improved ex-post volatility measurements but has also inspired research into their potential value as an informa-tion source … for longer horizon volatility forecasts. In this paper we explore the forecasting value of these high fre-quency series in … conjunction with a variety of volatility models for returns on the Standard & Poor's 100 stock index. We consider two so …

. One is a call market experiment in which participants trade assets with each other. The other is a learning …-to-forecast experiment in which participants only forecast future prices, while the trade, which is based on these forecasts, is computerized …. Each experiment comprises three treatments that vary the amount of information about the fundamental value that …

measured by the variance is significantly larger than the amplitude under RE, implying persistent excess volatility. However …

This experiment compares the price dynamics and bubble formation in an asset market with a price adjustment rule in …

The sum of squared intraday returns provides an unbiased and almost error-free measure of ex-post volatility. In this … paper we develop a nonlinear Autoregressive Fractionally Integrated Moving Average (ARFIMA) model for realized volatility …, which accommodates level shifts, day-of-the-week effects, leverage effects and volatility level effects. Applying the model …

relationship between the S&P500 Composite Index and the Volatility Index (VIX), but few empirical studies have focused on the …