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r - 将日 yield 转换为 r 中的月 yield

转载 作者：行者123 更新时间：2023-12-04 10:19:26 28 4
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我们有超过 100 个共同基金的每日返回，我们希望将这些返回转换为月度返回。每月返回不应是每个月的平均值，而是每个月末的资金返回。基金在不同的时间点开始和结束，它们需要自己保留(不是每个月的共同基金 yield 都加1)。

从图片中可以看到数据框(df)及其部分内容。日期在第一列，需要排序。
enter image description here
我们希望得到一些帮助来解决这个问题。

我相信它包含足够的信息能够编写代码。

DATA,dput(df5[1:50,])

  1. "Date" "Name" "Nav"
  2. 2012-01-02 Aktiva 10 121.738
  3. 2012-01-03 Aktiva 10 121.87
  4. 2012-01-04 Aktiva 10 121.906
  5. 2012-01-05 Aktiva 10 121.89
  6. 2012-01-06 Aktiva 10 121.949
  7. 2012-01-09 Aktiva 10 122.024
  8. 2012-01-10 Aktiva 10 122.205
  9. 2012-01-11 Aktiva 10 122.219
  10. 2012-01-12 Aktiva 10 122.324
  11. 2012-01-13 Aktiva 10 122.309
  12. 2012-01-16 Aktiva 10 122.45
  13. 2012-01-17 Aktiva 10 122.433
  14. 2012-01-18 Aktiva 10 122.483
  15. 2012-01-19 Aktiva 10 122.596
  16. 2012-01-20 Aktiva 10 122.548
  17. 2012-01-23 Aktiva 10 122.653
  18. 2012-01-24 Aktiva 10 122.507
  19. 2012-01-25 Aktiva 10 122.582
  20. 2012-01-26 Aktiva 10 122.783
  21. 2012-01-27 Aktiva 10 122.804
  22. 2012-01-30 Aktiva 10 122.749
  23. 2012-01-31 Aktiva 10 122.865
  24. 2012-02-01 Aktiva 10 123.044
  25. 2012-02-02 Aktiva 10 123.184
  26. 2012-02-03 Aktiva 10 123.32
  27. 2012-02-06 Aktiva 10 123.402
  28. 2012-02-07 Aktiva 10 123.322
  29. 2012-02-08 Aktiva 10 123.342
  30. 2012-02-09 Aktiva 10 123.421
  31. 2012-02-10 Aktiva 10 123.368
  32. 2012-02-13 Aktiva 10 123.418
  33. 2012-02-14 Aktiva 10 123.389
  34. 2012-02-15 Aktiva 10 123.558
  35. 2012-02-16 Aktiva 10 123.735
  36. 2012-02-17 Aktiva 10 123.636
  37. 2012-02-20 Aktiva 10 123.68
  38. 2012-02-21 Aktiva 10 123.701
  39. 2012-02-22 Aktiva 10 123.705
  40. 2012-02-23 Aktiva 10 123.663
  41. 2012-02-24 Aktiva 10 123.723
  42. 2012-02-27 Aktiva 10 123.77
  43. 2012-02-28 Aktiva 10 123.9
  44. 2012-02-29 Aktiva 10 123.91
  45. 2012-03-01 Aktiva 10 123.95
  46. 2012-03-02 Aktiva 10 124.02
  47. 2012-03-05 Aktiva 10 123.98
  48. 2012-03-06 Aktiva 10 123.74
  49. 2012-03-07 Aktiva 10 123.79
  50. 2012-03-08 Aktiva 10 123.92
  51. 2012-03-09 Aktiva 10 124.05


dput(df[1:50,]) 数据如下所示: 
structure(list(Date = structure(c(954720000, 954806400, 954892800, 
954979200, 955065600, 955324800, 955411200, 955497600, 955584000, 
955670400, 955929600, 956016000, 956102400, 956620800, 956707200, 
956793600, 956880000, 957225600, 957312000, 957398400, 957484800, 
957744000, 957830400, 957916800, 958003200, 958089600, 958348800, 
958435200, 958608000, 958694400, 958953600, 959040000, 959126400, 
959212800, 959299200, 959558400, 959644800, 959731200, 959904000, 
960163200, 960249600, 960336000, 960422400, 960508800, 960854400, 
960940800, 961027200, 961113600, 961372800, 961459200), class = c("POSIXct", 
"POSIXt"), tzone = "UTC"), SecurityId = c(45731, 45731, 45731, 
45731, 45731, 45731, 45731, 45731, 45731, 45731, 45731, 45731, 
45731, 45731, 45731, 45731, 45731, 45731, 45731, 45731, 45731, 
45731, 45731, 45731, 45731, 45731, 45731, 45731, 45731, 45731, 
45731, 45731, 45731, 45731, 45731, 45731, 45731, 45731, 45731, 
45731, 45731, 45731, 45731, 45731, 45731, 45731, 45731, 45731, 
45731, 45731), FundId = c(109, 109, 109, 109, 109, 109, 109, 
109, 109, 109, 109, 109, 109, 109, 109, 109, 109, 109, 109, 109, 
109, 109, 109, 109, 109, 109, 109, 109, 109, 109, 109, 109, 109, 
109, 109, 109, 109, 109, 109, 109, 109, 109, 109, 109, 109, 109, 
109, 109, 109, 109), Symbol = c("AI-NORS2", "AI-NORS2", "AI-NORS2", 
"AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", 
"AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", 
"AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", 
"AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", 
"AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", 
"AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", 
"AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", 
"AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2", "AI-NORS2"), 
    ISIN = c("NO0010089576", "NO0010089576", "NO0010089576", 
    "NO0010089576", "NO0010089576", "NO0010089576", "NO0010089576", 
    "NO0010089576", "NO0010089576", "NO0010089576", "NO0010089576", 
    "NO0010089576", "NO0010089576", "NO0010089576", "NO0010089576", 
    "NO0010089576", "NO0010089576", "NO0010089576", "NO0010089576", 
    "NO0010089576", "NO0010089576", "NO0010089576", "NO0010089576", 
    "NO0010089576", "NO0010089576", "NO0010089576", "NO0010089576", 
    "NO0010089576", "NO0010089576", "NO0010089576", "NO0010089576", 
    "NO0010089576", "NO0010089576", "NO0010089576", "NO0010089576", 
    "NO0010089576", "NO0010089576", "NO0010089576", "NO0010089576", 
    "NO0010089576", "NO0010089576", "NO0010089576", "NO0010089576", 
    "NO0010089576", "NO0010089576", "NO0010089576", "NO0010089576", 
    "NO0010089576", "NO0010089576", "NO0010089576"), Name = c("ABIF Norge ++", 
    "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", 
    "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", 
    "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", 
    "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", 
    "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", 
    "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", 
    "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", 
    "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", 
    "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", 
    "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", 
    "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", 
    "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", "ABIF Norge ++", 
    "ABIF Norge ++"), NAV = c(100, 99.4291, 93.5061, 96.9827, 
    98.3752, 98.9016, 96.932, 96.6528, 95.5597, 92.9564, 90.4477, 
    91.9742, 94.0813, 94.6611, 95.7128, 94.3541, 96.9792, 98.5621, 
    99.8926, 100.9441, 100.8709, 101.4863, 101.9841, 100.9585, 
    101.6321, 103.3527, 103.3474, 104.5718, 106.1602, 104.2994, 
    103.8382, 103.5229, 101.8999, 103.1289, 101.968, 101.0299, 
    102.4697, 102.1109, 104.3061, 103.2584, 102.2464, 101.8824, 
    102.7758, 103.4881, 103.2249, 103.9476, 103.5058, 104.2614, 
    103.3023, 103.4716), NAVAdj = c(98.149473714552, 97.5891383691156, 
    91.7757450410027, 95.1880096441628, 96.554741065638, 97.0713998952714, 
    95.1382478609895, 94.8642145303785, 93.7913426332048, 91.2362173839938, 
    88.7739415369168, 90.2721932531695, 92.3403008138088, 92.9093714624058, 
    93.9416094774617, 92.6080525781021, 95.1845744125828, 96.7381824320104, 
    98.0440611797826, 99.0761028958911, 99.004257481132, 99.6082693423714, 
    100.096857422522, 99.090236420106, 99.7513712750472, 101.44013111978, 
    101.434929197673, 102.636671353834, 104.195677594316, 102.369312187435, 
    101.916646814664, 101.607181524042, 100.014215565655, 101.220472597607, 
    100.081055357254, 99.1603151443382, 100.57347126688, 100.221310955192, 
    102.375888202174, 101.347576166067, 100.354303492076, 99.9970394077547, 
    100.873906805921, 101.573025507189, 101.314696092373, 102.024022338908, 
    101.590397964037, 102.332015387424, 101.390663785028, 101.556830844026
    ), Dividends = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), CorpAdj = c(1, 
    1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 
    1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 
    1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), DividendAdj = c(0.98149473714552, 
    0.98149473714552, 0.98149473714552, 0.98149473714552, 0.98149473714552, 
    0.98149473714552, 0.98149473714552, 0.98149473714552, 0.98149473714552, 
    0.98149473714552, 0.98149473714552, 0.98149473714552, 0.98149473714552, 
    0.98149473714552, 0.98149473714552, 0.98149473714552, 0.98149473714552, 
    0.98149473714552, 0.98149473714552, 0.98149473714552, 0.98149473714552, 
    0.98149473714552, 0.98149473714552, 0.98149473714552, 0.98149473714552, 
    0.98149473714552, 0.98149473714552, 0.98149473714552, 0.98149473714552, 
    0.98149473714552, 0.98149473714552, 0.98149473714552, 0.98149473714552, 
    0.98149473714552, 0.98149473714552, 0.98149473714552, 0.98149473714552, 
    0.98149473714552, 0.98149473714552, 0.98149473714552, 0.98149473714552, 
    0.98149473714552, 0.98149473714552, 0.98149473714552, 0.98149473714552, 
    0.98149473714552, 0.98149473714552, 0.98149473714552, 0.98149473714552, 
    0.98149473714552), lnDeltaNAV = c(0, -0.00572535863116119, 
    -0.0614181525486561, 0.0365059372732999, 0.0142561276907758, 
    0.00533667668298765, -0.0201157147168702, -0.00288452599160749, 
    -0.011373992683045, -0.027620617044005, -0.0273587829153019, 
    0.016736319832737, 0.0226511991448142, 0.00614384286518277, 
    0.0110488958739232, -0.0142973147308307, 0.0274417964293168, 
    0.0161902838567531, 0.0134088024604093, 0.0104712894394297, 
    -0.000725416873969209, 0.0060823326001147, 0.00489310477802452, 
    -0.0101073774671372, 0.00664988881292139, 0.0167879804789104, 
    -5.12820264839675e-05, 0.0117777882336343, 0.0150753571586755, 
    -0.0176836646173788, -0.00443169090857154, -0.00304107417442001, 
    -0.0158018853966349, 0.0119887032476456, -0.0113206235496355, 
    -0.00924252593779595, 0.0141506324870466, -0.00350766756849463, 
    0.021270367882865, -0.0100952609714282, -0.00984899798499139, 
    -0.00356637951931749, 0.00873070978798651, 0.00690671350197469, 
    -0.00254652723566728, 0.00697682300028468, -0.00425927623174083, 
    0.0072735574356857, -0.00924156609376592, 0.0016375377920701
    ), lnDeltaOSEBX = c(0, -0.00940531538140732, -0.0515228085845063, 
    0.0330841053596203, 0.0149328822530661, 0.00140488772073599, 
    -0.0184601740944386, 0.00262641959218701, -0.012317562508172, 
    -0.0263240283504187, -0.0138437179343693, 0.0132849051679038, 
    0.0210929614810249, 0.0016248841643085, 0.00827607079901416, 
    -0.0154081787503344, 0.0261622502400947, 0.0179854981160581, 
    0.013271853834639, 0.0118876641774017, -0.000609937259577364, 
    0.00136092770291629, 0.00375227676786949, -0.00991727309818735, 
    0.00470404341043462, 0.0178788765076252, 0.000550091704436539, 
    0.015506961679753, 0.0137508866550915, -0.0167880781194372, 
    -0.00746925582682945, -0.00163624416898944, -0.0165229230024071, 
    0.0105430179398134, -0.0133781957394445, -0.00546854351296844, 
    0.00984014548362389, -0.00321159549991012, 0.018852089647897, 
    -0.00986344346201573, -0.0101602069993261, 0.000661533679649828, 
    0.0073117003894172, 0.00344172289439459, 0.00378742002574128, 
    0.0007234081265306, -0.00095362267457233, 0.00833764093971467, 
    -0.000905517713564841, -0.00730795598720579), lnDeltaOBX = c(0, 
    -0.00675924299385855, -0.0446627432412416, 0.0271511087647243, 
    0.0104352836056094, 0.00252750079747255, -0.0139940420412588, 
    0.000443962766651929, -0.0134847680574186, -0.0212769716066035, 
    -0.0129102509389352, 0.0167416215616996, 0.0179482930426307, 
    0.00615727334394656, 0.0110326474282347, -0.0133618870045504, 
    0.0222017092722471, 0.0151286494232705, 0.00551851236591716, 
    0.00800823957119601, -0.00142848216759983, 0.00617540558679863, 
    0.00572868073875021, -0.00951190548323133, 0.00500378510823829, 
    0.0164558409589644, -2.4488196690875e-05, 0.0111775180525235, 
    0.0216079600277741, -0.0195879405922108, -0.00801940591750494, 
    0.00259119504119276, -0.0135284308990071, 0.00875445456788881, 
    -0.0118997124506839, -0.0047675452047562, 0.0104833246950742, 
    -0.0035685318306351, 0.0184672492972027, -0.0092276363398982, 
    -0.0119552952128883, 0.00394764949324067, 0.00666321451700913, 
    0.00669200495886102, 0.00710600824465679, -0.00211320833357309, 
    0.00160644545155453, 0.0127356648288117, -0.00153836093566273, 
    -0.00467729378767778), lnDeltaOSEFX = c(0, -0.0132566852489493, 
    -0.054436017358416, 0.036447582787936, 0.0143346129652224, 
    0.00322243291943547, -0.0202744508590715, 0.00351120943021765, 
    -0.0139984771357593, -0.0264788767234734, -0.0224291179937897, 
    0.0147570608902363, 0.0256818445585978, 0.00382403430885514, 
    0.00892967356250907, -0.0176447368553463, 0.0257512997592757, 
    0.0177749823933526, 0.0117569174284275, 0.0136460053312675, 
    -0.00124573887812041, 0.00116160809454247, 0.00402634234849675, 
    -0.0105042345492476, 0.00589741004413469, 0.0189357154629182, 
    0.000452100549805046, 0.0149796051273769, 0.0122373634579906, 
    -0.0179535473500074, -0.00708298187974066, -0.000441760549906078, 
    -0.0169947891004751, 0.0138275915131079, -0.0149290919606084, 
    -0.00617441051640188, 0.0111232403312256, -0.00372148073099599, 
    0.0226673312134444, -0.00968981475443709, -0.00997237606061496, 
    -0.00060224703743561, 0.0086779720852439, 0.00319008738691462, 
    0.00133857674206705, 0.00058350744660185, -0.00325430504398128, 
    0.00767990023126242, -0.000607277053698674, -0.00564152856083044
    ), SMB = c(0.0123311034288627, 0.00915156609628357, -0.00158716760294442, 
    -0.0297416735452946, 0.0014191924545611, -0.0150755252076274, 
    0.0115701574233579, -0.00111340347515908, -0.00819114157880345, 
    -0.024104652357138, 0.0402172827616449, 0.00534146788916141, 
    -0.0154634888942257, 0.00354035521403617, 0.00206630945718951, 
    0.00110824503543285, 0.00577986123704642, -0.0091511299479988, 
    -0.00628038625739494, 0.00641233515248658, -0.00348433542025252, 
    0.00571653658752371, -0.00108622140744236, -0.00467826333193927, 
    0.0015293960849232, 0.0150302224117192, 0.0128782375422192, 
    0.00182479014151233, 0.0118018051325084, -0.00122505374600254, 
    0.0067581316644394, 0.00289618880797662, -0.00922587897314921, 
    -0.0112790492150875, -0.0131539668848055, -0.00483914410215184, 
    0.00392018158948877, -0.00654011695984795, -0.00245063806434721, 
    0.00390394664204772, -0.0119417973629864, 0.00391466483105893, 
    -0.00907824016648776, 0.00281885664081369, 0.0137050768450805, 
    0.0151027414136372, -0.00635772453077626, 0.0141303322841679, 
    -0.000411054109417454, -0.00821935988613381), HML = c(0.0811601046922382, 
    0.0263351665848042, 0.106475381968986, -0.0717486018918445, 
    -0.013401199905366, -0.0262830431094566, 0.0377662920323366, 
    -0.00983345919969417, 0.0384794311058455, 0.101128024713768, 
    0.0389117895270927, -0.0243149370435034, -0.0579205369141316, 
    -0.0174301787358929, 0.00261970745261295, 0.0318994811019162, 
    -0.0400042937351153, -0.00153694356567032, 0.0233985279797224, 
    -0.0401746710352116, 0.0190299884544687, 0.039648558170685, 
    0.0244504738247621, 0.0198792894699696, -0.00870600396129643, 
    -0.102281854622862, -0.00487726994595788, -0.0062245997679463, 
    0.0103673220988611, 0.0642078211928357, 0.000607234654230467, 
    -0.0371130284191367, 0.0309287156839412, -0.0234612031829678, 
    0.0733878599469245, 0.0385598691553834, -0.0278492201926123, 
    -0.0066708890999078, -0.0448929604242489, -0.0143415360857507, 
    -0.0238935048340895, 0.0108320873597463, -0.00762360971561658, 
    -0.00828199565147488, 0.0305644139491684, -0.0254099474698697, 
    0.0250996171797242, 0.00538982163947071, -0.00210515259916917, 
    -0.0195066162810241), LIQ = c(0.0157034253750779, 0.0227002836975072, 
    0.065738432925917, -0.0552351227361365, -0.020988058634736, 
    -0.0119287058062276, 0.0413731668748464, 0.012718095507565, 
    0.00369068026836507, 0.0276632935575419, 0.0370998398194863, 
    0.000314306564174449, -0.0340165785757102, 0.00816108559328334, 
    0.0196198820076372, 0.0206822207525292, -0.022369198083528, 
    -0.00547122285430531, -0.00349413197881119, 0.0154782104314266, 
    0.000385689216523621, 0.00781858322435598, -0.00871198187764726, 
    0.00431754203466546, -0.00946171019470503, 0.0107870226457883, 
    0.0151864839115862, -0.0116275474872604, -0.00141908832914339, 
    -0.000513165399929121, -0.00989121260626544, 0.00203118199429453, 
    -0.00133920286743205, 0.000513811721746565, -0.00890441247364418, 
    -0.000194479560384646, 0.00132777366732754, 0.0109845718520624, 
    -0.0131579761871903, 0.00169925198332302, -0.0175742369163852, 
    0.000469051062196477, 0.00340342712080001, -0.0105237634528422, 
    -0.000376810706883849, 0.0043542754059329, -0.00861982360414743, 
    0.0192809486833832, -0.0043442441716499, -0.0221072737122197
    ), MOM = c(0.0287454429557529, 0.0134782075274417, 0.00806633703967767, 
    -0.0294639612554887, 0.00283144507570127, -0.0117475999780675, 
    0.0271459089999048, -0.00805275416260212, -0.00491915532340628, 
    0.039267068265006, 0.00133730551324356, -0.00723365456343063, 
    -0.0226409142038954, 0.0145194649631461, 0.00724883603814357, 
    -0.00115205579341722, 0.016500139365733, -0.000185216749684504, 
    -0.00934779411541315, -0.0259092770501304, -0.00880067920625633, 
    0.00598712321696791, -0.000870616235833688, 0.00586781179120599, 
    0.00753842573531934, -0.00391557978990263, 0.0059364572892294, 
    -0.0135728247033562, 0.0132819781153358, 0.00189481246194319, 
    0.0103643573349146, 0.00298287034990829, 0.00989923925491796, 
    -0.0166922330388068, 0.0137537988848887, 0.0201338553207169, 
    -0.00545353385720432, -0.00659043125965345, -0.0233699553489148, 
    -0.0168952251152045, 0.00801157245015491, 0.00310250561711743, 
    -0.00582512011171042, 0.00948774604918234, 0.0156395952714775, 
    0.00142863409832036, 0.0112959563212738, -0.00791703211090294, 
    -0.0068101823373943, -0.000386985037747023)), row.names = c(NA, 
-50L), class = c("tbl_df", "tbl", "data.frame"))

最佳答案

与 tidyverse和 lubridate您可以执行以下操作。

您可以 group_by月然后filter仅显示每个月的最后一行数据。 arrange用于按 Date 排序以防万一。

编辑 : 还有 group_by year(Date)在这个例子中。结果更新了提供的新数据。

library(tidyverse)
library(lubridate)

df %>%
  group_by(Name, Year = year(Date), Month = month(Date)) %>%
  arrange(Date) %>%
  filter(NAV == last(NAV))

输出 
# A tibble: 3 x 21
# Groups:   Name, Year, Month [3]
  Date                SecurityId FundId Symbol ISIN  Name       NAV    NAVAdj Dividends CorpAdj DividendAdj   lnDeltaNAV lnDeltaOSEBX   lnDeltaOBX lnDeltaOSEFX
  <dttm>                   <dbl>  <dbl> <chr>  <chr> <chr>    <dbl>     <dbl>     <dbl>   <dbl>       <dbl>        <dbl>        <dbl>        <dbl>        <dbl>
1 2000-04-28 00:00:00      45731    109 AI-NO… NO00… ABIF…  96.9792  95.18457         0       1   0.9814947  0.02744180   0.02616225   0.02220171   0.02575130 
2 2000-05-31 00:00:00      45731    109 AI-NO… NO00… ABIF… 102.1109 100.2213          0       1   0.9814947 -0.003507668 -0.003211595 -0.003568532 -0.003721481
3 2000-06-20 00:00:00      45731    109 AI-NO… NO00… ABIF… 103.4716 101.5568          0       1   0.9814947  0.001637538 -0.007307956 -0.004677294 -0.005641529
# … with 6 more variables: SMB <dbl>, HML <dbl>, LIQ <dbl>, MOM <dbl>, Year <dbl>, Month <dbl>

关于r - 将日 yield 转换为 r 中的月 yield ，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/60931864/

28 4 0
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