I have a paneldataset with 913 companies and monthly return data (log returns) and i need the volatility of monthly stock returns (estimated by the sd) over a window of 6 months. In the end i need one return volatility per year. Can somebody help me out with that?
I used the following rangestat command but I´m confused by the results
Code:
rangestat (sd) log_return (count) log_return, interval(date_new -60 0) by(company_code)
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input int company_code byte(day month) int year double total_return_ str6 date long date_new float log_return 1 1 12 1997 1137.47 "199712" 1 . 1 1 1 1998 946.45 "199801" 2 -.18384363 1 1 2 1998 1001.95 "199802" 3 .05698524 1 1 3 1998 1032.89 "199803" 4 .0304126 1 1 4 1998 1069.15 "199804" 5 .03450324 1 1 5 1998 1100.34 "199805" 6 .028755283 1 1 6 1998 1098.62 "199806" 7 -.001564376 1 1 7 1998 978.98 "199807" 8 -.11529891 1 1 8 1998 872.48 "199808" 9 -.11517148 1 1 9 1998 800.06 "199809" 10 -.086653 1 1 10 1998 852.96 "199810" 11 .06402593 1 1 11 1998 944.06 "199811" 12 .10147707 1 1 12 1998 962.96 "199812" 13 .01982215 1 1 1 1999 841.67 "199901" 14 -.13462386 1 1 2 1999 911.19 "199902" 15 .07936342 1 1 3 1999 876.92 "199903" 16 -.03833567 1 1 4 1999 867.24 "199904" 17 -.011100013 1 1 5 1999 1119.06 "199905" 18 .25492856 1 1 6 1999 1057.85 "199906" 19 -.0562505 1 1 7 1999 1045.85 "199907" 20 -.011408594 1 1 8 1999 1069.84 "199908" 21 .02267915 1 1 9 1999 1142.48 "199909" 22 .06569223 1 1 10 1999 1138.7 "199910" 23 -.0033140774 1 1 11 1999 1134.18 "199911" 24 -.003977338 1 1 12 1999 1145.75 "199912" 25 .010149522 1 1 1 2000 1144.99 "200001" 26 -.000663541 1 1 2 2000 1141.95 "200002" 27 -.002658576 1 1 3 2000 1051.46 "200003" 28 -.08255766 1 1 4 2000 1121.66 "200004" 29 .064630054 1 1 5 2000 1061.38 "200005" 30 -.05523978 1 1 6 2000 1043.03 "200006" 31 -.01744001 1 1 7 2000 1033.04 "200007" 32 -.009624028 1 1 8 2000 1098.33 "200008" 33 .06128493 1 1 9 2000 1143.61 "200009" 34 .04039908 1 1 10 2000 1133.56 "200010" 35 -.0088268025 1 1 11 2000 1176.06 "200011" 36 .036806747 1 1 12 2000 1239.16 "200012" 37 .05226386 1 1 1 2001 1498.81 "200101" 38 .19023773 1 1 2 2001 1387.49 "200102" 39 -.0771751 1 1 3 2001 1370.58 "200103" 40 -.012262352 1 1 4 2001 1276.17 "200104" 41 -.0713706 1 1 5 2001 1469.5 "200105" 42 .1410588 1 1 6 2001 1500.4 "200106" 43 .020809533 1 1 7 2001 1473.38 "200107" 44 -.018172659 1 1 8 2001 1394.73 "200108" 45 -.05485823 1 1 9 2001 1315.17 "200109" 46 -.05873491 1 1 10 2001 1223.71 "200110" 47 -.072078705 1 1 11 2001 1342.59 "200111" 48 .09271336 1 1 12 2001 1446.04 "200112" 49 .074228205 1 1 1 2002 1501.15 "200201" 50 .0374027 1 1 2 2002 1438.42 "200202" 51 -.04268619 1 1 3 2002 1536.04 "200203" 52 .065662384 1 1 4 2002 1471.44 "200204" 53 -.04296616 1 1 5 2002 1608.55 "200205" 54 .08909164 1 1 6 2002 1596.48 "200206" 55 -.007531947 1 1 7 2002 1634.33 "200207" 56 .02343173 1 1 8 2002 1566.72 "200208" 57 -.04224867 1 1 9 2002 1610.61 "200209" 58 .02762873 1 1 10 2002 1498.86 "200210" 59 -.07190817 1 1 11 2002 1650.57 "200211" 60 .09641586 1 1 12 2002 1662.41 "200212" 61 .007147674 1 1 1 2003 1597 "200301" 62 -.04014149 1 1 2 2003 1618.89 "200302" 63 .01361386 1 1 3 2003 1624.39 "200303" 64 .0033916314 1 1 4 2003 1703.55 "200304" 65 .04758195 1 1 5 2003 1626.21 "200305" 66 -.04646216 1 1 6 2003 1636.22 "200306" 67 .006136549 1 1 7 2003 1687.01 "200307" 68 .03056903 1 1 8 2003 1819.61 "200308" 69 .07566446 1 1 9 2003 1873.46 "200309" 70 .029164797 1 1 10 2003 1864.65 "200310" 71 -.00471362 1 1 11 2003 2072.15 "200311" 72 .10551335 1 1 12 2003 2155.8 "200312" 73 .03957517 1 1 1 2004 2245.87 "200401" 74 .04093109 1 1 2 2004 2060.19 "200402" 75 -.08629476 1 1 3 2004 2090.19 "200403" 76 .01445676 1 1 4 2004 2150.42 "200404" 77 .0284082 1 1 5 2004 2309.08 "200405" 78 .071186006 1 1 6 2004 2260.55 "200406" 79 -.02124103 1 1 7 2004 2349.56 "200407" 80 .03861993 1 1 8 2004 2226.44 "200408" 81 -.05382418 1 1 9 2004 2217.99 "200409" 82 -.003802517 1 1 10 2004 2133.14 "200410" 83 -.03900631 1 1 11 2004 2058.72 "200411" 84 -.03551064 1 1 12 2004 2162.91 "200412" 85 .04937011 1 1 1 2005 2215.34 "200501" 86 .023951354 1 1 2 2005 2260.5 "200502" 87 .02018014 1 1 3 2005 2282.35 "200503" 88 .009619586 1 1 4 2005 2299.92 "200504" 89 .007668726 1 1 5 2005 2077.28 "200505" 90 -.101815 1 1 6 2005 2091.71 "200506" 91 .006922568 1 1 7 2005 1983.05 "200507" 92 -.05334585 1 1 8 2005 2045.53 "200508" 93 .03102086 1 1 9 2005 1936.18 "200509" 94 -.05493997 1 1 10 2005 1981.81 "200510" 95 .02329361 1 1 11 2005 2045.47 "200511" 96 .031617023 1 1 12 2005 2177.59 "200512" 97 .062591165 1 1 1 2006 2128.97 "200601" 98 -.022580465 1 1 2 2006 2010.57 "200602" 99 -.05722003 1 1 3 2006 2036.52 "200603" 100 .012824205 end
0 Response to 60 month rolling average
Post a Comment