Correlation Between Patriot Battery and Sigma Lithium
Can any of the company-specific risk be diversified away by investing in both Patriot Battery 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 Patriot Battery and Sigma Lithium into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Patriot Battery Metals and Sigma Lithium Resources, you can compare the effects of market volatilities on Patriot Battery 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 Patriot Battery with a short position of Sigma Lithium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Patriot Battery and Sigma Lithium.
Diversification Opportunities for Patriot Battery and Sigma Lithium
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Patriot and Sigma is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding Patriot Battery Metals 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 Patriot Battery 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 Patriot Battery Metals 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 Patriot Battery i.e., Patriot Battery and Sigma Lithium go up and down completely randomly.
Pair Corralation between Patriot Battery and Sigma Lithium
Assuming the 90 days horizon Patriot Battery Metals is expected to generate 2.36 times more return on investment than Sigma Lithium. However, Patriot Battery is 2.36 times more volatile than Sigma Lithium Resources. It trades about 0.19 of its potential returns per unit of risk. Sigma Lithium Resources is currently generating about 0.01 per unit of risk. If you would invest 194.00 in Patriot Battery Metals on October 6, 2024 and sell it today you would earn a total of 49.00 from holding Patriot Battery Metals or generate 25.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Patriot Battery Metals vs. Sigma Lithium Resources
Performance |
Timeline |
Patriot Battery Metals |
Sigma Lithium Resources |
Patriot Battery and Sigma Lithium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Patriot Battery and Sigma Lithium
The main advantage of trading using opposite Patriot Battery and Sigma Lithium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Patriot Battery 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.Patriot Battery vs. Kenorland Minerals | Patriot Battery vs. Beyond Minerals | Patriot Battery vs. EMX Royalty Corp | Patriot Battery vs. Ivanhoe Mines |
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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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