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SEC Follow Up Exhibits Part C SEC_OEA_FCIC_001760-2501

SEC Follow Up Exhibits Part C SEC_OEA_FCIC_001760-2501

SEC Follow Up Exhibits Part C SEC_OEA_FCIC_001760-2501

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Reg SHO Pilot Report DRAFT 9/14/2006<br />

on stock i at time t, and Rt L is the one-period return measured as a percentage of the lagged stock<br />

price:<br />

R<br />

t<br />

Pt<br />

− P<br />

=<br />

P<br />

t−1<br />

t−1<br />

P − P<br />

=<br />

L t t−1<br />

R t<br />

,<br />

Pt<br />

−2<br />

where Pt represents the price of stock i at time t. We estimate these metrics using 5-minute and<br />

30-minute horizons. The return as a percentage of the lagged price is used in the measure so that<br />

the adjacent returns will be compared on the same basis. 49<br />

We normalize the reversal measure by the standard deviation of returns on the same<br />

stock, computed using the same return interval over which the reversals are measured, in order to<br />

ensure that the measure will capture reversals that are large in magnitude compared to the typical<br />

movement on the stock. The standard deviation is computed using only pre-pilot returns data, so<br />

that the measure will not be affected by any changes in volatility that may be related to the pilot.<br />

By definition, a “negative reversal” only occurs in periods when there is a negative return<br />

followed by a positive return—otherwise, the negative reversal measure is equal to zero. If a<br />

stock experienced a negative return of 3 standard deviations that was fully reversed in the next<br />

period, our negative reversal measure would be 3. If a return is only partially reversed, only the<br />

portion that is reversed is counted in the measure.<br />

We do not test whether this measure changes across Pre-Pilot and Pilot Periods because<br />

the Pre-Pilot Period is already used to normalize the measure. Rather, we focus on differences<br />

between the control and pilot samples during the Pilot Period. In order to test whether the<br />

frequency of extreme reversals differs across the two samples, we use a nonparametric<br />

bootstrapping methodology that does not require any assumptions about the probability<br />

49 For example, if a stock price increases from 40 to 50 and then returns back to 40, this corresponds to a 25% return<br />

followed by a -20% return. In our measure, we would compute the negative return as a percentage of the original<br />

price, which would make it a -25% return.<br />

Prepared by the Office of Economic Analysis 31<br />

DRAFT

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