controlling for publicly available information, when using a control sample, and when using alternative measures of informed trading.

This study is the first to provide evidence of informed options trading prior to a broad sample of takeover rumors. In addition, this study contributes to the literature on takeover predictability and profitability by showing that various pre-rumor measures of informed options trading significantly predict bid announcements. The authors also contributes to the literature on price discovery by providing evidence that informed investors are more likely to trade in the options market than in the equity market during the pre-event period.

The purpose of this paper is to investigate IPO performance. At announcement, the impact of purchases by informed traders on stock returns and uninformed traders on volatility were assessed. In the post-IPO period, returns were expected to be driven by firms with high returns on equity and the implementation of growth strategies. Return on equity was evaluated further in terms of whether it had a direct effect or was instrumented by volatility, cash flow, profit margin or revenue growth.

All IPOs announced in 2009-2014 were used. Measures were created to demarcate growth firms from risk-averse firms and firms with highly volatile cash flows from their counterparts with cash flows of lesser volatility. Event studies were used to measure abnormal return and abnormal volume, while multiple regressions tested the influence of predictors on abnormal returns, volatility and holding period return. Instruments of return on equity were also assessed.

The offer volume of informed traders significantly explained announcement-day returns, while the offer volume of uninformed traders explained the increase in volatility of IPO stock. The ability to capitalize on growth opportunities and increase shareholder wealth through higher return on equity significantly predicted holding period returns. Return on equity, was explained by volatility, cash flow to assets and profit margin.

The data are highly current with 2014 IPOs being used. The paper clearly distinguishes between fleeting announcement-day returns driven by informed traders and long-term holding period returns in a departure from the prevailing practice of measuring long-term post-IPO performance with abnormal returns. Finally, the paper creates subjective measures of volatility and growth strategies.

The purpose of this paper is to examine the changes in the price impact of trades in the major Korean stock market following the introduction of disclosure to all traders of the top five brokers on the buy-side and the top five brokers on the sell-side of trades in real time for each stock in the KOSDAQ market.

The paper uses several alternative metrics for the price impact of trades. The study applies estimation methodology that accounts for the potential endogeneity of other market quality proxies, which are used as control variables in price impact regressions, by utilizing two-stage-least-square methods with fixed effect specification.

This study finds that the permanent price impact (information effect) of both buyer- and seller-initiated trades increases, which indicates that information is disseminated quicker in a transparent market. Uninformed trades have a larger permanent price impact than informed trades on both the buy and sell sides. The liquidity price effects are found to be mixed for buys and sells.

The study supports the current policy of the Korean Exchange to publicly display the five most active broker IDs on both the buy and sell sides, as it attracts both informed and liquidity traders, leading to faster price discovery in a more transparent market. However, a future study which analyzes the change in the market quality in both local markets would provide a complete picture of the effects of the policy.

Earlier studies documenting the effect of broker ID disclosure on market quality used effective spreads, market depth or order book imbalance as market quality measures. This study contributes to the existing literature by examining the changes in direct measures of the private information effect and liquidity effect of trades in a stock market – the Korean Stock Exchange – when the other part of the exchange (the KOSDAQ stock market) shifts to public broker ID transparency at the same transparency level.

The paper aims to explore the informational role of futures volume in the simultaneous relationship between option volume and spot volatility to forecast the volatility of the underlying asset.

The generalized method of moments is used to estimate the simultaneous equations of endogeneity between spot volatility and option volume. Futures volume is specified as an exogenous variable in both legs of the estimation of simultaneous equations. However, the future volume is also tested as a dependent variable to prove preference for investment by informed investors in futures along with options.

The result indicates that futures volume has a significant association with the bi-directional simultaneous equation estimation between spot volatility and option volume. Moreover, the result of this paper proves that informed investors also prefer futures markets over the spot market. However, there is no change observed in the relationship between option volume and spot volatility due to either call or put options or moneyness.

The possible role of futures volume in the simultaneous equations between spot volatility and option volume has not yet been researched. This paper pioneers in demonstrating that futures volume is an exogenous variable in the simultaneous equation modeling between spot volatility and option volume. Moreover, in the contemporaneous as well as predictive relationships between spot volatility and option volume, futures volume as an exogenous variable is significant in forecasting spot volatility. In addition to this, the current paper uniquely provides evidence of investment in futures also over the spot market by informed investors.