Do foreign institutions outperform in the Taiwan options market?

This paper investigates comparative information advantage for foreign and domestic institutions on Taiwan's index options by examining the intraday information content of limit orders placed by foreign and domestic institutions, respectively. The height and length of limit order book provided by either foreign or domestic institutions exhibit predictive power on subsequent price changes in options, especially for put options. The information advantage is more significant for foreign institutions with respect to both call and put options. On the other hand, the results are mixed when order imbalance is used as the proxy of information on limit order book. Foreign institutions outperform domestic institutions for put options, not call options. Order imbalance, ignoring differential aggressiveness of limit orders, fails to capture comparative information advantage for foreign institutions. The superior information advantage for foreign institutions persists during the financial tsunami of 2008–2009 and periods of substantial price changes.     

Why is equity order flow so persistent?

Order flow in equity markets is remarkably persistent in the sense that order signs (to buy or sell) are positively autocorrelated out to time lags of tens of thousands of orders, corresponding to many days. Two possible explanations are herding, corresponding to positive correlation in the behavior of different investors, or order splitting, corresponding to positive autocorrelation in the behavior of single investors. We investigate this using order flow data from the London Stock Exchange for which we have membership identifiers. By formulating models for herding and order splitting, as well as models for brokerage choice, we are able to overcome the distortion introduced by brokerage. On timescales of less than a few hours the persistence of order flow is overwhelmingly due to splitting rather than herding. We also study the properties of brokerage order flow and show that it is remarkably consistent both cross-sectionally and longitudinally.     

Does algorithmic trading harm liquidity? Evidence from Brazil

This paper provides the first evidence of algorithmic trading (AT) reducing liquidity in the Brazilian equities market. Our results are contrary to the majority of work which finds a positive relationship between AT and liquidity. Using the adoption of a new data center for the B3 exchange as an exogenous shock, we report evidence that AT increased realized spreads in both firm fixed-effects and vector autoregression estimates for 26 stocks between 2017 and 2018 using high-frequency data. We also provide evidence that AT increases commonality in liquidity, evidencing correlated transactions between automated traders.     

A GUIDED TOUR OF THE MARKET MICROSTRUCTURE APPROACH TO EXCHANGE RATE DETERMINATION

Abstract.  We propose a critical review of recent developments in exchange rate economics which have offered a novel approach to exchange rate determination. This new strand of research, the market microstructure approach to exchange rates, is motivated by some very stark empirical evidence, relating exchange rate dynamics to the imbalance in the sequence of purchases and sales of foreign currencies in the markets for foreign exchange. Through our review we outline the results this new strand of research has achieved alongside its open questions and future challenges.