Correlation Between American Funds and Northern Lights
Can any of the company-specific risk be diversified away by investing in both American Funds 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 American Funds and Northern Lights into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Funds American and Northern Lights, you can compare the effects of market volatilities on American Funds 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 American Funds with a short position of Northern Lights. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Funds and Northern Lights.
Diversification Opportunities for American Funds and Northern Lights
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between American and Northern is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding American Funds American and Northern Lights in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Northern Lights and American Funds 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 American Funds American 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 American Funds i.e., American Funds and Northern Lights go up and down completely randomly.
Pair Corralation between American Funds and Northern Lights
Assuming the 90 days horizon American Funds is expected to generate 3.35 times less return on investment than Northern Lights. But when comparing it to its historical volatility, American Funds American is 1.66 times less risky than Northern Lights. It trades about 0.08 of its potential returns per unit of risk. Northern Lights is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 1,171 in Northern Lights on August 28, 2024 and sell it today you would earn a total of 33.00 from holding Northern Lights or generate 2.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
American Funds American vs. Northern Lights
Performance |
Timeline |
American Funds American |
Northern Lights |
American Funds and Northern Lights Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Funds and Northern Lights
The main advantage of trading using opposite American Funds and Northern Lights positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Funds 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.American Funds vs. T Rowe Price | American Funds vs. Doubleline Emerging Markets | American Funds vs. Pnc Emerging Markets | American Funds vs. Rbc Emerging Markets |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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