This paper investigates how order flows drive dynamic co-movements of exchange rates. We allow for asymmetric correlation responses to positive/negative shocks, control for structural breaks, bid-ask spreads and volatility effect of order flows, employ alternative order flow measures, and...

We examine the impact of a rule in the Canadian equities market that requires dark orders to offer price improvement over displayed orders. We show that this rule eliminated intermediation of retail orders in the dark and shifted retail orders onto the lit market with the lowest trading fee....

We develop tests that help assess whether a high frequency data sample can be treated as reasonably free of market microstructure noise at a given sampling frequency for the purpose of implementing high frequency volatility and other estimators. The tests are based on the Hausman principle of...

Widely used volatility estimation methods mainly consider one of the following two simple microstructure noise models: random additive noise on log prices, or pure rounding errors. Apparently in real data these two types of noise co-exist. In this paper, we discover a common feature of these two...

In this paper, we provide non-parametric statistical tools to test stationarity of microstructure noise in general hidden Ito semimartingales, and discuss how to measure liquidity risk using high frequency financial data. In particular, we investigate the impact of non-stationary microstructure...