European Finance Review · 2002 · 42 citations · 48 references
BusinessEconomicsFinanceEconometricsFinancial EconomicsFinancial MarketsAsset Return ModelingFutures MarketsInformation AsymmetryVolatility ModelingIntraday Return DynamicsIntraday TradingMarket Reaction To InformationPrice Impact EstimationVariance DecompositionVolatility
Abstract This paper delineates the simultaneous impact of non-anticipated information on mean and variance of the intraday return process by including appropriate variables accounting for the news flow into both the mean and the variance function. This allows us to differentiate between the consistent price reaction to surprising news and the traders' uncertainty about the precise price impact of this information. Focussing on the US employment report, we find that headline information is almost instantaneously incorporated into T-bond futures prices. Nevertheless, large surprises, and ‘bad’ news in particular, create considerable uncertainty. In contrast, if surprises in related headlines cross-validate each other, less room for differences of opinion is left and hence volatility is decreased. JEL classification codes: E44, G14.
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Expected stock returns and volatility
Kenneth R. French, G. William Schwert, Robert F. Stambaugh · Journal of Financial Economics · 1987 · 4.3K citations · Full text
A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices
Peter K. Clark · Econometrica · 1973 · 2.8K citations · Full text