Correlation Between Axie Infinity and Render Network
Can any of the company-specific risk be diversified away by investing in both Axie Infinity and Render Network 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 Axie Infinity and Render Network into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Axie Infinity Shards and Render Network, you can compare the effects of market volatilities on Axie Infinity and Render Network 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 Axie Infinity with a short position of Render Network. Check out your portfolio center. Please also check ongoing floating volatility patterns of Axie Infinity and Render Network.
Diversification Opportunities for Axie Infinity and Render Network
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Axie and Render is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Axie Infinity Shards and Render Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Render Network and Axie Infinity 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 Axie Infinity Shards are associated (or correlated) with Render Network. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Render Network has no effect on the direction of Axie Infinity i.e., Axie Infinity and Render Network go up and down completely randomly.
Pair Corralation between Axie Infinity and Render Network
Assuming the 90 days trading horizon Axie Infinity Shards is expected to under-perform the Render Network. But the crypto coin apears to be less risky and, when comparing its historical volatility, Axie Infinity Shards is 1.33 times less risky than Render Network. The crypto coin trades about -0.21 of its potential returns per unit of risk. The Render Network is currently generating about -0.12 of returns per unit of risk over similar time horizon. If you would invest 678.00 in Render Network on December 30, 2024 and sell it today you would lose (330.00) from holding Render Network or give up 48.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Axie Infinity Shards vs. Render Network
Performance |
Timeline |
Axie Infinity Shards |
Render Network |
Axie Infinity and Render Network Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Axie Infinity and Render Network
The main advantage of trading using opposite Axie Infinity and Render Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Axie Infinity position performs unexpectedly, Render Network 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 Render Network will offset losses from the drop in Render Network's long position.Axie Infinity vs. Staked Ether | Axie Infinity vs. Phala Network | Axie Infinity vs. EigenLayer | Axie Infinity vs. EOSDAC |
Render Network vs. Render Token | Render Network vs. Staked Ether | Render Network vs. Phala Network | Render Network vs. EigenLayer |
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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