Correlation Between Butterfly Network and Glucose Health
Can any of the company-specific risk be diversified away by investing in both Butterfly Network and Glucose 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 Butterfly Network and Glucose Health into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Butterfly Network and Glucose Health, you can compare the effects of market volatilities on Butterfly Network and Glucose 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 Butterfly Network with a short position of Glucose Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Butterfly Network and Glucose Health.
Diversification Opportunities for Butterfly Network and Glucose Health
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Butterfly and Glucose is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Butterfly Network and Glucose Health in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Glucose Health and Butterfly Network 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 Butterfly Network are associated (or correlated) with Glucose Health. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Glucose Health has no effect on the direction of Butterfly Network i.e., Butterfly Network and Glucose Health go up and down completely randomly.
Pair Corralation between Butterfly Network and Glucose Health
Given the investment horizon of 90 days Butterfly Network is expected to generate 1.02 times less return on investment than Glucose Health. But when comparing it to its historical volatility, Butterfly Network is 2.84 times less risky than Glucose Health. It trades about 0.19 of its potential returns per unit of risk. Glucose Health is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 16.00 in Glucose Health on September 13, 2024 and sell it today you would lose (1.00) from holding Glucose Health or give up 6.25% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Butterfly Network vs. Glucose Health
Performance |
Timeline |
Butterfly Network |
Glucose Health |
Butterfly Network and Glucose Health Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Butterfly Network and Glucose Health
The main advantage of trading using opposite Butterfly Network and Glucose Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Butterfly Network position performs unexpectedly, Glucose 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 Glucose Health will offset losses from the drop in Glucose Health's long position.Butterfly Network vs. Inari Medical | Butterfly Network vs. Masimo | Butterfly Network vs. Glaukos Corp | Butterfly Network vs. Inspire Medical Systems |
Glucose Health vs. BRF SA ADR | Glucose Health vs. Pilgrims Pride Corp | Glucose Health vs. John B Sanfilippo | Glucose Health vs. Seneca Foods Corp |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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