Correlation Between Ethereum and Northern Data
Can any of the company-specific risk be diversified away by investing in both Ethereum and Northern Data 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 Northern Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ethereum and Northern Data AG, you can compare the effects of market volatilities on Ethereum and Northern Data 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 Northern Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ethereum and Northern Data.
Diversification Opportunities for Ethereum and Northern Data
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ethereum and Northern is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Ethereum and Northern Data AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Northern Data AG 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 Northern Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Northern Data AG has no effect on the direction of Ethereum i.e., Ethereum and Northern Data go up and down completely randomly.
Pair Corralation between Ethereum and Northern Data
Assuming the 90 days trading horizon Ethereum is expected to generate 2.05 times less return on investment than Northern Data. But when comparing it to its historical volatility, Ethereum is 1.17 times less risky than Northern Data. It trades about 0.15 of its potential returns per unit of risk. Northern Data AG is currently generating about 0.26 of returns per unit of risk over similar time horizon. If you would invest 2,555 in Northern Data AG on October 10, 2024 and sell it today you would earn a total of 2,425 from holding Northern Data AG or generate 94.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 92.19% |
Values | Daily Returns |
Ethereum vs. Northern Data AG
Performance |
Timeline |
Ethereum |
Northern Data AG |
Ethereum and Northern Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ethereum and Northern Data
The main advantage of trading using opposite Ethereum and Northern Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ethereum position performs unexpectedly, Northern Data 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 Northern Data will offset losses from the drop in Northern Data's long position.The idea behind Ethereum and Northern Data AG 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.Northern Data vs. MARKET VECTR RETAIL | Northern Data vs. Retail Estates NV | Northern Data vs. PICKN PAY STORES | Northern Data vs. GRENKELEASING Dusseldorf |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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