Correlation Between City Retail and Mitra Pinasthika
Can any of the company-specific risk be diversified away by investing in both City Retail and Mitra Pinasthika 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 City Retail and Mitra Pinasthika into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between City Retail Developments and Mitra Pinasthika Mustika, you can compare the effects of market volatilities on City Retail and Mitra Pinasthika 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 City Retail with a short position of Mitra Pinasthika. Check out your portfolio center. Please also check ongoing floating volatility patterns of City Retail and Mitra Pinasthika.
Diversification Opportunities for City Retail and Mitra Pinasthika
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between City and Mitra is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding City Retail Developments and Mitra Pinasthika Mustika in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mitra Pinasthika Mustika and City Retail 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 City Retail Developments are associated (or correlated) with Mitra Pinasthika. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mitra Pinasthika Mustika has no effect on the direction of City Retail i.e., City Retail and Mitra Pinasthika go up and down completely randomly.
Pair Corralation between City Retail and Mitra Pinasthika
Assuming the 90 days trading horizon City Retail Developments is expected to under-perform the Mitra Pinasthika. In addition to that, City Retail is 1.32 times more volatile than Mitra Pinasthika Mustika. It trades about -0.08 of its total potential returns per unit of risk. Mitra Pinasthika Mustika is currently generating about -0.1 per unit of volatility. If you would invest 102,000 in Mitra Pinasthika Mustika on September 4, 2024 and sell it today you would lose (3,500) from holding Mitra Pinasthika Mustika or give up 3.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.41% |
Values | Daily Returns |
City Retail Developments vs. Mitra Pinasthika Mustika
Performance |
Timeline |
City Retail Developments |
Mitra Pinasthika Mustika |
City Retail and Mitra Pinasthika Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with City Retail and Mitra Pinasthika
The main advantage of trading using opposite City Retail and Mitra Pinasthika positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if City Retail position performs unexpectedly, Mitra Pinasthika 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 Mitra Pinasthika will offset losses from the drop in Mitra Pinasthika's long position.City Retail vs. Metropolitan Land Tbk | City Retail vs. Bekasi Fajar Industrial | City Retail vs. Greenwood Sejahtera Tbk | City Retail vs. Metropolitan Kentjana 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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