Correlation Between PAM Mineral and Cisarua Mountain
Can any of the company-specific risk be diversified away by investing in both PAM Mineral and Cisarua Mountain 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 PAM Mineral and Cisarua Mountain into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PAM Mineral Tbk and Cisarua Mountain Dairy, you can compare the effects of market volatilities on PAM Mineral and Cisarua Mountain 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 PAM Mineral with a short position of Cisarua Mountain. Check out your portfolio center. Please also check ongoing floating volatility patterns of PAM Mineral and Cisarua Mountain.
Diversification Opportunities for PAM Mineral and Cisarua Mountain
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between PAM and Cisarua is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding PAM Mineral Tbk and Cisarua Mountain Dairy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cisarua Mountain Dairy and PAM Mineral 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 PAM Mineral Tbk are associated (or correlated) with Cisarua Mountain. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cisarua Mountain Dairy has no effect on the direction of PAM Mineral i.e., PAM Mineral and Cisarua Mountain go up and down completely randomly.
Pair Corralation between PAM Mineral and Cisarua Mountain
Assuming the 90 days trading horizon PAM Mineral Tbk is expected to under-perform the Cisarua Mountain. But the stock apears to be less risky and, when comparing its historical volatility, PAM Mineral Tbk is 1.16 times less risky than Cisarua Mountain. The stock trades about -0.2 of its potential returns per unit of risk. The Cisarua Mountain Dairy is currently generating about -0.1 of returns per unit of risk over similar time horizon. If you would invest 550,000 in Cisarua Mountain Dairy on October 26, 2024 and sell it today you would lose (66,000) from holding Cisarua Mountain Dairy or give up 12.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PAM Mineral Tbk vs. Cisarua Mountain Dairy
Performance |
Timeline |
PAM Mineral Tbk |
Cisarua Mountain Dairy |
PAM Mineral and Cisarua Mountain Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PAM Mineral and Cisarua Mountain
The main advantage of trading using opposite PAM Mineral and Cisarua Mountain positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PAM Mineral position performs unexpectedly, Cisarua Mountain 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 Cisarua Mountain will offset losses from the drop in Cisarua Mountain's long position.PAM Mineral vs. Archi Indonesia Tbk | PAM Mineral vs. Bumi Resources Minerals | PAM Mineral vs. Bank Panin Syariah | PAM Mineral vs. Central Omega Resources |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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