Correlation Between Ethereum and CGA Old
Can any of the company-specific risk be diversified away by investing in both Ethereum and CGA Old 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 and CGA Old into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ethereum and CGA Old, you can compare the effects of market volatilities on Ethereum and CGA Old 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 with a short position of CGA Old. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ethereum and CGA Old.
Diversification Opportunities for Ethereum and CGA Old
Very weak diversification
The 3 months correlation between Ethereum and CGA is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Ethereum and CGA Old in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CGA Old and Ethereum 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 are associated (or correlated) with CGA Old. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CGA Old has no effect on the direction of Ethereum i.e., Ethereum and CGA Old go up and down completely randomly.
Pair Corralation between Ethereum and CGA Old
Assuming the 90 days trading horizon Ethereum is expected to generate 0.86 times more return on investment than CGA Old. However, Ethereum is 1.16 times less risky than CGA Old. It trades about 0.11 of its potential returns per unit of risk. CGA Old is currently generating about 0.06 per unit of risk. If you would invest 263,816 in Ethereum on October 26, 2024 and sell it today you would earn a total of 69,797 from holding Ethereum or generate 26.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 34.92% |
Values | Daily Returns |
Ethereum vs. CGA Old
Performance |
Timeline |
Ethereum |
CGA Old |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Insignificant
Ethereum and CGA Old Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ethereum and CGA Old
The main advantage of trading using opposite Ethereum and CGA Old positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ethereum position performs unexpectedly, CGA Old 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 CGA Old will offset losses from the drop in CGA Old's long position.The idea behind Ethereum and CGA Old 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.CGA Old vs. Yield10 Bioscience | CGA Old vs. KS AG DRC | CGA Old vs. Intrepid Potash | CGA Old vs. Bioceres Crop Solutions |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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