Correlation Between Surge Copper and Silver Elephant
Can any of the company-specific risk be diversified away by investing in both Surge Copper and Silver Elephant 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 Surge Copper and Silver Elephant into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Surge Copper Corp and Silver Elephant Mining, you can compare the effects of market volatilities on Surge Copper and Silver Elephant 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 Surge Copper with a short position of Silver Elephant. Check out your portfolio center. Please also check ongoing floating volatility patterns of Surge Copper and Silver Elephant.
Diversification Opportunities for Surge Copper and Silver Elephant
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Surge and Silver is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Surge Copper Corp and Silver Elephant Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Silver Elephant Mining and Surge Copper 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 Surge Copper Corp are associated (or correlated) with Silver Elephant. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Silver Elephant Mining has no effect on the direction of Surge Copper i.e., Surge Copper and Silver Elephant go up and down completely randomly.
Pair Corralation between Surge Copper and Silver Elephant
Assuming the 90 days horizon Surge Copper is expected to generate 3.54 times less return on investment than Silver Elephant. But when comparing it to its historical volatility, Surge Copper Corp is 1.9 times less risky than Silver Elephant. It trades about 0.05 of its potential returns per unit of risk. Silver Elephant Mining is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 17.00 in Silver Elephant Mining on September 1, 2024 and sell it today you would earn a total of 18.00 from holding Silver Elephant Mining or generate 105.88% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Surge Copper Corp vs. Silver Elephant Mining
Performance |
| Timeline |
| Surge Copper Corp |
| Silver Elephant Mining |
Surge Copper and Silver Elephant Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Surge Copper and Silver Elephant
The main advantage of trading using opposite Surge Copper and Silver Elephant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Surge Copper position performs unexpectedly, Silver Elephant 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 Silver Elephant will offset losses from the drop in Silver Elephant's long position.| Surge Copper vs. Pampa Metals | Surge Copper vs. Progressive Planet Solutions | Surge Copper vs. Searchlight Resources | Surge Copper vs. Durango 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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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