Correlation Between Sendero Resources and Sigma Lithium
Can any of the company-specific risk be diversified away by investing in both Sendero Resources and Sigma Lithium 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 Sendero Resources and Sigma Lithium into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sendero Resources Corp and Sigma Lithium Resources, you can compare the effects of market volatilities on Sendero Resources and Sigma Lithium 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 Sendero Resources with a short position of Sigma Lithium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sendero Resources and Sigma Lithium.
Diversification Opportunities for Sendero Resources and Sigma Lithium
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sendero and Sigma is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Sendero Resources Corp and Sigma Lithium Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sigma Lithium Resources and Sendero 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 Sendero Resources Corp are associated (or correlated) with Sigma Lithium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sigma Lithium Resources has no effect on the direction of Sendero Resources i.e., Sendero Resources and Sigma Lithium go up and down completely randomly.
Pair Corralation between Sendero Resources and Sigma Lithium
Assuming the 90 days trading horizon Sendero Resources Corp is expected to generate 2.76 times more return on investment than Sigma Lithium. However, Sendero Resources is 2.76 times more volatile than Sigma Lithium Resources. It trades about 0.0 of its potential returns per unit of risk. Sigma Lithium Resources is currently generating about -0.02 per unit of risk. If you would invest 160.00 in Sendero Resources Corp on September 19, 2024 and sell it today you would lose (139.00) from holding Sendero Resources Corp or give up 86.87% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 61.49% |
Values | Daily Returns |
Sendero Resources Corp vs. Sigma Lithium Resources
Performance |
Timeline |
Sendero Resources Corp |
Sigma Lithium Resources |
Sendero Resources and Sigma Lithium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sendero Resources and Sigma Lithium
The main advantage of trading using opposite Sendero Resources and Sigma Lithium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sendero Resources position performs unexpectedly, Sigma Lithium 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 Sigma Lithium will offset losses from the drop in Sigma Lithium's long position.Sendero Resources vs. Teck Resources Limited | Sendero Resources vs. Ivanhoe Mines | Sendero Resources vs. Filo Mining Corp | Sendero Resources vs. Calibre Mining 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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