Correlation Between 360 Finance and BioForce Nanosciences
Can any of the company-specific risk be diversified away by investing in both 360 Finance and BioForce Nanosciences 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 360 Finance and BioForce Nanosciences into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between 360 Finance and BioForce Nanosciences Holdings, you can compare the effects of market volatilities on 360 Finance and BioForce Nanosciences 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 360 Finance with a short position of BioForce Nanosciences. Check out your portfolio center. Please also check ongoing floating volatility patterns of 360 Finance and BioForce Nanosciences.
Diversification Opportunities for 360 Finance and BioForce Nanosciences
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between 360 and BioForce is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding 360 Finance and BioForce Nanosciences Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BioForce Nanosciences and 360 Finance 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 360 Finance are associated (or correlated) with BioForce Nanosciences. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BioForce Nanosciences has no effect on the direction of 360 Finance i.e., 360 Finance and BioForce Nanosciences go up and down completely randomly.
Pair Corralation between 360 Finance and BioForce Nanosciences
Given the investment horizon of 90 days 360 Finance is expected to generate 1.14 times less return on investment than BioForce Nanosciences. But when comparing it to its historical volatility, 360 Finance is 3.24 times less risky than BioForce Nanosciences. It trades about 0.05 of its potential returns per unit of risk. BioForce Nanosciences Holdings is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 283.00 in BioForce Nanosciences Holdings on October 21, 2024 and sell it today you would lose (213.00) from holding BioForce Nanosciences Holdings or give up 75.27% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
360 Finance vs. BioForce Nanosciences Holdings
Performance |
Timeline |
360 Finance |
BioForce Nanosciences |
360 Finance and BioForce Nanosciences Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with 360 Finance and BioForce Nanosciences
The main advantage of trading using opposite 360 Finance and BioForce Nanosciences positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 360 Finance position performs unexpectedly, BioForce Nanosciences 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 BioForce Nanosciences will offset losses from the drop in BioForce Nanosciences' long position.360 Finance vs. Allient | 360 Finance vs. BioNTech SE | 360 Finance vs. Senmiao Technology | 360 Finance vs. Analog Devices |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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