Correlation Between Northern Lights and Fidelity Value
Can any of the company-specific risk be diversified away by investing in both Northern Lights and Fidelity Value 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 Fidelity Value into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Northern Lights and Fidelity Value Factor, you can compare the effects of market volatilities on Northern Lights and Fidelity Value 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 Fidelity Value. Check out your portfolio center. Please also check ongoing floating volatility patterns of Northern Lights and Fidelity Value.
Diversification Opportunities for Northern Lights and Fidelity Value
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Northern and Fidelity is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Northern Lights and Fidelity Value Factor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Value Factor 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 Fidelity Value. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Value Factor has no effect on the direction of Northern Lights i.e., Northern Lights and Fidelity Value go up and down completely randomly.
Pair Corralation between Northern Lights and Fidelity Value
Given the investment horizon of 90 days Northern Lights is expected to under-perform the Fidelity Value. In addition to that, Northern Lights is 1.29 times more volatile than Fidelity Value Factor. It trades about -0.12 of its total potential returns per unit of risk. Fidelity Value Factor is currently generating about -0.13 per unit of volatility. If you would invest 6,302 in Fidelity Value Factor on September 23, 2024 and sell it today you would lose (119.00) from holding Fidelity Value Factor or give up 1.89% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Northern Lights vs. Fidelity Value Factor
Performance |
Timeline |
Northern Lights |
Fidelity Value Factor |
Northern Lights and Fidelity Value Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Northern Lights and Fidelity Value
The main advantage of trading using opposite Northern Lights and Fidelity Value positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Northern Lights position performs unexpectedly, Fidelity Value 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 Fidelity Value will offset losses from the drop in Fidelity Value's long position.Northern Lights vs. Sterling Capital Focus | Northern Lights vs. Northern Lights | Northern Lights vs. First Trust Exchange Traded | Northern Lights vs. Northern Lights |
Fidelity Value vs. Salon City | Fidelity Value vs. Northern Lights | Fidelity Value vs. Sterling Capital Focus | Fidelity Value vs. Aquagold International |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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