This paper considers a trading game in which sequentially arriving liquidity traders either opt for a market order or for a limit order. One class of traders is considered to have an extended trading horizon, implying their impatience is linked to their trading orientation. More specifically,...

This paper considers a trading game in which sequentially arriving liquidity traders either opt for a market order or for a limit order. One class of traders is considered to have an extended trading horizon, implying their impatience is linked to their trading orientation. More specifically,...

We develop a model of an order-driven exchange competing for order flow with off-exchange trading mechanisms. Liquidity suppliers face a trade-off between benefits and costs of order exposure. If they display trading intentions, they attract additional trade demand. We show, in equilibrium,...

I assess the impact of increasing the tick size on stock liquidity and trading volume in illiquid stocks. Using a regression discontinuity design at the Oslo Stock Exchange, I find that increasing the tick size has no impact on the transaction costs, order book depths, or trading volumes of...

This paper examines unique data on dark pool activity for a large cross-section of US stocks in 2009. Dark pool activity is concentrated in liquid stocks. Nasdaq (AMEX) stocks have significantly higher (lower) dark pool activity than NYSE stocks controlling for liquidity. For a given stock, dark...

We investigate the effects of introducing a fee on excessive order to trade ratios (OTR) on market quality at the Oslo Stock Exchange (OSE). We find that traders reacted to the regulation, as measured OTRs fell. However, market quality, measured with depth, spreads, and realized volatility,...

This chapter investigates the influence of improved pre-trade transparency on the information content of the limit order book. Data from two natural experiments are examined: when the Sydney Futures Exchange increased the limit order book disclosure from the best bid and ask level to the best...

We use a novel machine learning approach to tackle the problem of limit order management. Applying our framework to data, we show that the most important variable for a trader to consider is the price level of their order, followed by the queue sizes of the order book, volatility and finally...

Market microstructure deals with the purest form of financial intermediation – the trading of a financial asset, such as a stock or a bond. In a trading market, assets are not transformed but are simply transferred from one investor to another. The field of market microstructure studies the...

We report evidence that the presence of hidden liquidity is associated with greater liquidity in the order books, greater trading volume, and smaller price impact. Limit and market order submission behavior changes when hidden liquidity is present consistent with at least some traders being able...