Correlation Between Ethereum Classic and Nervos Network
Can any of the company-specific risk be diversified away by investing in both Ethereum Classic and Nervos 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 Ethereum Classic and Nervos Network into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ethereum Classic and Nervos Network, you can compare the effects of market volatilities on Ethereum Classic and Nervos 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 Ethereum Classic with a short position of Nervos Network. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ethereum Classic and Nervos Network.
Diversification Opportunities for Ethereum Classic and Nervos Network
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between Ethereum and Nervos is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Ethereum Classic and Nervos Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nervos Network and Ethereum Classic 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 Ethereum Classic are associated (or correlated) with Nervos Network. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nervos Network has no effect on the direction of Ethereum Classic i.e., Ethereum Classic and Nervos Network go up and down completely randomly.
Pair Corralation between Ethereum Classic and Nervos Network
Assuming the 90 days trading horizon Ethereum Classic is expected to generate 1.36 times less return on investment than Nervos Network. But when comparing it to its historical volatility, Ethereum Classic is 1.93 times less risky than Nervos Network. It trades about 0.24 of its potential returns per unit of risk. Nervos Network is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 0.79 in Nervos Network on September 1, 2024 and sell it today you would earn a total of 0.85 from holding Nervos Network or generate 107.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ethereum Classic vs. Nervos Network
Performance |
Timeline |
Ethereum Classic |
Nervos Network |
Ethereum Classic and Nervos Network Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ethereum Classic and Nervos Network
The main advantage of trading using opposite Ethereum Classic and Nervos Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ethereum Classic position performs unexpectedly, Nervos 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 Nervos Network will offset losses from the drop in Nervos Network's long position.Ethereum Classic vs. Bitcoin | Ethereum Classic vs. Dogecoin | Ethereum Classic vs. Bitcoin Cash | Ethereum Classic vs. Litecoin |
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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 Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
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