Correlation Between J Resources and PT Indonesia
Can any of the company-specific risk be diversified away by investing in both J Resources and PT Indonesia 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 J Resources and PT Indonesia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between J Resources Asia and PT Indonesia Kendaraan, you can compare the effects of market volatilities on J Resources and PT Indonesia 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 J Resources with a short position of PT Indonesia. Check out your portfolio center. Please also check ongoing floating volatility patterns of J Resources and PT Indonesia.
Diversification Opportunities for J Resources and PT Indonesia
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between PSAB and IPCC is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding J Resources Asia and PT Indonesia Kendaraan in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Indonesia Kendaraan and J Resources 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 J Resources Asia are associated (or correlated) with PT Indonesia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Indonesia Kendaraan has no effect on the direction of J Resources i.e., J Resources and PT Indonesia go up and down completely randomly.
Pair Corralation between J Resources and PT Indonesia
Assuming the 90 days trading horizon J Resources Asia is expected to generate 3.29 times more return on investment than PT Indonesia. However, J Resources is 3.29 times more volatile than PT Indonesia Kendaraan. It trades about 0.04 of its potential returns per unit of risk. PT Indonesia Kendaraan is currently generating about 0.11 per unit of risk. If you would invest 28,400 in J Resources Asia on September 16, 2024 and sell it today you would earn a total of 1,800 from holding J Resources Asia or generate 6.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
J Resources Asia vs. PT Indonesia Kendaraan
Performance |
Timeline |
J Resources Asia |
PT Indonesia Kendaraan |
J Resources and PT Indonesia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with J Resources and PT Indonesia
The main advantage of trading using opposite J Resources and PT Indonesia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if J Resources position performs unexpectedly, PT Indonesia 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 PT Indonesia will offset losses from the drop in PT Indonesia's long position.J Resources vs. Kedaung Indah Can | J Resources vs. Kabelindo Murni Tbk | J Resources vs. Champion Pacific Indonesia | J Resources vs. Bhuwanatala Indah Permai |
PT Indonesia vs. Jasa Armada Indonesia | PT Indonesia vs. Cikarang Listrindo Tbk | PT Indonesia vs. Mitra Pinasthika Mustika | PT Indonesia vs. Wijaya Karya Bangunan |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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