Correlation Between Peel Mining and Summit Resources
Can any of the company-specific risk be diversified away by investing in both Peel Mining and Summit Resources 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 Peel Mining and Summit Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Peel Mining and Summit Resources Limited, you can compare the effects of market volatilities on Peel Mining and Summit Resources 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 Peel Mining with a short position of Summit Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Peel Mining and Summit Resources.
Diversification Opportunities for Peel Mining and Summit Resources
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between Peel and Summit is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Peel Mining and Summit Resources Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Summit Resources and Peel Mining 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 Peel Mining are associated (or correlated) with Summit Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Summit Resources has no effect on the direction of Peel Mining i.e., Peel Mining and Summit Resources go up and down completely randomly.
Pair Corralation between Peel Mining and Summit Resources
Assuming the 90 days trading horizon Peel Mining is expected to under-perform the Summit Resources. But the stock apears to be less risky and, when comparing its historical volatility, Peel Mining is 1.68 times less risky than Summit Resources. The stock trades about -0.02 of its potential returns per unit of risk. The Summit Resources Limited is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 1.30 in Summit Resources Limited on November 28, 2024 and sell it today you would earn a total of 0.10 from holding Summit Resources Limited or generate 7.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
Peel Mining vs. Summit Resources Limited
Performance |
Timeline |
Peel Mining |
Summit Resources |
Peel Mining and Summit Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Peel Mining and Summit Resources
The main advantage of trading using opposite Peel Mining and Summit Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Peel Mining position performs unexpectedly, Summit Resources 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 Summit Resources will offset losses from the drop in Summit Resources' long position.Peel Mining vs. Argo Investments | Peel Mining vs. Cleanaway Waste Management | Peel Mining vs. Technology One | Peel Mining vs. Mirrabooka Investments |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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