Knowledge that Transforms

Exploiting information transmission latency between stock exchanges in Frankfurt and London, and speed-inducing technological upgrades, we show that when cross-market latency arbitrage opportunities are linked to the arrival of information, high-frequency traders' (HFTs’) activities impair liquidity and enhance price discovery by facilitating the incorporation of public information into prices. Conversely, when cross-market latency arbitrage opportunities are driven by liquidity shocks, HFTs improve liquidity and reduce trading costs, thus incentivizing information acquisition and trading with private information. These findings underscore the complex nature of the association between trading speed and market quality and reconcile mixed evidence in the extant literature.

We analyze the relation between transaction costs and venue choice using proprietary transaction-level data from institutional trade executions in the U.K. equity market. We show that, for a given investor, a higher share of dark trading (midpoint dark pools) is associated with lower execution costs. In the context of a recent ban on dark trading, we provide evidence consistent with migration towards substitute trading venues such as periodic auctions, which has mitigated adverse effects on trading costs for large investors. We also provide micro-evidence on Menkveld et al.’s (2017) pecking order theory of venue choice over the life-cycle of large parent orders.

Arbitrage opportunities in markets for cryptocurrencies are well-documented. In this paper, we confirm that they exist; however, their magnitude decreased greatly from April 2018 onward. Analyzing various trading strategies, we show that it is barely possible to exploit existing price differences since then. We discuss and test several mechanisms that may be responsible for the increased market efficiency and find that informed trading is correlated with a reduction in arbitrage opportunities.

We exploit a unique experiment, where the intraday price moves of Indian IPO listings are restricted within a narrow band, to examine the consequences of price bands for stock prices, investor trading behavior, and stock market liquidity. Based on difference-in-differences estimations, we find that price bands lead to a significant reduction in the price variability of IPO stocks. The decrease in variability is accompanied by increases in post-IPO selling by individual investors, the price impact of trades, and IPO expected returns. Bid-ask spreads remain similar. The findings provide new evidence on the effects of intraday price bands on equity markets.

We extract the news component of short-selling activity by accounting for important cross-sectional, distributional differences in short interest data. The resulting measure of surprise in short interest negatively predicts the cross section of both U.S. and international equity returns. Our results also indicate that this predictability originates from short sellers’ informed trading on mispricing and investors’ underreaction due to their anchoring on past short interest. Finally, consistent with the notion of costly arbitrage, the return predictability is stronger among illiquid, volatile stocks and stocks with high information uncertainty, but importantly, unrelated to short-selling frictions.