Correlation Between Satyamitra Kemas and MNC Vision
Can any of the company-specific risk be diversified away by investing in both Satyamitra Kemas and MNC Vision at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Satyamitra Kemas and MNC Vision into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Satyamitra Kemas Lestari and MNC Vision Networks, you can compare the effects of market volatilities on Satyamitra Kemas and MNC Vision and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Satyamitra Kemas with a short position of MNC Vision. Check out your portfolio center. Please also check ongoing floating volatility patterns of Satyamitra Kemas and MNC Vision.
Diversification Opportunities for Satyamitra Kemas and MNC Vision
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Satyamitra and MNC is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Satyamitra Kemas Lestari and MNC Vision Networks in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MNC Vision Networks and Satyamitra Kemas is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Satyamitra Kemas Lestari are associated (or correlated) with MNC Vision. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MNC Vision Networks has no effect on the direction of Satyamitra Kemas i.e., Satyamitra Kemas and MNC Vision go up and down completely randomly.
Pair Corralation between Satyamitra Kemas and MNC Vision
Assuming the 90 days trading horizon Satyamitra Kemas Lestari is expected to generate 0.44 times more return on investment than MNC Vision. However, Satyamitra Kemas Lestari is 2.29 times less risky than MNC Vision. It trades about -0.2 of its potential returns per unit of risk. MNC Vision Networks is currently generating about -0.17 per unit of risk. If you would invest 18,400 in Satyamitra Kemas Lestari on September 19, 2024 and sell it today you would lose (3,000) from holding Satyamitra Kemas Lestari or give up 16.3% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.44% |
Values | Daily Returns |
Satyamitra Kemas Lestari vs. MNC Vision Networks
Performance |
Timeline |
Satyamitra Kemas Lestari |
MNC Vision Networks |
Satyamitra Kemas and MNC Vision Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Satyamitra Kemas and MNC Vision
The main advantage of trading using opposite Satyamitra Kemas and MNC Vision positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Satyamitra Kemas position performs unexpectedly, MNC Vision can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in MNC Vision will offset losses from the drop in MNC Vision's long position.Satyamitra Kemas vs. Lotte Chemical Titan | Satyamitra Kemas vs. Agro Yasa Lestari | Satyamitra Kemas vs. Era Mandiri Cemerlang | Satyamitra Kemas vs. Jasnita Telekomindo Tbk |
MNC Vision vs. Mnc Land Tbk | MNC Vision vs. MNC Studios International | MNC Vision vs. Puradelta Lestari PT | MNC Vision vs. Link Net Tbk |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
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