Correlation Between Saville Resources and Loncor Resources
Can any of the company-specific risk be diversified away by investing in both Saville Resources and Loncor 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 Saville Resources and Loncor Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Saville Resources and Loncor Resources, you can compare the effects of market volatilities on Saville Resources and Loncor 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 Saville Resources with a short position of Loncor Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Saville Resources and Loncor Resources.
Diversification Opportunities for Saville Resources and Loncor Resources
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Saville and Loncor is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Saville Resources and Loncor Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loncor Resources and Saville Resources 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 Saville Resources are associated (or correlated) with Loncor Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Loncor Resources has no effect on the direction of Saville Resources i.e., Saville Resources and Loncor Resources go up and down completely randomly.
Pair Corralation between Saville Resources and Loncor Resources
Assuming the 90 days horizon Saville Resources is expected to generate 3.12 times more return on investment than Loncor Resources. However, Saville Resources is 3.12 times more volatile than Loncor Resources. It trades about 0.31 of its potential returns per unit of risk. Loncor Resources is currently generating about -0.14 per unit of risk. If you would invest 28.00 in Saville Resources on September 2, 2024 and sell it today you would earn a total of 12.00 from holding Saville Resources or generate 42.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
Saville Resources vs. Loncor Resources
Performance |
Timeline |
Saville Resources |
Loncor Resources |
Saville Resources and Loncor Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Saville Resources and Loncor Resources
The main advantage of trading using opposite Saville Resources and Loncor Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Saville Resources position performs unexpectedly, Loncor 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 Loncor Resources will offset losses from the drop in Loncor Resources' long position.Saville Resources vs. Lion One Metals | Saville Resources vs. Caribbean Utilities | Saville Resources vs. Datable Technology Corp | Saville Resources vs. Canadian Utilities Limited |
Loncor Resources vs. First Majestic Silver | Loncor Resources vs. Ivanhoe Energy | Loncor Resources vs. Orezone Gold Corp |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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