Correlation Between Maha Properti and Grand House
Can any of the company-specific risk be diversified away by investing in both Maha Properti and Grand House 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 Maha Properti and Grand House into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Maha Properti Indonesia and Grand House Mulia, you can compare the effects of market volatilities on Maha Properti and Grand House 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 Maha Properti with a short position of Grand House. Check out your portfolio center. Please also check ongoing floating volatility patterns of Maha Properti and Grand House.
Diversification Opportunities for Maha Properti and Grand House
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Maha and Grand is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Maha Properti Indonesia and Grand House Mulia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grand House Mulia and Maha Properti 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 Maha Properti Indonesia are associated (or correlated) with Grand House. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grand House Mulia has no effect on the direction of Maha Properti i.e., Maha Properti and Grand House go up and down completely randomly.
Pair Corralation between Maha Properti and Grand House
Assuming the 90 days trading horizon Maha Properti Indonesia is expected to generate 0.18 times more return on investment than Grand House. However, Maha Properti Indonesia is 5.48 times less risky than Grand House. It trades about -0.01 of its potential returns per unit of risk. Grand House Mulia is currently generating about -0.08 per unit of risk. If you would invest 202,000 in Maha Properti Indonesia on December 30, 2024 and sell it today you would lose (1,000.00) from holding Maha Properti Indonesia or give up 0.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Maha Properti Indonesia vs. Grand House Mulia
Performance |
Timeline |
Maha Properti Indonesia |
Grand House Mulia |
Maha Properti and Grand House Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Maha Properti and Grand House
The main advantage of trading using opposite Maha Properti and Grand House positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Maha Properti position performs unexpectedly, Grand House 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 Grand House will offset losses from the drop in Grand House's long position.Maha Properti vs. Pollux Properti Indonesia | Maha Properti vs. Jaya Sukses Makmur | Maha Properti vs. Metropolitan Kentjana Tbk | Maha Properti vs. Pollux Investasi Internasional |
Grand House vs. Perintis Triniti Properti | Grand House vs. Makmur Berkah Amanda | Grand House vs. Mega Manunggal Property | Grand House vs. Natura City Developments |
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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