In this paper, we estimate and test a multi-period model of strategic informed trading developed by Foster and Viswanathan [Foster, F.-D., Viswanathan, S., 1996. Strategic trading when agents forecast the forecasts of others, J. Finance 51, 1437–1478]. We employ the GMM using intertemporal patterns of price, trading volume and market depth, leading up to the earnings announcements made by NYSE firms. We find that multiple informed traders with heterogeneous private signals trade prior to the announcements. In addition, by comparing the results from daily and intra-day estimations, we find that the number of informed traders increases while the intensity of liquidity trading decreases, and that the adverse selection problem becomes more pronounced as the announcements approach.

Jin-Wan Cho, Murugappa Krishnan, Prices as Aggregators of Private Information: Evidence from S&P 500 Futures Data, The Journal of Financial and Quantitative Analysis, Vol. 35, No. 1 (Mar., 2000), pp. 111-126

We document that capital flows in and out of emerging or developed markets are sensitive to global equity market conditions. Capital tends to move out of emerging into developed countries in global down markets, leading to depreciation (appreciation) of emerging (developed) currencies. This generates a positive (negative) correlation between currency and equity in emerging (developed) markets which is amplified by the magnitude of the capital movement. We also verify that hedging currency risks may undo the natural hedge and increase the total return volatility under negative correlation.