Based on high-frequency firm-level data, this paper uncovers new empirical patterns on intraday momentum in China. First, there exists a strong intraday momentum effect at the firm level. Second, the intraday predictability stems mainly from the overnight component rather than the opening...

Cross-asset market activity can be a channel through which illiquidity risks originating in one market can propagate to others. This paper examines the complex intra-day linkages between the U.S. equity securities market and the equity derivatives market using high-frequency data on S&P 500...

Despite the fact that an intraday market price distribution is not normal, the random walk model of price behaviour is as important for the understanding of basic principles of the market as the pendulum model is a starting point of many fundamental theories in physics. This model is a good zero...

This paper reexamines contrarian trades as a proxy of informed trades. Empirical analysis is applied to intraday trade and quote data of the Chinese CSI300 index component stocks over 2012-2014. By dividing each trading day into 48 5-minute intervals and employing this measure for all intervals...

This paper exploits hand-collected data on illegal insider trades to provide new evidence of the ability of standard measures of illiquidity to detect informed trading. Controlling for unobserved cross-sectional and time-series variation, sampling bias, and strategic timing of insider trades, I...

The implementation of the MiFID Directive in November 2007 results in the end of monopolies of European stock exchanges. Thus it introduces trades fragmentation: listed securities are no longer solely traded in the market which first listed them, but also in other stock exchanges or trading...

I study short-sale constraints in a market with asymmetric information. I offer a novel approach endogenizing short-sale constraints by including an asset-borrowing market in my model. Short-sellers have to borrow an asset and therefore reveal information to a lender. The lender trades on her...

Algorithmic trading is generally defined as using computer-generated algorithms to create and execute orders on marketplaces. Recently, such algo-trading strategies are increasingly being associated with the negative impact on capital markets – both from a technological as well as a business...

This paper analyses a set of intraday rally and crash events at the firm level during the single stock circuit breaker (SSCB) program, and documents the cross-sectional spillover effects of such events on non-halted stocks. We test whether such major price jumps, and subsequent trading halts,...

Applying a recently developed approach, the paper estimates the daily arrival rates of buy and sell orders originated from different trading motives for each stock in a sample of NYSE-listed companies. Based on these arrival rates, it shows that stock return tends to continue on consecutive days...