We propose a new approach to measuring informed trading in individual securities based on a portfolio optimization model for investors facing information and liquidity shocks. These shocks induce speculative and liquidity-motivated order flow, taking into account the price impact of trading. The...

This study examines the effect of firm-level transparency on liquidity and trading in a multi-market setting, using the market for American Depository Receipts (ADR) as an example. Theory predicts competing effects of transparency on liquidity differences between stocks trading domestically and...

This paper studies the dynamics of high-frequency market efficiency measures. We provide evidence that these measures co-move across stocks and with each other, suggesting the existence of a systematic market efficiency component. In vector autoregressions, we show that shocks to funding...

The capital asset pricing model (CAPM) performs poorly overall as market risk (beta) is weakly related to 24-hour returns. This is because stock prices behave very differently with respect to their sensitivity to beta when markets are open for trading versus when they are closed. Stock returns...

We study intraday, market-wide shocks to stock prices, market liquidity, and trading activity on international stock markets and assess the relevance of recent theories on "liquidity dry-ups" in explaining such shocks. Market-wide price shocks are prevalent and large, with rapid spillovers...

I study how arbitrage affects liquidity by analyzing several billion trades in the AmericanDepositary Receipt (ADR) market from 2001 to 2016. Price deviations persist, on average, for 12 minutes, and mainly arise because of price pressure. Impulse response functions estimated at 1-minute...

Liquid stocks may attract short-term traders who could attenuate the informativeness of stock prices about long-run fundamentals. As a result, managers may be less (more) likely to rely on the market prices of more (less) liquid stocks when making real investment decisions. Supporting this...

We propose a portfolio optimization approach to identifying private information. In our model, investors are exposed to liquidity and private information shocks and optimize their trading across stocks taking into account price impact (Kyle's Lambda). We obtain a very simple expression for a...