Correlation Between Ned Davis and Northern Lights
Can any of the company-specific risk be diversified away by investing in both Ned Davis and Northern Lights 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 Ned Davis and Northern Lights into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ned Davis Research and Northern Lights, you can compare the effects of market volatilities on Ned Davis and Northern Lights 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 Ned Davis with a short position of Northern Lights. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ned Davis and Northern Lights.
Diversification Opportunities for Ned Davis and Northern Lights
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ned and Northern is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Ned Davis Research and Northern Lights in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Northern Lights and Ned Davis 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 Ned Davis Research are associated (or correlated) with Northern Lights. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Northern Lights has no effect on the direction of Ned Davis i.e., Ned Davis and Northern Lights go up and down completely randomly.
Pair Corralation between Ned Davis and Northern Lights
Given the investment horizon of 90 days Ned Davis is expected to generate 2.93 times less return on investment than Northern Lights. But when comparing it to its historical volatility, Ned Davis Research is 1.62 times less risky than Northern Lights. It trades about 0.09 of its potential returns per unit of risk. Northern Lights is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 2,562 in Northern Lights on September 1, 2024 and sell it today you would earn a total of 238.00 from holding Northern Lights or generate 9.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 49.21% |
Values | Daily Returns |
Ned Davis Research vs. Northern Lights
Performance |
Timeline |
Ned Davis Research |
Northern Lights |
Ned Davis and Northern Lights Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ned Davis and Northern Lights
The main advantage of trading using opposite Ned Davis and Northern Lights positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ned Davis position performs unexpectedly, Northern Lights 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 Lights will offset losses from the drop in Northern Lights' long position.Ned Davis vs. EA Series Trust | Ned Davis vs. Northern Lights | Ned Davis vs. Northern Lights | Ned Davis vs. Northern Lights |
Northern Lights vs. EA Series Trust | Northern Lights vs. Northern Lights | Northern Lights vs. Northern Lights | Northern Lights vs. Ned Davis Research |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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