Correlation Between BTC Health and Argosy Minerals
Can any of the company-specific risk be diversified away by investing in both BTC Health and Argosy Minerals 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 BTC Health and Argosy Minerals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BTC Health Limited and Argosy Minerals, you can compare the effects of market volatilities on BTC Health and Argosy Minerals 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 BTC Health with a short position of Argosy Minerals. Check out your portfolio center. Please also check ongoing floating volatility patterns of BTC Health and Argosy Minerals.
Diversification Opportunities for BTC Health and Argosy Minerals
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between BTC and Argosy is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding BTC Health Limited and Argosy Minerals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Argosy Minerals and BTC Health 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 BTC Health Limited are associated (or correlated) with Argosy Minerals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Argosy Minerals has no effect on the direction of BTC Health i.e., BTC Health and Argosy Minerals go up and down completely randomly.
Pair Corralation between BTC Health and Argosy Minerals
Assuming the 90 days trading horizon BTC Health Limited is expected to generate 1.55 times more return on investment than Argosy Minerals. However, BTC Health is 1.55 times more volatile than Argosy Minerals. It trades about 0.27 of its potential returns per unit of risk. Argosy Minerals is currently generating about 0.12 per unit of risk. If you would invest 6.00 in BTC Health Limited on October 9, 2024 and sell it today you would earn a total of 1.60 from holding BTC Health Limited or generate 26.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 94.74% |
Values | Daily Returns |
BTC Health Limited vs. Argosy Minerals
Performance |
Timeline |
BTC Health Limited |
Argosy Minerals |
BTC Health and Argosy Minerals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BTC Health and Argosy Minerals
The main advantage of trading using opposite BTC Health and Argosy Minerals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BTC Health position performs unexpectedly, Argosy Minerals 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 Argosy Minerals will offset losses from the drop in Argosy Minerals' long position.BTC Health vs. Dalaroo Metals | BTC Health vs. M3 Mining | BTC Health vs. Sky Metals | BTC Health vs. Janison Education Group |
Argosy Minerals vs. Carawine Resources Limited | Argosy Minerals vs. Queste Communications | Argosy Minerals vs. Sports Entertainment Group | Argosy Minerals vs. Hutchison Telecommunications |
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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
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