Correlation Between Northern Lights and Discipline Fund
Can any of the company-specific risk be diversified away by investing in both Northern Lights and Discipline Fund 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 Northern Lights and Discipline Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Northern Lights and Discipline Fund ETF, you can compare the effects of market volatilities on Northern Lights and Discipline Fund 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 Northern Lights with a short position of Discipline Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Northern Lights and Discipline Fund.
Diversification Opportunities for Northern Lights and Discipline Fund
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Northern and Discipline is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Northern Lights and Discipline Fund ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Discipline Fund ETF and Northern Lights 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 Northern Lights are associated (or correlated) with Discipline Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Discipline Fund ETF has no effect on the direction of Northern Lights i.e., Northern Lights and Discipline Fund go up and down completely randomly.
Pair Corralation between Northern Lights and Discipline Fund
Given the investment horizon of 90 days Northern Lights is expected to generate 1.75 times more return on investment than Discipline Fund. However, Northern Lights is 1.75 times more volatile than Discipline Fund ETF. It trades about 0.07 of its potential returns per unit of risk. Discipline Fund ETF is currently generating about 0.08 per unit of risk. If you would invest 2,759 in Northern Lights on September 12, 2024 and sell it today you would earn a total of 24.00 from holding Northern Lights or generate 0.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Northern Lights vs. Discipline Fund ETF
Performance |
Timeline |
Northern Lights |
Discipline Fund ETF |
Northern Lights and Discipline Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Northern Lights and Discipline Fund
The main advantage of trading using opposite Northern Lights and Discipline Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Northern Lights position performs unexpectedly, Discipline Fund 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 Discipline Fund will offset losses from the drop in Discipline Fund's long position.Northern Lights vs. Vanguard SP 500 | Northern Lights vs. Vanguard Real Estate | Northern Lights vs. Vanguard Total Bond | Northern Lights vs. Vanguard High Dividend |
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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 Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
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