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Fund liquidation, self-selection and look-ahead bias in the hedge ...

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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

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