Fund liquidation, self-selection and look-ahead bias in the hedge ...
Fund liquidation, self-selection and look-ahead bias in the hedge ...
Fund liquidation, self-selection and look-ahead bias in the hedge ...
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
5: Persistence Estimates (Raw returns)<br />
Table<br />
performance (raw returns)<br />
Average<br />
Two-Quarters<br />
(2) (3) (1) - (3)<br />
(1)<br />
non corrected corrected double corrected<br />
Decile<br />
0.1284 0.1139 0.1090 0.0193<br />
1(losers)<br />
2 0.1278 0.1253 0.1250 0.0028<br />
3 0.1308 0.1345 0.1356 −0.0048<br />
4 0.1302 0.1322 0.1333 −0.0031<br />
5 0.1230 0.1297 0.1314 −0.0085<br />
6 0.1492 0.1510 0.1503 −0.0011<br />
7 0.1602 0.1650 0.1694 −0.0091<br />
8 0.1848 0.1892 0.1891 −0.0042<br />
9 0.2112 0.2090 0.2095 0.0017<br />
quarter, funds are sorted <strong>in</strong>to ten rank portfolios based on <strong>the</strong>ir previous<br />
Each<br />
Next, average returns over <strong>the</strong> next two quarters are computed, for<br />
two-quarters.<br />
decile. Us<strong>in</strong>g returns from 1994-2000, this produces a time-series for each<br />
each<br />
of 21 average two-quarter returns. The numbers <strong>in</strong> <strong>the</strong> table are <strong>the</strong> annu-<br />
decile<br />
time-series averages <strong>and</strong> <strong>the</strong>ir st<strong>and</strong>ard errors <strong>in</strong> paren<strong>the</strong>ses. The st<strong>and</strong>ard<br />
alized<br />
are corrected for autocorrelation based on <strong>the</strong> Newey-West approach. The<br />
errors<br />
figures employ a weight<strong>in</strong>g procedure to elim<strong>in</strong>ate <strong>liquidation</strong> <strong>bias</strong>, <strong>and</strong><br />
corrected<br />
double corrected employ a weight<strong>in</strong>g procedure to elim<strong>in</strong>ate <strong>liquidation</strong> <strong>and</strong><br />
<strong>the</strong><br />
(0.0794) (0.0932) (0.0987) (0.0229)<br />
(0.0335) (0.0374) (0.0380) (0.0067)<br />
(0.0291) (0.0300) (0.0298) (0.0046)<br />
(0.0242) (0.0246) (0.0246) (0.0029)<br />
(0.0218) (0.0249) (0.0253) (0.0058)<br />
(0.0255) (0.0258) (0.0242) (0.0061)<br />
(0.0296) (0.0286) (0.0310) (0.0068)<br />
(0.0416) (0.0450) (0.0445) (0.0072)<br />
(0.0529) (0.0512) (0.0518) (0.0054)<br />
10 (w<strong>in</strong>ners) 0.2448 0.2278 0.2283 0.0165<br />
(0.0810) (0.0798) (0.0800) (0.0108)<br />
w<strong>in</strong>ners - losers 0.1164 0.1139 0.1193 −0.0028<br />
(0.0918) (0.0984) (0.1027) (0.0247)<br />
<strong>self</strong>-<strong>selection</strong> <strong>bias</strong>.<br />
20