Correlation Between LithiumBank Resources and Boot Barn
Can any of the company-specific risk be diversified away by investing in both LithiumBank Resources and Boot Barn 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 LithiumBank Resources and Boot Barn into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LithiumBank Resources Corp and Boot Barn Holdings, you can compare the effects of market volatilities on LithiumBank Resources and Boot Barn 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 LithiumBank Resources with a short position of Boot Barn. Check out your portfolio center. Please also check ongoing floating volatility patterns of LithiumBank Resources and Boot Barn.
Diversification Opportunities for LithiumBank Resources and Boot Barn
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between LithiumBank and Boot is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding LithiumBank Resources Corp and Boot Barn Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Boot Barn Holdings and LithiumBank 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 LithiumBank Resources Corp are associated (or correlated) with Boot Barn. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Boot Barn Holdings has no effect on the direction of LithiumBank Resources i.e., LithiumBank Resources and Boot Barn go up and down completely randomly.
Pair Corralation between LithiumBank Resources and Boot Barn
Assuming the 90 days horizon LithiumBank Resources is expected to generate 1.63 times less return on investment than Boot Barn. In addition to that, LithiumBank Resources is 1.62 times more volatile than Boot Barn Holdings. It trades about 0.02 of its total potential returns per unit of risk. Boot Barn Holdings is currently generating about 0.05 per unit of volatility. If you would invest 14,545 in Boot Barn Holdings on September 24, 2024 and sell it today you would earn a total of 307.00 from holding Boot Barn Holdings or generate 2.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.24% |
Values | Daily Returns |
LithiumBank Resources Corp vs. Boot Barn Holdings
Performance |
Timeline |
LithiumBank Resources |
Boot Barn Holdings |
LithiumBank Resources and Boot Barn Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LithiumBank Resources and Boot Barn
The main advantage of trading using opposite LithiumBank Resources and Boot Barn positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LithiumBank Resources position performs unexpectedly, Boot Barn 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 Boot Barn will offset losses from the drop in Boot Barn's long position.LithiumBank Resources vs. Altair International Corp | LithiumBank Resources vs. Global Battery Metals | LithiumBank Resources vs. Jourdan Resources | LithiumBank Resources vs. Lomiko Metals |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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