Correlation Between Multi Bintang and Pyridam Farma
Can any of the company-specific risk be diversified away by investing in both Multi Bintang and Pyridam Farma 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 Bintang and Pyridam Farma into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Multi Bintang Indonesia and Pyridam Farma Tbk, you can compare the effects of market volatilities on Multi Bintang and Pyridam Farma 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 Bintang with a short position of Pyridam Farma. Check out your portfolio center. Please also check ongoing floating volatility patterns of Multi Bintang and Pyridam Farma.
Diversification Opportunities for Multi Bintang and Pyridam Farma
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Multi and Pyridam is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Multi Bintang Indonesia and Pyridam Farma Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pyridam Farma Tbk and Multi Bintang 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 Bintang Indonesia are associated (or correlated) with Pyridam Farma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pyridam Farma Tbk has no effect on the direction of Multi Bintang i.e., Multi Bintang and Pyridam Farma go up and down completely randomly.
Pair Corralation between Multi Bintang and Pyridam Farma
Assuming the 90 days trading horizon Multi Bintang Indonesia is expected to generate 0.17 times more return on investment than Pyridam Farma. However, Multi Bintang Indonesia is 5.78 times less risky than Pyridam Farma. It trades about -0.01 of its potential returns per unit of risk. Pyridam Farma Tbk is currently generating about -0.02 per unit of risk. If you would invest 610,000 in Multi Bintang Indonesia on December 30, 2024 and sell it today you would lose (7,500) from holding Multi Bintang Indonesia or give up 1.23% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Multi Bintang Indonesia vs. Pyridam Farma Tbk
Performance |
Timeline |
Multi Bintang Indonesia |
Pyridam Farma Tbk |
Multi Bintang and Pyridam Farma Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Multi Bintang and Pyridam Farma
The main advantage of trading using opposite Multi Bintang and Pyridam Farma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Multi Bintang position performs unexpectedly, Pyridam Farma 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 Pyridam Farma will offset losses from the drop in Pyridam Farma's long position.Multi Bintang vs. Delta Djakarta Tbk | Multi Bintang vs. Merck Tbk | Multi Bintang vs. Mayora Indah Tbk | Multi Bintang vs. Ultra Jaya Milk |
Pyridam Farma vs. Indofarma Tbk | Pyridam Farma vs. Merck Tbk | Pyridam Farma vs. Tempo Scan Pacific | Pyridam Farma vs. Mustika Ratu 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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