Secara keseluruhan, data harga saham Microsoft dari tahun 2015 hingga 2021 menunjukkan beberapa kesimpulan penting. Pertama, saham Microsoft telah mengalami peningkatan nilai yang signifikan selama periode tersebut, dimulai dengan harga $21 per saham pada tahun 2015. Peningkatan ini mencerminkan keberhasilan bisnis Microsoft dalam mengembangkan produk-produk seperti Windows dan Office, serta ekspansi mereka ke pasar baru seperti cloud computing melalui layanan Azure. Faktor-faktor ini telah menjadi penggerak utama di balik kenaikan harga saham Microsoft.
Namun, perlu diingat bahwa saham Microsoft juga mengalami tingkat volatilitas yang tinggi, khususnya selama krisis finansial tahun 2008. Meskipun terjadi penurunan harga yang signifikan pada periode tersebut, saham Microsoft pada akhirnya pulih dan melanjutkan tren kenaikan jangka panjangnya. Selain itu, Microsoft melakukan beberapa pembagian saham selama periode tersebut, yang bertujuan untuk mengurangi harga per saham dan meningkatkan likuiditas. Tindakan ini sering kali dianggap sebagai tanda kepercayaan terhadap masa depan perusahaan.
Dalam hal performa relatif, saham Microsoft telah menunjukkan kinerja yang sangat baik dibandingkan dengan indeks pasar saham yang umum seperti S&P 500. Saham Microsoft telah menjadi salah satu saham teknologi paling sukses dalam sejarah, memberikan keuntungan yang signifikan bagi para pemegang sahamnya selama bertahun-tahun.
Meskipun kesimpulan ini memberikan gambaran umum tentang perjalanan harga saham Microsoft, penting untuk diingat bahwa informasi ini bukan merupakan saran investasi. Jika Anda berniat untuk berinvestasi dalam saham Microsoft atau saham lainnya, sangat disarankan untuk melakukan penelitian yang lebih mendalam, mempertimbangkan aspek keuangan dan risiko yang terkait, serta berkonsultasi dengan profesional keuangan yang kompeten sebelum mengambil keputusan investasi.
library(readxl)
data <- read_excel("C:/Users/LENOVO/Downloads/data microsoft.xlsx",
range = "A1:F1512")
data.ts <- ts(data$High+data$Low,
frequency = 7,
start = c(2015, 4),
end = c(2021, 1511))
print(data.ts)
## Time Series:
## Start = c(2015, 4)
## End = c(2236, 6)
## Frequency = 7
## [1] 81.07 80.86 81.96 83.22 82.73 82.87 83.36 83.45 83.42 84.14
## [11] 84.16 82.90 84.85 85.68 85.68 86.41 93.79 95.35 96.91 97.81
## [21] 98.14 97.28 97.05 95.47 93.79 93.25 95.50 95.28 94.10 95.89
## [31] 96.85 96.96 95.83 94.99 95.20 94.61 94.17 93.07 94.39 95.41
## [41] 94.16 94.39 93.97 94.56 93.36 92.36 92.10 91.40 92.52 93.05
## [51] 92.37 90.67 91.54 91.43 92.97 92.82 92.88 91.90 91.80 91.56
## [61] 91.31 89.59 88.66 89.33 88.81 88.43 87.81 88.93 89.72 89.71
## [71] 90.57 91.27 91.32 92.66 93.04 93.57 93.81 92.13 91.33 92.12
## [81] 91.26 90.43 92.04 93.33 93.87 93.45 94.39 95.95 94.10 93.04
## [91] 94.33 92.84 92.61 93.59 93.62 94.02 94.13 93.38 92.13 88.55
## [101] 83.03 83.63 83.90 86.88 87.54 87.03 84.25 85.26 87.26 85.24
## [111] 87.20 87.31 86.54 86.53 86.30 87.37 88.22 89.08 87.32 88.07
## [121] 87.36 87.68 87.40 88.49 87.30 86.62 87.96 88.50 89.49 92.59
## [131] 93.40 93.30 94.02 94.46 93.57 93.69 93.63 93.56 94.44 94.90
## [141] 94.83 95.10 96.04 106.32 106.82 107.95 106.84 107.05 106.61 105.98
## [151] 107.29 108.94 108.70 108.94 108.43 107.40 107.66 107.17 105.82 106.74
## [161] 106.38 106.96 108.44 107.57 108.21 108.02 107.92 107.87 108.96 109.53
## [171] 111.02 109.70 110.33 111.26 111.09 110.38 110.67 109.11 108.89 110.99
## [181] 111.01 112.32 110.03 109.58 109.98 111.32 111.39 110.93 112.91 113.07
## [191] 111.61 108.19 109.93 108.04 105.56 105.43 104.31 105.16 105.37 104.99
## [201] 102.31 101.74 100.48 101.88 103.59 104.30 103.99 103.22 103.46 109.09
## [211] 109.59 106.91 104.65 104.18 101.56 97.76 98.91 99.91 98.62 100.43
## [221] 101.22 104.22 105.05 103.81 105.28 103.35 101.70 102.71 103.78 102.31
## [231] 103.51 105.12 104.75 104.16 102.38 102.73 104.71 104.10 105.45 106.22
## [241] 106.33 108.00 109.00 108.42 106.86 107.71 107.98 108.06 107.62 108.31
## [251] 110.54 110.45 110.18 110.66 109.76 109.41 109.14 109.60 109.45 108.54
## [261] 110.33 110.65 111.03 111.80 112.45 111.99 111.65 103.20 103.76 103.44
## [271] 102.05 100.33 99.60 100.53 100.01 99.52 100.03 100.05 100.59 101.29
## [281] 102.78 102.73 102.94 102.71 102.09 101.44 100.44 101.62 100.66 102.11
## [291] 104.28 103.34 104.09 105.08 105.39 104.58 104.02 104.24 104.83 104.31
## [301] 103.49 103.09 99.78 99.67 99.81 99.98 100.25 100.86 101.59 102.41
## [311] 103.21 100.46 97.19 98.14 100.52 101.80 102.79 102.02 101.93 102.68
## [321] 103.91 105.30 106.19 107.04 107.57 107.21 107.89 106.83 112.37 111.99
## [331] 112.41 113.00 113.80 112.91 112.09 112.81 112.89 113.21 113.60 114.19
## [341] 115.66 115.87 116.52 116.14 116.48 115.81 116.46 114.89 114.91 114.97
## [351] 114.93 115.01 116.03 115.76 116.07 116.39 116.70 115.80 115.10 114.83
## [361] 115.61 115.01 115.25 114.97 113.73 112.82 112.70 112.66 113.33 114.38
## [371] 114.60 114.10 114.93 115.63 115.29 113.97 114.74 115.73 115.38 115.11
## [381] 114.61 114.57 115.22 115.14 115.40 116.26 114.91 113.67 113.62 114.86
## [391] 114.33 115.36 115.24 114.18 119.94 120.93 122.17 121.67 120.92 120.10
## [401] 120.34 119.27 119.23 118.75 117.80 120.30 120.93 119.79 118.12 117.13
## [411] 116.36 117.81 118.47 120.92 121.44 121.39 122.07 121.35 120.66 121.23
## [421] 121.93 121.40 119.09 118.27 120.15 120.26 121.18 122.42 123.12 124.02
## [431] 125.66 125.98 125.45 125.07 126.19 126.83 126.82 127.51 126.34 127.28
## [441] 126.23 125.93 125.02 124.97 124.87 124.69 125.19 125.62 125.35 125.66
## [451] 125.35 125.22 124.73 124.82 125.18 125.19 125.69 126.68 127.55 128.09
## [461] 130.80 130.59 129.41 128.09 126.16 126.77 126.79 127.01 127.03 127.76
## [471] 128.28 128.99 128.74 128.73 129.68 128.99 129.40 128.44 128.92 128.94
## [481] 128.59 127.96 129.01 128.63 127.90 128.37 128.97 129.33 129.68 130.01
## [491] 129.76 128.70 129.17 129.06 129.92 129.90 129.63 129.26 130.01 130.21
## [501] 129.57 130.12 130.45 131.34 131.64 131.13 131.09 131.79 131.54 131.40
## [511] 131.18 130.46 130.62 130.81 130.50 130.87 130.64 130.89 132.15 134.76
## [521] 135.64 135.93 135.96 136.83 138.05 138.84 138.09 137.72 137.52 137.47
## [531] 137.96 138.48 136.85 136.65 136.05 137.60 136.53 135.27 135.53 136.00
## [541] 137.13 137.33 138.79 139.74 140.18 140.55 140.06 142.10 144.70 144.89
## [551] 144.72 144.02 140.67 138.07 140.78 140.53 139.01 139.25 141.29 140.74
## [561] 140.56 140.30 141.17 142.15 139.36 138.63 137.58 138.12 137.62 137.66
## [571] 136.90 138.54 139.45 140.43 141.83 143.35 145.23 146.17 146.05 147.49
## [581] 147.58 147.46 146.88 147.81 148.19 146.74 145.85 145.85 145.91 144.00
## [591] 144.29 145.28 145.16 144.88 144.56 143.54 143.98 146.67 146.63 147.27
## [601] 146.27 144.77 144.18 145.59 145.68 144.93 145.83 145.64 145.21 147.04
## [611] 148.76 148.38 146.87 147.39 148.20 148.28 149.25 149.61 149.78 150.01
## [621] 149.46 151.01 150.72 149.86 149.35 148.36 147.17 146.80 147.34 147.28
## [631] 148.42 149.31 149.07 148.43 151.08 151.57 152.41 152.77 152.41 153.66
## [641] 155.16 155.16 154.87 155.22 155.28 157.19 158.10 157.66 157.11 158.17
## [651] 169.81 167.44 167.47 166.64 167.58 167.94 168.78 168.83 168.44 167.17
## [661] 167.33 167.40 167.08 166.38 166.36 165.36 164.84 166.58 166.94 166.21
## [671] 167.28 169.08 168.10 167.86 168.03 165.13 163.66 164.57 164.80 167.91
## [681] 169.49 171.13 171.17 170.40 171.97 173.73 171.62 171.01 171.50 170.55
## [691] 170.56 171.20 171.48 171.55 171.81 172.48 174.23 175.84 176.18 176.59
## [701] 175.60 175.37 178.23 178.80 179.03 180.33 180.27 181.36 183.84 185.01
## [711] 185.17 186.64 189.17 185.76 188.91 189.65 185.47 181.24 176.73 180.97
## [721] 174.64 172.76 177.71 177.80 179.40 183.34 185.30 184.07 184.85 184.09
## [731] 186.43 189.70 190.04 189.34 186.41 184.01 186.53 187.43 186.37 188.87
## [741] 191.54 193.25 191.21 188.91 187.41 189.30 186.01 186.77 186.26 181.41
## [751] 177.54 184.40 183.65 180.10 180.69 178.39 177.94 180.49 184.47 181.94
## [761] 183.79 184.92 184.77 186.59 186.62 188.08 191.42 192.24 192.41 190.16
## [771] 190.92 188.88 183.58 188.25 191.81 189.55 188.08 188.36 187.38 188.29
## [781] 191.81 191.22 192.02 195.00 194.91 196.00 194.19 194.02 193.37 192.94
## [791] 194.81 195.37 195.05 195.75 196.84 196.11 197.16 198.60 200.03 202.71
## [801] 203.86 204.50 203.07 202.49 202.26 202.20 202.57 203.03 201.60 200.53
## [811] 200.50 203.64 203.34 200.40 197.41 198.83 197.42 196.37 198.24 198.06
## [821] 199.57 198.95 201.10 203.50 204.37 203.44 207.14 209.69 210.34 210.82
## [831] 210.77 209.20 214.28 214.27 216.08 218.75 220.50 216.32 212.29 212.10
## [841] 211.87 212.93 214.87 215.98 217.27 218.51 219.76 218.07 217.68 217.79
## [851] 215.81 216.16 214.59 214.38 213.20 213.12 215.05 216.12 218.15 220.29
## [861] 222.30 224.05 224.30 222.18 219.52 216.50 215.95 218.00 220.48 222.36
## [871] 225.85 226.17 225.56 225.42 224.36 225.73 228.80 227.12 228.85 228.80
## [881] 229.11 228.25 230.41 230.28 231.11 226.39 223.81 221.37 223.88 217.29
## [891] 213.13 218.36 216.43 220.36 221.36 218.36 219.07 218.78 214.08 210.08
## [901] 215.42 213.51 210.33 204.49 213.53 212.85 212.30 213.64 215.12 221.64
## [911] 223.12 220.21 216.06 215.38 212.73 211.71 215.68 212.11 202.32 206.67
## [921] 205.81 211.21 212.69 219.19 220.15 220.33 224.15 220.85 214.24 213.75
## [931] 211.87 218.39 220.31 219.50 214.76 207.51 207.03 208.23 203.09 200.46
## [941] 191.95 194.65 197.59 201.93 202.84 200.69 197.39 201.44 204.25 205.68
## [951] 208.12 206.13 205.08 204.13 206.93 211.22 211.39 213.81 211.96 212.38
## [961] 212.34 214.47 211.14 207.14 210.71 208.40 206.45 208.57 213.23 212.53
## [971] 209.88 210.04 211.55 212.62 214.49 212.95 215.66 216.44 214.23 216.35
## [981] 221.02 223.44 224.41 223.24 224.61 224.69 224.05 223.62 224.09 221.42
## [991] 219.51 223.93 226.64 228.78 229.53 231.84 233.66 235.43 235.46 237.91
## [1001] 236.63 234.33 235.56 233.73 233.71 235.28 237.21 238.00 239.58 238.61
## [1011] 239.60 238.66 238.12 239.89 240.77 241.35 242.15 241.75 242.39 244.82
## [1021] 246.57 249.41 250.37 260.20 259.54 259.53 260.09 258.35 253.52 256.68
## [1031] 254.67 251.40 251.12 249.36 251.75 248.59 249.58 250.41 255.84 258.38
## [1041] 253.35 254.11 254.76 251.03 253.39 254.05 249.43 250.54 247.94 243.38
## [1051] 243.93 250.08 253.57 260.51 266.08 265.52 262.68 264.23 265.43 266.26
## [1061] 268.81 269.74 273.38 274.19 275.40 270.32 269.34 268.22 267.76 271.67
## [1071] 271.93 274.03 273.05 272.47 272.77 275.60 277.09 277.14 278.00 275.57
## [1081] 274.15 271.29 277.12 276.52 278.02 279.59 279.93 281.98 280.88 281.02
## [1091] 275.57 277.87 273.58 264.71 268.89 267.48 274.92 275.84 273.10 273.80
## [1101] 270.59 266.83 271.18 275.44 275.95 277.49 275.49 271.15 269.46 271.38
## [1111] 269.31 275.35 275.45 272.90 274.17 279.14 278.38 276.21 271.40 271.36
## [1121] 275.29 274.63 272.36 273.95 275.20 282.44 279.90 278.07 277.57 275.99
## [1131] 278.62 277.01 277.00 277.25 269.95 269.97 274.67 275.20 273.38 275.67
## [1141] 277.92 280.53 279.81 281.60 280.52 280.44 276.56 275.51 276.27 273.06
## [1151] 279.09 280.34 289.18 287.15 287.79 287.92 287.39 289.16 288.93 287.72
## [1161] 288.65 289.75 291.15 293.63 293.74 295.41 298.26 299.53 301.53 299.30
## [1171] 298.30 299.12 301.27 303.74 304.02 303.58 300.15 296.08 299.38 299.80
## [1181] 302.14 302.14 302.65 302.20 304.46 307.72 310.72 310.16 309.66 309.52
## [1191] 314.78 315.39 314.83 316.13 317.77 315.75 314.22 319.06 318.01 315.61
## [1201] 316.99 318.75 323.25 324.40 324.57 325.32 326.51 330.27 332.90 334.62
## [1211] 333.17 332.07 331.98 323.58 328.83 334.44 344.84 341.98 344.90 356.95
## [1221] 362.61 363.88 368.11 372.09 374.20 367.70 369.10 368.06 373.20 374.65
## [1231] 368.35 360.75 337.78 342.49 341.47 325.01 315.71 335.23 337.26 336.32
## [1241] 336.56 319.11 307.75 313.61 308.85 292.05 302.64 284.35 282.50 281.02
## [1251] 289.15 282.96 273.09 290.87 298.77 305.03 304.09 310.61 321.34 308.57
## [1261] 305.84 309.57 324.08 333.26 330.17 330.70 327.87 341.75 342.81 350.18
## [1271] 355.87 353.74 339.78 344.82 345.97 345.27 350.20 345.06 349.56 356.63
## [1281] 352.65 352.80 363.55 365.83 367.13 368.36 370.36 369.34 360.59 356.37
## [1291] 364.06 370.16 370.09 369.79 369.96 367.00 367.60 358.59 364.53 364.68
## [1301] 364.46 366.35 369.52 368.14 369.74 372.99 377.96 389.53 381.83 376.90
## [1311] 374.83 387.04 390.01 390.49 393.66 395.99 405.38 399.81 396.08 394.77
## [1321] 392.08 402.14 408.12 413.02 419.22 422.66 421.95 427.85 425.16 422.30
## [1331] 410.88 416.36 408.01 406.43 415.31 421.97 420.69 413.07 400.37 404.83
## [1341] 406.44 406.66 404.03 404.11 428.08 425.08 426.57 427.92 426.63 418.23
## [1351] 410.79 415.03 419.50 417.10 420.11 421.57 421.35 423.91 429.10 427.95
## [1361] 429.71 439.45 450.55 457.22 453.01 451.88 460.21 444.27 423.55 412.23
## [1371] 421.54 418.85 409.87 413.23 416.71 415.29 404.29 399.90 399.09 410.18
## [1381] 408.13 404.77 411.58 420.63 416.88 418.52 425.31 416.53 417.39 415.00
## [1391] 416.83 419.51 427.09 440.67 445.64 443.35 436.37 441.61 436.02 430.46
## [1401] 430.04 427.76 429.44 424.44 425.00 410.94 410.73 403.91 405.40 411.24
## [1411] 430.74 445.27 442.39 446.00 426.22 430.24 433.57 431.58 432.26 431.76
## [1421] 426.10 422.96 423.29 420.45 423.11 427.75 430.31 425.60 430.67 428.27
## [1431] 430.03 428.56 428.53 429.84 426.44 423.44 422.43 429.09 427.66 434.83
## [1441] 438.81 435.71 441.28 447.48 444.36 444.81 449.05 450.76 447.10 442.68
## [1451] 437.81 434.22 428.43 433.05 437.61 435.64 430.42 430.69 430.20 426.54
## [1461] 429.61 443.08 448.72 455.87 454.00 464.26 470.58 477.73 469.37 474.93
## [1471] 481.00 484.35 483.61 483.70 484.49 486.14 486.81 487.30 488.03 489.05
## [1481] 485.25 484.79 484.04 470.33 463.56 464.20 462.47 464.91 470.62 470.75
## [1491] 460.84 456.75 459.73 460.50 467.05 469.04 473.48 469.05 467.00 476.00
## [1501] 471.78 464.52 461.82 467.04 478.12 473.32 468.51 468.26 468.68 464.95
## [1511] 471.49 81.07 80.86 81.96 83.22 82.73 82.87 83.36 83.45 83.42
## [1521] 84.14 84.16 82.90 84.85 85.68 85.68 86.41 93.79 95.35 96.91
## [1531] 97.81 98.14 97.28 97.05 95.47 93.79 93.25 95.50 95.28 94.10
## [1541] 95.89 96.85 96.96 95.83 94.99 95.20 94.61 94.17 93.07 94.39
plot(data.ts, xlab = "Periode",
ylab = "Saham",
col = "red",
main = "Saham")
points(data.ts, col ="red")