Correlation Between PT Mulia and NFC Indonesia
Can any of the company-specific risk be diversified away by investing in both PT Mulia and NFC Indonesia 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 PT Mulia and NFC Indonesia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Mulia Industrindo and NFC Indonesia PT, you can compare the effects of market volatilities on PT Mulia and NFC Indonesia 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 PT Mulia with a short position of NFC Indonesia. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Mulia and NFC Indonesia.
Diversification Opportunities for PT Mulia and NFC Indonesia
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between MLIA and NFC is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding PT Mulia Industrindo and NFC Indonesia PT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NFC Indonesia PT and PT Mulia 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 PT Mulia Industrindo are associated (or correlated) with NFC Indonesia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NFC Indonesia PT has no effect on the direction of PT Mulia i.e., PT Mulia and NFC Indonesia go up and down completely randomly.
Pair Corralation between PT Mulia and NFC Indonesia
Assuming the 90 days trading horizon PT Mulia Industrindo is expected to generate 0.21 times more return on investment than NFC Indonesia. However, PT Mulia Industrindo is 4.81 times less risky than NFC Indonesia. It trades about -0.23 of its potential returns per unit of risk. NFC Indonesia PT is currently generating about -0.13 per unit of risk. If you would invest 36,000 in PT Mulia Industrindo on September 2, 2024 and sell it today you would lose (4,800) from holding PT Mulia Industrindo or give up 13.33% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
PT Mulia Industrindo vs. NFC Indonesia PT
Performance |
| Timeline |
| PT Mulia Industrindo |
| NFC Indonesia PT |
PT Mulia and NFC Indonesia Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with PT Mulia and NFC Indonesia
The main advantage of trading using opposite PT Mulia and NFC Indonesia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Mulia position performs unexpectedly, NFC Indonesia 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 NFC Indonesia will offset losses from the drop in NFC Indonesia's long position.| PT Mulia vs. Suparma Tbk | PT Mulia vs. Pelangi Indah Canindo | PT Mulia vs. Surya Toto Indonesia | PT Mulia vs. Lautan Luas Tbk |
| NFC Indonesia vs. M Cash Integrasi | NFC Indonesia vs. Nusantara Voucher Distribution | NFC Indonesia vs. Digital Mediatama Maxima | NFC Indonesia vs. Multipolar Technology 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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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