Correlation Between Near and Convex Finance
Can any of the company-specific risk be diversified away by investing in both Near and Convex Finance 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 Near and Convex Finance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Near and Convex Finance, you can compare the effects of market volatilities on Near and Convex Finance 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 Near with a short position of Convex Finance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Near and Convex Finance.
Diversification Opportunities for Near and Convex Finance
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Near and Convex is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Near and Convex Finance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Convex Finance and Near 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 Near are associated (or correlated) with Convex Finance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Convex Finance has no effect on the direction of Near i.e., Near and Convex Finance go up and down completely randomly.
Pair Corralation between Near and Convex Finance
Assuming the 90 days trading horizon Near is expected to generate 0.8 times more return on investment than Convex Finance. However, Near is 1.25 times less risky than Convex Finance. It trades about -0.13 of its potential returns per unit of risk. Convex Finance is currently generating about -0.11 per unit of risk. If you would invest 490.00 in Near on December 29, 2024 and sell it today you would lose (234.00) from holding Near or give up 47.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Near vs. Convex Finance
Performance |
Timeline |
Near |
Convex Finance |
Near and Convex Finance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Near and Convex Finance
The main advantage of trading using opposite Near and Convex Finance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Near position performs unexpectedly, Convex Finance 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 Convex Finance will offset losses from the drop in Convex Finance's long position.The idea behind Near and Convex Finance pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Convex Finance vs. Staked Ether | Convex Finance vs. Phala Network | Convex Finance vs. EigenLayer | Convex Finance 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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
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