Correlation Between Digi International and Northann Corp
Can any of the company-specific risk be diversified away by investing in both Digi International and Northann Corp 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 Digi International and Northann Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Digi International and Northann Corp, you can compare the effects of market volatilities on Digi International and Northann Corp 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 Digi International with a short position of Northann Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Digi International and Northann Corp.
Diversification Opportunities for Digi International and Northann Corp
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Digi and Northann is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Digi International and Northann Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Northann Corp and Digi International 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 Digi International are associated (or correlated) with Northann Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Northann Corp has no effect on the direction of Digi International i.e., Digi International and Northann Corp go up and down completely randomly.
Pair Corralation between Digi International and Northann Corp
Given the investment horizon of 90 days Digi International is expected to generate 3.61 times less return on investment than Northann Corp. But when comparing it to its historical volatility, Digi International is 5.05 times less risky than Northann Corp. It trades about 0.19 of its potential returns per unit of risk. Northann Corp is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 17.00 in Northann Corp on September 14, 2024 and sell it today you would earn a total of 13.00 from holding Northann Corp or generate 76.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Digi International vs. Northann Corp
Performance |
Timeline |
Digi International |
Northann Corp |
Digi International and Northann Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Digi International and Northann Corp
The main advantage of trading using opposite Digi International and Northann Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Digi International position performs unexpectedly, Northann Corp 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 Northann Corp will offset losses from the drop in Northann Corp's long position.Digi International vs. Passage Bio | Digi International vs. Black Diamond Therapeutics | Digi International vs. Alector | Digi International vs. Century Therapeutics |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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