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Monthly U.S. log excess return on the S&P 500 and the short interest index (SII) used in Rapach, Ringgenberg, and Zhou (2016), "Short interest and aggregate stock returns" (Journal of Financial Economics, 121, 46-65). Sample period 1973-01 to 2014-12.

Usage

rrz2016

Format

A data frame with 504 rows and 3 variables:

date

First-of-month Date.

r

Log excess return on the S&P 500: \(\log(1 + R_t) - \log(1 + rf_{t-1})\).

SII

Short interest index, standardised linearly-detrended log EWSI.

Source

Replication archive of Rapach, Ringgenberg, and Zhou (2016): https://github.com/GabboCg/rrz2016.

Details

SII is constructed as standardised residuals from a linear regression of \(\log(\text{EWSI}_t)\) on a time trend, where \(\text{EWSI}_t\) is the equal-weighted mean across all firms of the number of shares held short normalised by shares outstanding.

References

Rapach, D. E., Ringgenberg, M. C. and Zhou, G. (2016). Short interest and aggregate stock returns. Journal of Financial Economics, 121(1), 46-65.

Examples

data(rrz2016)
head(rrz2016)
#>         date            r      SII
#> 1 1973-01-01 -0.021110001 2.159183
#> 2 1973-02-01 -0.038901258 2.125340
#> 3 1973-03-01 -0.005749409 2.354275
#> 4 1973-04-01 -0.045950829 2.109134
#> 5 1973-05-01 -0.019251323 2.268280
#> 6 1973-06-01 -0.010477457 2.075074
plot(rrz2016$date, rrz2016$SII, type = "l",
     xlab = NULL, ylab = "SII")