Correlation Between Perdana Gapura and Jakarta Int
Can any of the company-specific risk be diversified away by investing in both Perdana Gapura and Jakarta Int 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 Perdana Gapura and Jakarta Int into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Perdana Gapura Prima and Jakarta Int Hotels, you can compare the effects of market volatilities on Perdana Gapura and Jakarta Int 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 Perdana Gapura with a short position of Jakarta Int. Check out your portfolio center. Please also check ongoing floating volatility patterns of Perdana Gapura and Jakarta Int.
Diversification Opportunities for Perdana Gapura and Jakarta Int
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Perdana and Jakarta is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Perdana Gapura Prima and Jakarta Int Hotels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jakarta Int Hotels and Perdana Gapura 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 Perdana Gapura Prima are associated (or correlated) with Jakarta Int. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jakarta Int Hotels has no effect on the direction of Perdana Gapura i.e., Perdana Gapura and Jakarta Int go up and down completely randomly.
Pair Corralation between Perdana Gapura and Jakarta Int
Assuming the 90 days trading horizon Perdana Gapura is expected to generate 1032.0 times less return on investment than Jakarta Int. But when comparing it to its historical volatility, Perdana Gapura Prima is 2.59 times less risky than Jakarta Int. It trades about 0.0 of its potential returns per unit of risk. Jakarta Int Hotels is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 33,800 in Jakarta Int Hotels on October 12, 2024 and sell it today you would earn a total of 109,700 from holding Jakarta Int Hotels or generate 324.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.57% |
Values | Daily Returns |
Perdana Gapura Prima vs. Jakarta Int Hotels
Performance |
Timeline |
Perdana Gapura Prima |
Jakarta Int Hotels |
Perdana Gapura and Jakarta Int Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Perdana Gapura and Jakarta Int
The main advantage of trading using opposite Perdana Gapura and Jakarta Int positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Perdana Gapura position performs unexpectedly, Jakarta Int 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 Int will offset losses from the drop in Jakarta Int's long position.Perdana Gapura vs. Surya Semesta Internusa | Perdana Gapura vs. Alam Sutera Realty | Perdana Gapura vs. Bumi Serpong Damai |
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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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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