Correlation Between Jakarta Int and Pelayaran Nelly
Can any of the company-specific risk be diversified away by investing in both Jakarta Int 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 Jakarta Int and Pelayaran Nelly into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jakarta Int Hotels and Pelayaran Nelly Dwi, you can compare the effects of market volatilities on Jakarta Int 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 Jakarta Int with a short position of Pelayaran Nelly. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jakarta Int and Pelayaran Nelly.
Diversification Opportunities for Jakarta Int and Pelayaran Nelly
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Jakarta and Pelayaran is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Jakarta Int Hotels 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 Jakarta Int 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 Jakarta Int Hotels 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 Jakarta Int i.e., Jakarta Int and Pelayaran Nelly go up and down completely randomly.
Pair Corralation between Jakarta Int and Pelayaran Nelly
Assuming the 90 days trading horizon Jakarta Int Hotels is expected to generate 11.76 times more return on investment than Pelayaran Nelly. However, Jakarta Int is 11.76 times more volatile than Pelayaran Nelly Dwi. It trades about 0.3 of its potential returns per unit of risk. Pelayaran Nelly Dwi is currently generating about -0.04 per unit of risk. If you would invest 32,400 in Jakarta Int Hotels on September 5, 2024 and sell it today you would earn a total of 118,600 from holding Jakarta Int Hotels or generate 366.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Jakarta Int Hotels vs. Pelayaran Nelly Dwi
Performance |
Timeline |
Jakarta Int Hotels |
Pelayaran Nelly Dwi |
Jakarta Int and Pelayaran Nelly Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jakarta Int and Pelayaran Nelly
The main advantage of trading using opposite Jakarta Int and Pelayaran Nelly positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jakarta Int 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.Jakarta Int vs. Asuransi Harta Aman | Jakarta Int vs. Indosterling Technomedia Tbk | Jakarta Int vs. Indosat Tbk | Jakarta Int vs. Bank Negara Indonesia |
Pelayaran Nelly vs. Intanwijaya Internasional Tbk | Pelayaran Nelly vs. Champion Pacific Indonesia | Pelayaran Nelly vs. Mitra Pinasthika Mustika | Pelayaran Nelly vs. Jakarta Int Hotels |
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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