Correlation Between Multi Spunindo and Multi Medika
Can any of the company-specific risk be diversified away by investing in both Multi Spunindo and Multi Medika 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 Multi Spunindo and Multi Medika into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Multi Spunindo Jaya and Multi Medika Internasional, you can compare the effects of market volatilities on Multi Spunindo and Multi Medika 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 Multi Spunindo with a short position of Multi Medika. Check out your portfolio center. Please also check ongoing floating volatility patterns of Multi Spunindo and Multi Medika.
Diversification Opportunities for Multi Spunindo and Multi Medika
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Multi and Multi is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Multi Spunindo Jaya and Multi Medika Internasional in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Multi Medika Interna and Multi Spunindo 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 Multi Spunindo Jaya are associated (or correlated) with Multi Medika. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Multi Medika Interna has no effect on the direction of Multi Spunindo i.e., Multi Spunindo and Multi Medika go up and down completely randomly.
Pair Corralation between Multi Spunindo and Multi Medika
Assuming the 90 days trading horizon Multi Spunindo Jaya is expected to under-perform the Multi Medika. But the stock apears to be less risky and, when comparing its historical volatility, Multi Spunindo Jaya is 5.55 times less risky than Multi Medika. The stock trades about -0.08 of its potential returns per unit of risk. The Multi Medika Internasional is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 13,000 in Multi Medika Internasional on December 30, 2024 and sell it today you would lose (3,400) from holding Multi Medika Internasional or give up 26.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Multi Spunindo Jaya vs. Multi Medika Internasional
Performance |
Timeline |
Multi Spunindo Jaya |
Multi Medika Interna |
Multi Spunindo and Multi Medika Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Multi Spunindo and Multi Medika
The main advantage of trading using opposite Multi Spunindo and Multi Medika positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Multi Spunindo position performs unexpectedly, Multi Medika 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 Multi Medika will offset losses from the drop in Multi Medika's long position.Multi Spunindo vs. Surya Citra Media | Multi Spunindo vs. Pertamina Geothermal Energy | Multi Spunindo vs. HK Metals Utama | Multi Spunindo vs. Alumindo Light Metal |
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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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