Correlation Between Pyth Network and Banana Gun
Can any of the company-specific risk be diversified away by investing in both Pyth Network and Banana Gun 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 Pyth Network and Banana Gun into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pyth Network and Banana Gun, you can compare the effects of market volatilities on Pyth Network and Banana Gun 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 Pyth Network with a short position of Banana Gun. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pyth Network and Banana Gun.
Diversification Opportunities for Pyth Network and Banana Gun
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Pyth and Banana is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Pyth Network and Banana Gun in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Banana Gun and Pyth 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 Pyth Network are associated (or correlated) with Banana Gun. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Banana Gun has no effect on the direction of Pyth Network i.e., Pyth Network and Banana Gun go up and down completely randomly.
Pair Corralation between Pyth Network and Banana Gun
Assuming the 90 days trading horizon Pyth Network is expected to under-perform the Banana Gun. But the crypto coin apears to be less risky and, when comparing its historical volatility, Pyth Network is 1.36 times less risky than Banana Gun. The crypto coin trades about -0.16 of its potential returns per unit of risk. The Banana Gun is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest 3,755 in Banana Gun on December 30, 2024 and sell it today you would lose (1,845) from holding Banana Gun or give up 49.13% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Pyth Network vs. Banana Gun
Performance |
Timeline |
Pyth Network |
Banana Gun |
Pyth Network and Banana Gun Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pyth Network and Banana Gun
The main advantage of trading using opposite Pyth Network and Banana Gun positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pyth Network position performs unexpectedly, Banana Gun 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 Banana Gun will offset losses from the drop in Banana Gun's long position.Pyth Network vs. Staked Ether | Pyth Network vs. Phala Network | Pyth Network vs. EigenLayer | Pyth Network vs. EOSDAC |
Banana Gun vs. Staked Ether | Banana Gun vs. Phala Network | Banana Gun vs. EigenLayer | Banana Gun vs. EOSDAC |
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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
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