Correlation Between Sanatana Resources and ExGen Resources
Can any of the company-specific risk be diversified away by investing in both Sanatana Resources and ExGen 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 Sanatana Resources and ExGen Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sanatana Resources and ExGen Resources, you can compare the effects of market volatilities on Sanatana Resources and ExGen 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 Sanatana Resources with a short position of ExGen Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sanatana Resources and ExGen Resources.
Diversification Opportunities for Sanatana Resources and ExGen Resources
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Sanatana and ExGen is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Sanatana Resources and ExGen Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ExGen Resources and Sanatana 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 Sanatana Resources are associated (or correlated) with ExGen Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ExGen Resources has no effect on the direction of Sanatana Resources i.e., Sanatana Resources and ExGen Resources go up and down completely randomly.
Pair Corralation between Sanatana Resources and ExGen Resources
Assuming the 90 days horizon Sanatana Resources is expected to under-perform the ExGen Resources. In addition to that, Sanatana Resources is 1.75 times more volatile than ExGen Resources. It trades about -0.08 of its total potential returns per unit of risk. ExGen Resources is currently generating about 0.06 per unit of volatility. If you would invest 8.00 in ExGen Resources on September 4, 2024 and sell it today you would earn a total of 1.00 from holding ExGen Resources or generate 12.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sanatana Resources vs. ExGen Resources
Performance |
Timeline |
Sanatana Resources |
ExGen Resources |
Sanatana Resources and ExGen Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sanatana Resources and ExGen Resources
The main advantage of trading using opposite Sanatana Resources and ExGen Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sanatana Resources position performs unexpectedly, ExGen 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 ExGen Resources will offset losses from the drop in ExGen Resources' long position.Sanatana Resources vs. Q Gold Resources | Sanatana Resources vs. Rainy Mountain Royalty | Sanatana Resources vs. Plato Gold Corp | Sanatana Resources vs. Gunpoint Exploration |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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