Correlation Between Peloton Minerals and Puma Exploration
Can any of the company-specific risk be diversified away by investing in both Peloton Minerals and Puma Exploration 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 Peloton Minerals and Puma Exploration into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Peloton Minerals and Puma Exploration, you can compare the effects of market volatilities on Peloton Minerals and Puma Exploration 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 Peloton Minerals with a short position of Puma Exploration. Check out your portfolio center. Please also check ongoing floating volatility patterns of Peloton Minerals and Puma Exploration.
Diversification Opportunities for Peloton Minerals and Puma Exploration
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Peloton and Puma is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Peloton Minerals and Puma Exploration in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Puma Exploration and Peloton Minerals 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 Peloton Minerals are associated (or correlated) with Puma Exploration. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Puma Exploration has no effect on the direction of Peloton Minerals i.e., Peloton Minerals and Puma Exploration go up and down completely randomly.
Pair Corralation between Peloton Minerals and Puma Exploration
Assuming the 90 days horizon Peloton Minerals is expected to generate 0.71 times more return on investment than Puma Exploration. However, Peloton Minerals is 1.41 times less risky than Puma Exploration. It trades about 0.1 of its potential returns per unit of risk. Puma Exploration is currently generating about 0.04 per unit of risk. If you would invest 4.60 in Peloton Minerals on December 29, 2024 and sell it today you would earn a total of 1.41 from holding Peloton Minerals or generate 30.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.31% |
Values | Daily Returns |
Peloton Minerals vs. Puma Exploration
Performance |
Timeline |
Peloton Minerals |
Puma Exploration |
Peloton Minerals and Puma Exploration Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Peloton Minerals and Puma Exploration
The main advantage of trading using opposite Peloton Minerals and Puma Exploration positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Peloton Minerals position performs unexpectedly, Puma Exploration 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 Puma Exploration will offset losses from the drop in Puma Exploration's long position.Peloton Minerals vs. BTU Metals Corp | Peloton Minerals vs. Gold Springs Resource | Peloton Minerals vs. Norsemont Mining | Peloton Minerals vs. FireFox Gold Corp |
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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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