Correlation Between Filo Mining and Sassy Resources
Can any of the company-specific risk be diversified away by investing in both Filo Mining and Sassy 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 Filo Mining and Sassy Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Filo Mining Corp and Sassy Resources, you can compare the effects of market volatilities on Filo Mining and Sassy 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 Filo Mining with a short position of Sassy Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Filo Mining and Sassy Resources.
Diversification Opportunities for Filo Mining and Sassy Resources
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Filo and Sassy is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Filo Mining Corp and Sassy Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sassy Resources and Filo 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 Filo Mining Corp are associated (or correlated) with Sassy Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sassy Resources has no effect on the direction of Filo Mining i.e., Filo Mining and Sassy Resources go up and down completely randomly.
Pair Corralation between Filo Mining and Sassy Resources
Assuming the 90 days horizon Filo Mining Corp is expected to generate 0.1 times more return on investment than Sassy Resources. However, Filo Mining Corp is 9.98 times less risky than Sassy Resources. It trades about -0.09 of its potential returns per unit of risk. Sassy Resources is currently generating about -0.07 per unit of risk. If you would invest 2,219 in Filo Mining Corp on November 4, 2024 and sell it today you would lose (15.00) from holding Filo Mining Corp or give up 0.68% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 52.38% |
| Values | Daily Returns |
Filo Mining Corp vs. Sassy Resources
Performance |
| Timeline |
| Filo Mining Corp |
| Sassy Resources |
Filo Mining and Sassy Resources Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Filo Mining and Sassy Resources
The main advantage of trading using opposite Filo Mining and Sassy Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Filo Mining position performs unexpectedly, Sassy 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 Sassy Resources will offset losses from the drop in Sassy Resources' long position.| Filo Mining vs. Lotus Resources Limited | Filo Mining vs. Golden Goliath Resources | Filo Mining vs. Stria Lithium | Filo Mining vs. Monitor Ventures |
| Sassy Resources vs. Pan Global Resources | Sassy Resources vs. Tower Resources | Sassy Resources vs. Metals X Limited | Sassy Resources vs. Nevada King Gold |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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