Sabtu, 31 Maret 2012

Kesimpulan hasil beta saham


Beta saham merupakan perbandingan antara return saham dengan return pasar.
Beta menggambarkan nilai reskio suatu saham. Apabila beta saham tinggi, berarti resiko terhadap saham tersebut tinggi dan memiliki tingkat pengembalian investasi yang tinggi juga.
Beta saham yang rendah (β<1) berarti tingkat resiko saham rendah,dan tingkat pengembalian investasi rendah. Pergerakan beta saham yang bernilai kurang dari satu juga cendrung lambat.
Untuk para investor di pasar modal, Beta ini juga bisa menjadi salah satu alat ukur sebelum menentukan investasi yang akan dilakukan. Bila ingin mendapatkan keuntungan yang besar (tapi dengan kemungkinan  rugi yang besar juga) maka bisa melakukan investasi pada saham dengan Beta yang tinggi. Tapi bila ingin melakukan investasi yang bersifat lebih aman, maka taruhlah pada saham dengan Beta yang rendah.
Namun penggunaan Beta dalam analisa investasi juga memiliki beberapa kelemahan. Pertama, Beta dihitung berdasarkan data historis dimana data historis tidak selalu menjadi alat ukur yang akurat untuk masa depan. Kedua Beta tidak melihat kepada perubahan – perubahan yang sedang terjadi pada waktu tersebut (misalnya kebijakan pemerintah yang baru) yang mungkin mempengaruhi harga saham.
Karena itu melihat pada kelemahan – kelemahan tersebut, sangat dianjurkan bagi Investor untuk mempergunakan Analisa Beta ini di dalam pengambilan keputusan investasi yang bersifat jangka pendek saja dimana perubahan – perubahan harga akan sangat berpengaruh. Jadi bagi investor yang bermaksud membeli dan menjual saham dalam jangka pendek, analisa Beta dapat menjadi salah satu analisa risiko yang baik.

Untuk investasi yang bersifat jangka panjang, investor harus tetap memperhatikan fundamental dari suatu perusahaan yang akan memberikan gambaran yang lebih baik terhadap risiko jangka panjang dari suatu saham.
Dari hasil regresi di atas, persamaan regresi yang didapat pada perusahaan Berlian laju tanker.Tbk
Y=α+βX
Y=Return saham
α=Intercept
β=Koefisien regresi (mewakili beta saham)
X= return pasar
Untuk Return saham BLTA dengan return pasar IHSG Ri= 0-0.071490251
Untuk Return sahar BLTA dengan returnn pasar LQ45 Ri= 0-0.075350660025159
Beta merupakan koefisien parameter dari variabel return pasar (Rm), yaitu sebesar 0.071490251 dan 0.075350660025159 Koefisien ini adalah signifikan dengan p-value sebesar 0 (signifikan lebih kecil dari5%).
KESIMPULAN :
Dari analisis regresi terhadap Return saham ELSA dan Return Pasar IHSG  dapat disimpulkan bahwa saham Elnusa.Tbk memiliki resiko saham yang lebih rendah dan lebih menguntungkan, karena memiliki beta saham yang lebih kecil dari satu 0.071490251. Saham yang memiliki beta kurang dari satu bisa disebut sebagai saham lemah, karena pergerakan sahamnya cendrung lambat dari pergerakan pasarnya.
Beta saham sebesar 0.071490251memilki nilai lebih kecil dari 1 (β<1) menunjukkan bahwa resiko return saham Elnusa.Tbk memiliki resiko yang lebih kecil dari return pasar (IHSG), hal ini menunjukkan bahwa, saham ELSA relatif aman untuk dibeli investor karena resikonya lebih kecil dari pada resiko pasar . Selain itu beta berpengaruh positif terhadap return saham,Artinya semakin besar beta maka akan mempengaruhi besar return saham sebesar 7,41%.

Resiko saham ELSA yang lebih kecil dari resiko pasar, dan beta yang mampu meningkatkan return saham sebesar 7.41%.  menjadi pertimbangan sendiri bagi investor untuk menanamkan modalnya.


Dari hasil analisis regresi terhadap return saham dan return pasar LQ45 menggambarkan hasil yang sama dengan regresi terhadap return saham dan return pasar IHSG ,

Beta saham sebesar 0.075350660025159 lebih kecil dari 1 (β<1) menunjukkan bahwa saham tersebut memiliki pergerakan yang lambat dari pergerakan pasarnya. Memiliki resiko yang lebih kecil dibandingkan dengan resiko pasar.
Selain itu, beta berpengaruh positif terhadap return saham sebesar 0.075350660025159. Artinya, semakin besar beta maka akan memperbesar return saham Elnusa sebesar 7,53%. Hal ini tentu akan menjadi pertimbangan tersendiri bagi para investor untuk menanamkan modalnya dalam bentuk saham pada perusahaan Elnusa.





Analisis return saham PT Elnusa Tbk


SUMMARY OUTPUT
Regression Statistics
Multiple R 0.038210222
R Square 0.001460021
Adjusted R Square -0.000431153
Standard Error 0.029946576
Observations 530
ANOVA
df SS MS F Significance F
Regression 1 0.000692344 0.000692344 0.772018306 0.379993065
Residual 528 0.473509038 0.000896797
Total 529 0.474201382
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept -0.000109534 0.001302275 -0.084110034 0.933000827 -0.002667811 0.002448742 -0.002667811 0.002448742
return lq45 -0.07535066 0.085757727 -0.878645722 0.379993065 -0.243818883 0.093117563 -0.243818883 0.093117563
RESIDUAL OUTPUT PROBABILITY OUTPUT
Observation Predicted return elnusa Residuals Standard Residuals Percentile return elnusa
1 -0.000109534 0.000109534 0.003661123 0.094339623 -0.111111111
2 5.16307E-05 -5.16307E-05 -0.001725725 0.283018868 -0.08
3 -0.000749595 -0.014876891 -0.497251246 0.471698113 -0.071428571
4 0.000329396 0.015545153 0.519587524 0.660377358 -0.067802438
5 0.002366456 0.01326003 0.443208613 0.849056604 -0.066672677
6 0.001341711 -0.016727767 -0.559115686 1.037735849 -0.061229559
7 -0.000666208 0.016292694 0.544573618 1.226415094 -0.059701493
8 9.65166E-05 -9.65166E-05 -0.003226009 1.41509434 -0.057692308
9 -0.001089395 -0.014296661 -0.477857393 1.603773585 -0.057142857
10 -0.000982561 0.000982561 0.032841505 1.79245283 -0.055555556
11 0.000562557 -0.000562557 -0.018803148 1.981132075 -0.055555556
12 -0.001576784 0.01720327 0.575009073 2.169811321 -0.054532042
13 -0.00095009 -0.014435966 -0.482513586 2.358490566 -0.049023507
14 0.000670914 -0.000670914 -0.022424905 2.547169811 -0.047619048
15 3.2477E-05 -0.015658963 -0.523391532 2.735849057 -0.046875
16 -0.000410743 0.000410743 0.013728852 2.924528302 -0.046511628
17 -0.000671864 0.000671864 0.022456656 3.113207547 -0.046511628
18 6.25537E-05 -6.25537E-05 -0.002090821 3.301886792 -0.0459813
19 0.000844366 0.07852838 2.624764454 3.490566038 -0.045454545
20 -0.000287266 -0.029127131 -0.973557048 3.679245283 -0.044947918
21 -0.000811211 0.000811211 0.027114243 3.867924528 -0.043902439
22 0.000157736 -0.000157736 -0.005272223 4.056603774 -0.041666667
23 -7.48766E-05 7.48766E-05 0.002502705 4.245283019 -0.04109589
24 -0.000475871 0.045934607 1.535336968 4.433962264 -0.040816327
25 -0.001726817 -0.012767215 -0.426736579 4.622641509 -0.04
26 -0.001184651 0.001184651 0.039596241 4.811320755 -0.038461538
27 -0.000425215 0.029839612 0.997371311 5 -0.037738738
28 -0.000102324 -0.014184632 -0.474112901 5.188679245 -0.037735849
29 0.000266873 -0.014760905 -0.493374471 5.377358491 -0.037433155
30 -8.92426E-05 -0.014617956 -0.488596493 5.566037736 -0.03703982
31 -0.002997544 0.017924273 0.59910817 5.754716981 -0.037037037
32 0.000552306 0.190641274 6.372071372 5.943396226 -0.037021732
33 -0.000232088 0.185406142 6.197090202 6.132075472 -0.035714286
34 0.001310902 -0.001310902 -0.043816136 6.320754717 -0.035090841
35 -0.000568221 -0.030684421 -1.025608543 6.509433962 -0.034887012
36 -0.001730867 0.012484494 0.417286785 6.698113208 -0.034482759
37 -0.000919862 0.043476726 1.453183757 6.886792453 -0.033898305
38 -0.000468301 0.12290672 4.108084111 7.075471698 -0.033333333
39 0.000468639 0.07226534 2.415426073 7.264150943 -0.033333333
40 -8.73912E-05 -0.016863218 -0.563643055 7.452830189 -0.032969973
41 0.000513427 -0.017756314 -0.59349425 7.641509434 -0.032786885
42 -0.001586396 -0.033504445 -1.119866175 7.830188679 -0.032258065
43 -0.001696282 0.14716424 4.91887731 8.018867925 -0.032258065
44 6.47736E-05 -0.031813361 -1.063342692 8.20754717 -0.032258065
45 -0.000379666 -0.016015139 -0.535296519 8.396226415 -0.031748587
46 0.001370214 -0.018038289 -0.602919107 8.58490566 -0.031746032
47 0.000113118 -0.067915555 -2.270037105 8.773584906 -0.031746032
48 -0.001246644 -0.053285398 -1.781032784 8.962264151 -0.031746032
49 -0.000282289 0.019514559 0.652262531 9.150943396 -0.031252641
50 -2.73944E-05 2.73944E-05 0.000915642 9.339622642 -0.03125
51 -0.000581344 0.000581344 0.019431073 9.528301887 -0.03030303
52 0.000568323 -0.000568323 -0.018995851 9.716981132 -0.029850746
53 0.000943517 0.036776083 1.229218732 9.905660377 -0.029414397
54 -0.001594283 -0.016589211 -0.554484541 10.09433962 -0.028985507
55 -0.000857058 -0.036164674 -1.208782752 10.28301887 -0.028571429
56 -0.000476962 0.019709232 0.658769371 10.47169811 -0.028571429
57 -4.87521E-06 -0.018864494 -0.630534497 10.66037736 -0.028571429
58 -0.000622945 0.019855215 0.663648764 10.8490566 -0.028171429
59 0.000316071 -0.000316071 -0.010564495 11.03773585 -0.027777778
60 0.001061898 -0.038800636 -1.296888201 11.22641509 -0.027399544
61 -0.000653349 0.000653349 0.021837811 11.41509434 -0.02739726
62 -0.00138449 -0.047639018 -1.592305874 11.60377358 -0.02666883
63 -4.56272E-07 0.010310597 0.344625582 11.79245283 -0.026315789
64 -6.87353E-05 -0.061160824 -2.044264212 11.98113208 -0.025976079
65 0.003041599 -0.003041599 -0.101663624 12.16981132 -0.024392054
66 0.000907436 -0.022648484 -0.757012131 12.35849057 -0.0240743
67 0.002052536 -0.068725213 -2.297099437 12.54716981 -0.0240743
68 -0.003558881 0.003558881 0.118953494 12.73584906 -0.023809524
69 0.001063062 -0.012968974 -0.433480264 12.9245283 -0.023809524
70 -0.001201755 0.001201755 0.040167937 13.11320755 -0.023255814
71 -0.000424005 -0.023650296 -0.790497086 13.30188679 -0.023255814
72 0.001004999 -0.001004999 -0.033591493 13.49056604 -0.023255814
73 -0.00068419 -0.03635563 -1.215165334 13.67924528 -0.023255814
74 0.00299271 0.163660953 5.47027015 13.86792453 -0.023255814
75 0.001002472 -0.033972445 -1.135508791 14.05660377 -0.023255814
76 0.001920309 0.009444375 0.315672619 14.24528302 -0.023255814
77 0.000265113 -0.045213031 -1.511218717 14.43396226 -0.022729368
78 0.002464355 0.009301474 0.310896233 14.62264151 -0.022727273
79 -0.006100537 0.017729541 0.592599388 14.81132075 -0.022222222
80 -0.000678666 0.000678666 0.022683995 15 -0.021741048
81 -0.002691568 -0.043289731 -1.446933561 15.18867925 -0.02173913
82 0.002151304 -0.014176234 -0.4738322 15.37735849 -0.021276596
83 -0.000391056 -0.011804971 -0.394574139 15.56603774 -0.021276596
84 -0.002438749 0.014785356 0.494191728 15.75471698 -0.021276596
85 -0.000454793 0.012626082 0.422019287 15.94339623 -0.021276596
86 0.002039178 0.058207675 1.945556973 16.13207547 -0.021276596
87 -0.000960003 -0.021769365 -0.727628112 16.32075472 -0.020833333
88 -0.000127725 -0.034759287 -1.161808527 16.50943396 -0.020833333
89 0.000513002 -0.024587302 -0.821815972 16.69811321 -0.020833333
90 -0.001037717 0.038052493 1.271881978 16.88679245 -0.020833333
91 -0.000878717 0.000878717 0.029370604 17.0754717 -0.020833333
92 -0.000277817 -0.011628095 -0.388662161 17.26415094 -0.020408163
93 -0.000977975 -0.011046954 -0.369237893 17.45283019 -0.020408163
94 -0.001015702 0.01318699 0.440767317 17.64150943 -0.020408163
95 -0.001354489 0.001354489 0.045272983 17.83018868 -0.020408163
96 -0.000456053 -0.011568876 -0.386682825 18.01886792 -0.020408163
97 7.21476E-05 -0.024464202 -0.817701412 18.20754717 -0.02
98 0.000128015 -0.012628966 -0.422115683 18.39622642 -0.02
99 0.0002082 -0.0002082 -0.006958953 18.58490566 -0.02
100 -0.001097352 -0.011561851 -0.386448007 18.77358491 -0.02
101 -0.000324751 -0.012496762 -0.417696859 18.96226415 -0.02
102 0.00161907 0.01136897 0.380001055 19.1509434 -0.02
103 -0.000575604 -0.012245909 -0.409312225 19.33962264 -0.02
104 0.000920697 -0.026896776 -0.899008764 19.52830189 -0.019607843
105 0.000125279 -0.026794109 -0.89557718 19.71698113 -0.019607843
106 -0.000307177 0.000307177 0.010267218 19.90566038 -0.018869369
107 -0.001110015 -0.012589757 -0.420805144 20.09433962 -0.018867925
108 0.000116988 -0.000116988 -0.003910252 20.28301887 -0.018183495
109 -0.000334067 -0.013555996 -0.453101117 20.47169811 -0.017857143
110 -0.000705176 -0.027466253 -0.91804318 20.66037736 -0.01754386
111 -0.000563008 0.000563008 0.01881821 20.8490566 -0.01754386
112 -0.00019627 0.029184333 0.975469015 21.03773585 -0.017242887
113 -0.000557152 0.02872858 0.960235734 21.22641509 -0.017241379
114 -0.000254379 -0.013445393 -0.44940427 21.41509434 -0.017241379
115 -0.000437741 0.014327803 0.478898319 21.60377358 -0.017241379
116 0.000366375 -0.02776592 -0.928059375 21.79245283 -0.017241379
117 -0.000550624 0.000550624 0.018404286 21.98113208 -0.017241379
118 -0.000523406 0.000523406 0.01749455 22.16981132 -0.016950609
119 0.000120142 -0.000120142 -0.004015677 22.35849057 -0.016949153
120 -0.000936568 -0.027634861 -0.9236788 22.54716981 -0.016949153
121 0.000435835 0.014270047 0.476967842 22.73584906 -0.016949153
122 -0.000559585 0.000559585 0.018703811 22.9245283 -0.016949153
123 -0.000215931 -0.014276822 -0.477194313 23.11320755 -0.016668075
124 -0.0011592 0.015865083 0.530280971 23.30188679 -0.016666667
125 0.000764111 -0.015256865 -0.509951641 23.49056604 -0.016666667
126 0.000356681 -0.000356681 -0.011921857 23.67924528 -0.016666667
127 0.002224489 -0.016930371 -0.565887612 23.86792453 -0.016666667
128 -0.000215642 0.015141015 0.506079424 24.05660377 -0.016666667
129 -0.001686983 -0.013018899 -0.435148974 24.24528302 -0.016666667
130 -0.000475377 0.000475377 0.015889204 24.43396226 -0.016666667
131 -0.000699543 -0.029151203 -0.974361662 24.62264151 -0.016394806
132 0.000637298 -0.016021913 -0.535522942 24.81132075 -0.016393443
133 0.000493395 -0.047368395 -1.583260474 25 -0.016393443
134 0.000273923 -0.000273923 -0.009155709 25.18867925 -0.016393443
135 -0.000784673 0.000784673 0.026227214 25.37735849 -0.016393443
136 -6.01608E-05 -0.016333282 -0.545930245 25.56603774 -0.016129032
137 -0.000548988 0.000548988 0.018349593 25.75471698 -0.016129032
138 -0.001009197 0.017675864 0.590805262 25.94339623 -0.015873016
139 -0.000399497 -0.015993946 -0.534588135 26.13207547 -0.015873016
140 -0.000342397 -0.01632427 -0.54562903 26.32075472 -0.015873016
141 0.00029767 -0.017246823 -0.576464816 26.50943396 -0.015873016
142 -0.000692412 0.017933791 0.59942633 26.69811321 -0.015626486
143 -0.000151301 0.000151301 0.005057145 26.88679245 -0.015626486
144 0.001028922 -0.001028922 -0.034391119 27.0754717 -0.015625
145 4.84415E-05 -4.84415E-05 -0.001619128 27.26415094 -0.015625
146 0.000423307 0.016525846 0.552366589 27.45283019 -0.015625
147 -0.001674074 0.035007407 1.170101798 27.64150943 -0.015625
148 0.000348883 0.031909181 1.066545433 27.83018868 -0.015386056
149 -0.001150801 0.016775801 0.560721191 28.01886792 -0.015386056
150 -0.001279012 0.001279012 0.042750222 28.20754717 -0.015386056
151 -0.000393713 0.123470636 4.126932671 28.39622642 -0.015384615
152 -0.00364038 -0.037455511 -1.251928203 28.58490566 -0.015384615
153 0.000480942 -0.000480942 -0.016075191 28.77358491 -0.015151515
154 -0.000853459 0.015139174 0.506017885 28.96226415 -0.015151515
155 0.000444428 -0.000444428 -0.014854738 29.1509434 -0.014925373
156 0.000244303 -0.01432881 -0.478931952 29.33962264 -0.014925373
157 0.00034141 -0.014627124 -0.488902941 29.52830189 -0.014925373
158 2.84836E-05 -0.014521237 -0.485363732 29.71698113 -0.014925373
159 -0.001606472 0.001606472 0.053695368 29.90566038 -0.014707198
160 -0.001495966 0.016201848 0.541537153 30.09433962 -0.014705882
161 0.00013357 0.014359184 0.479947199 30.28301887 -0.014705882
162 -0.000495114 0.000495114 0.0165489 30.47169811 -0.014705882
163 -8.75804E-05 -0.028483848 -0.952055707 30.66037736 -0.014494032
164 -0.001232981 0.001232981 0.041211652 30.8490566 -0.014494032
165 -0.000719947 0.015425829 0.515599188 31.03773585 -0.014492754
166 -0.000372749 -0.014120004 -0.471952755 31.22641509 -0.014492754
167 -0.000527186 0.015233068 0.509156265 31.41509434 -0.014492754
168 0.000355075 0.05761594 1.925778567 31.60377358 -0.014492754
169 0.000959501 -0.028356761 -0.947807903 31.79245283 -0.014286956
170 -0.00030265 0.014387157 0.480882194 31.98113208 -0.014285714
171 -0.000153986 0.000153986 0.005146881 32.16981132 -0.014084507
172 -0.001357994 -0.012530895 -0.418837735 32.35849057 -0.014084507
173 -0.000365017 0.000365017 0.012200489 32.54716981 -0.013890063
174 0.000539299 -0.000539299 -0.018025747 32.73584906 -0.013888889
175 0.000697006 -0.000697006 -0.023296997 32.9245283 -0.013699772
176 -0.000564991 -0.013519517 -0.45188181 33.11320755 -0.013699772
177 0.000147384 -0.028718813 -0.959909254 33.30188679 -0.012821513
178 -0.000147012 0.014852894 0.496449159 33.49056604 -0.012821513
179 -0.00049093 -0.028494577 -0.952414312 33.67924528 -0.012659203
180 -0.001140668 0.001140668 0.038126142 33.86792453 -0.012500951
181 -0.000410353 0.000410353 0.013715814 34.05660377 -0.012196027
182 0.000576269 -0.015501642 -0.518133167 34.24528302 -0.01202493
183 -0.000182328 -0.014969187 -0.500336179 34.43396226 -0.01202493
184 -0.000102821 0.015487437 0.517658379 34.62264151 -0.01202493
185 -0.000284087 0.015435602 0.515925827 34.81132075 -0.011905912
186 0.000406214 0.014519159 0.485294262 35 -0.011905912
187 0.000541281 -0.015247163 -0.509627365 35.18867925 -0.01
188 -0.000701391 -0.014223982 -0.475428139 35.37735849 0
189 -0.000700154 -0.029602876 -0.989458566 35.56603774 0
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