The effective cost of trading is usually estimated from transaction-level data. This study proposes a Gibbs estimate that is based on daily closing prices. In a validation sample, the daily Gibbs estimate achieves a correlation of 0.965 with the transaction-level estimate. When the Gibbs...

This paper presents an empirical microstructure model of bid and ask quotes that features discreteness, random costs of market making, and ARCH volatility effects. Applied to intraday quotes at 15-minute intervals for Alcoa (a randomly chosen Dow stock), the results show that quote exposure...

This paper suggests that the interactions of security trades and quote revisions be modeled as a vector autoregressive system. Within this framework, a trade's information effect may be meaningfully measured as the ultimate price impact of the trade innovation. Estimates for a sample of NYSE...

This paper establishes three empirical results. The authors find positive autocorrelation in actual intraday stock returns, in intraday returns computed from quot e-midpoints, and in the arrival of buy and sell orders. They present a model of return generation which incorporates these features...

The market for U.S. equity indexes presently comprises floor-traded index futures contracts, exchange-traded funds (ETFs), electronically traded, small-denomination futures contracts (E-minis), and sector ETFs that decompose the S&P 500 index into component industry portfolios. This paper...

When homogeneous or closely-linked securities trade in multiple markets, it is often of interest to determine where price discovery (the incorporation of new information) occurs. This article suggests an econometric approach based on an implicit unobservable efficient price common to all...