Correlation Between NanoVibronix and FOXO Technologies
Can any of the company-specific risk be diversified away by investing in both NanoVibronix and FOXO Technologies 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 NanoVibronix and FOXO Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NanoVibronix and FOXO Technologies, you can compare the effects of market volatilities on NanoVibronix and FOXO Technologies 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 NanoVibronix with a short position of FOXO Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of NanoVibronix and FOXO Technologies.
Diversification Opportunities for NanoVibronix and FOXO Technologies
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between NanoVibronix and FOXO is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding NanoVibronix and FOXO Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FOXO Technologies and NanoVibronix 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 NanoVibronix are associated (or correlated) with FOXO Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FOXO Technologies has no effect on the direction of NanoVibronix i.e., NanoVibronix and FOXO Technologies go up and down completely randomly.
Pair Corralation between NanoVibronix and FOXO Technologies
Given the investment horizon of 90 days NanoVibronix is expected to generate 0.8 times more return on investment than FOXO Technologies. However, NanoVibronix is 1.24 times less risky than FOXO Technologies. It trades about -0.17 of its potential returns per unit of risk. FOXO Technologies is currently generating about -0.29 per unit of risk. If you would invest 76.00 in NanoVibronix on October 6, 2024 and sell it today you would lose (16.00) from holding NanoVibronix or give up 21.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
NanoVibronix vs. FOXO Technologies
Performance |
Timeline |
NanoVibronix |
FOXO Technologies |
NanoVibronix and FOXO Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NanoVibronix and FOXO Technologies
The main advantage of trading using opposite NanoVibronix and FOXO Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NanoVibronix position performs unexpectedly, FOXO Technologies 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 FOXO Technologies will offset losses from the drop in FOXO Technologies' long position.NanoVibronix vs. Bone Biologics Corp | NanoVibronix vs. Bluejay Diagnostics | NanoVibronix vs. Vivos Therapeutics | NanoVibronix vs. Tivic Health Systems |
FOXO Technologies vs. Heartbeam | FOXO Technologies vs. EUDA Health Holdings | FOXO Technologies vs. Nutex Health | FOXO Technologies vs. Healthcare Triangle |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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