Correlation Between Mnc Land and Jakarta Setiabudi
Can any of the company-specific risk be diversified away by investing in both Mnc Land and Jakarta Setiabudi 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 Mnc Land and Jakarta Setiabudi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mnc Land Tbk and Jakarta Setiabudi Internasional, you can compare the effects of market volatilities on Mnc Land and Jakarta Setiabudi 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 Mnc Land with a short position of Jakarta Setiabudi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mnc Land and Jakarta Setiabudi.
Diversification Opportunities for Mnc Land and Jakarta Setiabudi
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Mnc and Jakarta is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Mnc Land Tbk and Jakarta Setiabudi Internasiona in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jakarta Setiabudi and Mnc Land 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 Mnc Land Tbk are associated (or correlated) with Jakarta Setiabudi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jakarta Setiabudi has no effect on the direction of Mnc Land i.e., Mnc Land and Jakarta Setiabudi go up and down completely randomly.
Pair Corralation between Mnc Land and Jakarta Setiabudi
Assuming the 90 days trading horizon Mnc Land Tbk is expected to under-perform the Jakarta Setiabudi. But the stock apears to be less risky and, when comparing its historical volatility, Mnc Land Tbk is 2.94 times less risky than Jakarta Setiabudi. The stock trades about -0.04 of its potential returns per unit of risk. The Jakarta Setiabudi Internasional is currently generating about 0.3 of returns per unit of risk over similar time horizon. If you would invest 185,000 in Jakarta Setiabudi Internasional on September 12, 2024 and sell it today you would earn a total of 895,000 from holding Jakarta Setiabudi Internasional or generate 483.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Mnc Land Tbk vs. Jakarta Setiabudi Internasiona
Performance |
Timeline |
Mnc Land Tbk |
Jakarta Setiabudi |
Mnc Land and Jakarta Setiabudi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mnc Land and Jakarta Setiabudi
The main advantage of trading using opposite Mnc Land and Jakarta Setiabudi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mnc Land position performs unexpectedly, Jakarta Setiabudi 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 Jakarta Setiabudi will offset losses from the drop in Jakarta Setiabudi's long position.Mnc Land vs. Ciputra Development Tbk | Mnc Land vs. Bumi Serpong Damai | Mnc Land vs. Alam Sutera Realty | Mnc Land vs. Lippo Karawaci Tbk |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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