Correlation Between Jaya Swarasa and Cisarua Mountain
Can any of the company-specific risk be diversified away by investing in both Jaya Swarasa and Cisarua Mountain 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 Jaya Swarasa and Cisarua Mountain into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jaya Swarasa Agung and Cisarua Mountain Dairy, you can compare the effects of market volatilities on Jaya Swarasa and Cisarua Mountain 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 Jaya Swarasa with a short position of Cisarua Mountain. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jaya Swarasa and Cisarua Mountain.
Diversification Opportunities for Jaya Swarasa and Cisarua Mountain
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Jaya and Cisarua is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Jaya Swarasa Agung and Cisarua Mountain Dairy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cisarua Mountain Dairy and Jaya Swarasa 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 Jaya Swarasa Agung are associated (or correlated) with Cisarua Mountain. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cisarua Mountain Dairy has no effect on the direction of Jaya Swarasa i.e., Jaya Swarasa and Cisarua Mountain go up and down completely randomly.
Pair Corralation between Jaya Swarasa and Cisarua Mountain
Assuming the 90 days trading horizon Jaya Swarasa Agung is expected to under-perform the Cisarua Mountain. In addition to that, Jaya Swarasa is 1.55 times more volatile than Cisarua Mountain Dairy. It trades about -0.14 of its total potential returns per unit of risk. Cisarua Mountain Dairy is currently generating about -0.04 per unit of volatility. If you would invest 550,000 in Cisarua Mountain Dairy on September 17, 2024 and sell it today you would lose (35,000) from holding Cisarua Mountain Dairy or give up 6.36% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jaya Swarasa Agung vs. Cisarua Mountain Dairy
Performance |
Timeline |
Jaya Swarasa Agung |
Cisarua Mountain Dairy |
Jaya Swarasa and Cisarua Mountain Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jaya Swarasa and Cisarua Mountain
The main advantage of trading using opposite Jaya Swarasa and Cisarua Mountain positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jaya Swarasa position performs unexpectedly, Cisarua Mountain 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 Cisarua Mountain will offset losses from the drop in Cisarua Mountain's long position.Jaya Swarasa vs. Sentra Food Indonesia | Jaya Swarasa vs. Garudafood Putra Putri | Jaya Swarasa vs. Wijaya Karya Bangunan | Jaya Swarasa vs. Mitrabara Adiperdana PT |
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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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
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