Correlation Between Petrosea Tbk and Merdeka Copper
Can any of the company-specific risk be diversified away by investing in both Petrosea Tbk and Merdeka Copper 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 Petrosea Tbk and Merdeka Copper into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Petrosea Tbk and Merdeka Copper Gold, you can compare the effects of market volatilities on Petrosea Tbk and Merdeka Copper 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 Petrosea Tbk with a short position of Merdeka Copper. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petrosea Tbk and Merdeka Copper.
Diversification Opportunities for Petrosea Tbk and Merdeka Copper
-0.75 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Petrosea and Merdeka is -0.75. Overlapping area represents the amount of risk that can be diversified away by holding Petrosea Tbk and Merdeka Copper Gold in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Merdeka Copper Gold and Petrosea Tbk 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 Petrosea Tbk are associated (or correlated) with Merdeka Copper. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Merdeka Copper Gold has no effect on the direction of Petrosea Tbk i.e., Petrosea Tbk and Merdeka Copper go up and down completely randomly.
Pair Corralation between Petrosea Tbk and Merdeka Copper
Assuming the 90 days trading horizon Petrosea Tbk is expected to generate 1.62 times more return on investment than Merdeka Copper. However, Petrosea Tbk is 1.62 times more volatile than Merdeka Copper Gold. It trades about 0.11 of its potential returns per unit of risk. Merdeka Copper Gold is currently generating about -0.04 per unit of risk. If you would invest 451,994 in Petrosea Tbk on September 13, 2024 and sell it today you would earn a total of 2,188,006 from holding Petrosea Tbk or generate 484.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.79% |
Values | Daily Returns |
Petrosea Tbk vs. Merdeka Copper Gold
Performance |
Timeline |
Petrosea Tbk |
Merdeka Copper Gold |
Petrosea Tbk and Merdeka Copper Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Petrosea Tbk and Merdeka Copper
The main advantage of trading using opposite Petrosea Tbk and Merdeka Copper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petrosea Tbk position performs unexpectedly, Merdeka Copper 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 Merdeka Copper will offset losses from the drop in Merdeka Copper's long position.Petrosea Tbk vs. Kedaung Indah Can | Petrosea Tbk vs. Kabelindo Murni Tbk | Petrosea Tbk vs. Champion Pacific Indonesia | Petrosea Tbk vs. Bhuwanatala Indah Permai |
Merdeka Copper vs. Kedaung Indah Can | Merdeka Copper vs. Kabelindo Murni Tbk | Merdeka Copper vs. Champion Pacific Indonesia | Merdeka Copper vs. Bhuwanatala Indah Permai |
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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