Correlation Between Jaya Konstruksi and Pelayaran Nelly
Can any of the company-specific risk be diversified away by investing in both Jaya Konstruksi and Pelayaran Nelly 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 Konstruksi and Pelayaran Nelly into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jaya Konstruksi Manggala and Pelayaran Nelly Dwi, you can compare the effects of market volatilities on Jaya Konstruksi and Pelayaran Nelly 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 Konstruksi with a short position of Pelayaran Nelly. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jaya Konstruksi and Pelayaran Nelly.
Diversification Opportunities for Jaya Konstruksi and Pelayaran Nelly
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Jaya and Pelayaran is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Jaya Konstruksi Manggala and Pelayaran Nelly Dwi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pelayaran Nelly Dwi and Jaya Konstruksi 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 Konstruksi Manggala are associated (or correlated) with Pelayaran Nelly. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pelayaran Nelly Dwi has no effect on the direction of Jaya Konstruksi i.e., Jaya Konstruksi and Pelayaran Nelly go up and down completely randomly.
Pair Corralation between Jaya Konstruksi and Pelayaran Nelly
Assuming the 90 days trading horizon Jaya Konstruksi Manggala is expected to under-perform the Pelayaran Nelly. In addition to that, Jaya Konstruksi is 1.14 times more volatile than Pelayaran Nelly Dwi. It trades about -0.3 of its total potential returns per unit of risk. Pelayaran Nelly Dwi is currently generating about -0.34 per unit of volatility. If you would invest 45,400 in Pelayaran Nelly Dwi on October 12, 2024 and sell it today you would lose (2,600) from holding Pelayaran Nelly Dwi or give up 5.73% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jaya Konstruksi Manggala vs. Pelayaran Nelly Dwi
Performance |
Timeline |
Jaya Konstruksi Manggala |
Pelayaran Nelly Dwi |
Jaya Konstruksi and Pelayaran Nelly Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jaya Konstruksi and Pelayaran Nelly
The main advantage of trading using opposite Jaya Konstruksi and Pelayaran Nelly positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jaya Konstruksi position performs unexpectedly, Pelayaran Nelly 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 Pelayaran Nelly will offset losses from the drop in Pelayaran Nelly's long position.Jaya Konstruksi vs. Jaya Real Property | Jaya Konstruksi vs. Perdana Gapura Prima | Jaya Konstruksi vs. Jakarta Int Hotels | Jaya Konstruksi vs. Mnc Land 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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