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Intraday Stock Prices, Volume, And Duration: A Nonparametric Conditional Density Analysis, Anthony S. Tay, Christopher Ting

Research Collection School Of Economics

We investigate the distribution of high-frequency price changes, conditional on trading volume and duration between trades, on four stocks traded on the New York Stock Exchange. The conditional probabilities are estimated nonparametrically using local polynomial regression methods. We find substantial skewness in the distribution of price changes, with the direction of skewness dependent on the sign of trade. We also find that the probability of larger price changes increases with volume, but only for trades that occur with longer durations. The distribution of price changes vary with duration primarily when volume is high.

An Empirical Analysis Of Internal Control Weaknesses Under Sas No. 78: An Examination Of State Audit Reports, Edmund J. Boyle, Steven M. Cooper, Marshall A. Geiger

Accounting Faculty Publications

While there has been a considerable amount of research regarding internal control over the past several years, scant empirical research has examined SAS No. 78's integrated five-component depiction of internal control in a government setting. In particular, to our knowledge, no study has assessed the types or frequency of weaknesses under the SAS No. 78 framework using actual internal control system findings. In this study, we examine 32 state department and agency internal control reports to assess how well the theoretical framework captures actual system weaknesses, and to determine the relative distribution of weaknesses across components of the framework.

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