Correlation Between Lykos Metals and BTC Health
Can any of the company-specific risk be diversified away by investing in both Lykos Metals and BTC Health 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 Lykos Metals and BTC Health into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lykos Metals and BTC Health Limited, you can compare the effects of market volatilities on Lykos Metals and BTC Health 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 Lykos Metals with a short position of BTC Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lykos Metals and BTC Health.
Diversification Opportunities for Lykos Metals and BTC Health
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Lykos and BTC is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Lykos Metals and BTC Health Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BTC Health Limited and Lykos Metals 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 Lykos Metals are associated (or correlated) with BTC Health. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BTC Health Limited has no effect on the direction of Lykos Metals i.e., Lykos Metals and BTC Health go up and down completely randomly.
Pair Corralation between Lykos Metals and BTC Health
Assuming the 90 days trading horizon Lykos Metals is expected to under-perform the BTC Health. But the stock apears to be less risky and, when comparing its historical volatility, Lykos Metals is 1.62 times less risky than BTC Health. The stock trades about -0.05 of its potential returns per unit of risk. The BTC Health Limited is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 7.70 in BTC Health Limited on December 20, 2024 and sell it today you would lose (1.30) from holding BTC Health Limited or give up 16.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lykos Metals vs. BTC Health Limited
Performance |
Timeline |
Lykos Metals |
BTC Health Limited |
Lykos Metals and BTC Health Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lykos Metals and BTC Health
The main advantage of trading using opposite Lykos Metals and BTC Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lykos Metals position performs unexpectedly, BTC Health 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 BTC Health will offset losses from the drop in BTC Health's long position.Lykos Metals vs. Queste Communications | Lykos Metals vs. Black Rock Mining | Lykos Metals vs. MetalsGrove Mining | Lykos Metals vs. Asian Battery Metals |
BTC Health vs. Gateway Mining | BTC Health vs. Neurotech International | BTC Health vs. DMC Mining | BTC Health vs. Hansen Technologies |
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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