Correlation Between Jakarta Int and Berlian Laju
Can any of the company-specific risk be diversified away by investing in both Jakarta Int and Berlian Laju 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 Berlian Laju 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 Berlian Laju Tanker, you can compare the effects of market volatilities on Jakarta Int and Berlian Laju 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 Berlian Laju. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jakarta Int and Berlian Laju.
Diversification Opportunities for Jakarta Int and Berlian Laju
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between Jakarta and Berlian is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding Jakarta Int Hotels and Berlian Laju Tanker in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Berlian Laju Tanker 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 Berlian Laju. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Berlian Laju Tanker has no effect on the direction of Jakarta Int i.e., Jakarta Int and Berlian Laju go up and down completely randomly.
Pair Corralation between Jakarta Int and Berlian Laju
Assuming the 90 days trading horizon Jakarta Int Hotels is expected to generate 2.29 times more return on investment than Berlian Laju. However, Jakarta Int is 2.29 times more volatile than Berlian Laju Tanker. It trades about 0.43 of its potential returns per unit of risk. Berlian Laju Tanker is currently generating about 0.0 per unit of risk. If you would invest 33,800 in Jakarta Int Hotels on September 3, 2024 and sell it today you would earn a total of 263,200 from holding Jakarta Int Hotels or generate 778.7% 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. Berlian Laju Tanker
Performance |
Timeline |
Jakarta Int Hotels |
Berlian Laju Tanker |
Jakarta Int and Berlian Laju Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jakarta Int and Berlian Laju
The main advantage of trading using opposite Jakarta Int and Berlian Laju positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jakarta Int position performs unexpectedly, Berlian Laju 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 Berlian Laju will offset losses from the drop in Berlian Laju's long position.Jakarta Int vs. Mitra Pinasthika Mustika | Jakarta Int vs. Asuransi Harta Aman | Jakarta Int vs. Indosterling Technomedia Tbk | Jakarta Int vs. Indosat Tbk |
Berlian Laju vs. Intanwijaya Internasional Tbk | Berlian Laju vs. Champion Pacific Indonesia | Berlian Laju vs. Mitra Pinasthika Mustika | Berlian Laju 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 Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
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