eScholarship (California Digital Library) · 2005 · 17 citations · 31 references
Open access
BusinessEconomicsFinanceAsset PricingFinancial EconomicsTime Series AnalysisAsset Pricing EmpiricsAsset Return ModelingAutocorrelation AnalysisCapital MarketsStock MarketsAutocorrelation ModelsLower BoundsSpurious Autocorrelation
We find compelling evidence that stock return autocorrelation is not spurious. Specifically, we find that partial price adjustment is an important source, and in some cases the main source, of the autocorrelation. In contrast to previous tests, our tests of partial price adjustment are direct, using disjoint time intervals, separated by a trade, to eliminate the nonsynchronous trading effect. We find compelling evidence of partial price adjustment in several settings, involving both individual stocks and portfolios. We also find evidence for partial price adjustment in an unlikely setting: the incorporation of very public, non-firm-specific information into the price of individual stocks. Several of our tests allow us to estimate lower bounds on the fraction of the autocorrelation that comes from partial price adjustment; in each case, we find the fraction is very substantial.
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Handbook of Parametric and Nonparametric Statistical Procedures
Technometrics · 2004 · 4.7K citations
Estimating betas from nonsynchronous data
Myron S. Scholes, Joseph Williams · Journal of Financial Economics · 1977 · 2.8K citations