Correlation Between Calamos ETF and Northern Lights
Can any of the company-specific risk be diversified away by investing in both Calamos ETF 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 Calamos ETF and Northern Lights into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Calamos ETF Trust and Northern Lights, you can compare the effects of market volatilities on Calamos ETF 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 Calamos ETF with a short position of Northern Lights. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calamos ETF and Northern Lights.
Diversification Opportunities for Calamos ETF and Northern Lights
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Calamos and Northern is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Calamos ETF Trust and Northern Lights in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Northern Lights and Calamos ETF 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 Calamos ETF Trust 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 Calamos ETF i.e., Calamos ETF and Northern Lights go up and down completely randomly.
Pair Corralation between Calamos ETF and Northern Lights
Given the investment horizon of 90 days Calamos ETF is expected to generate 2.72 times less return on investment than Northern Lights. But when comparing it to its historical volatility, Calamos ETF Trust is 5.23 times less risky than Northern Lights. It trades about 0.24 of its potential returns per unit of risk. Northern Lights is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 2,799 in Northern Lights on September 14, 2024 and sell it today you would earn a total of 777.00 from holding Northern Lights or generate 27.76% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 26.77% |
| Values | Daily Returns |
Calamos ETF Trust vs. Northern Lights
Performance |
| Timeline |
| Calamos ETF Trust |
| Northern Lights |
Calamos ETF and Northern Lights Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Calamos ETF and Northern Lights
The main advantage of trading using opposite Calamos ETF and Northern Lights positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calamos ETF 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.| Calamos ETF vs. FT Vest Equity | Calamos ETF vs. Northern Lights | Calamos ETF vs. Dimensional International High | Calamos ETF vs. JPMorgan Fundamental Data |
| Northern Lights vs. iShares Factors Growth | Northern Lights vs. Absolute Core Strategy | Northern Lights vs. iShares ESG Advanced | Northern Lights vs. PIMCO RAFI Dynamic |
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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