Correlation Between Equinix and National Retail
Can any of the company-specific risk be diversified away by investing in both Equinix and National Retail 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 Equinix and National Retail into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Equinix and National Retail Properties, you can compare the effects of market volatilities on Equinix and National Retail 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 Equinix with a short position of National Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of Equinix and National Retail.
Diversification Opportunities for Equinix and National Retail
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Equinix and National is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Equinix and National Retail Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Retail Prop and Equinix 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 Equinix are associated (or correlated) with National Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Retail Prop has no effect on the direction of Equinix i.e., Equinix and National Retail go up and down completely randomly.
Pair Corralation between Equinix and National Retail
Given the investment horizon of 90 days Equinix is expected to generate 1.34 times more return on investment than National Retail. However, Equinix is 1.34 times more volatile than National Retail Properties. It trades about 0.05 of its potential returns per unit of risk. National Retail Properties is currently generating about 0.02 per unit of risk. If you would invest 66,004 in Equinix on August 27, 2024 and sell it today you would earn a total of 27,633 from holding Equinix or generate 41.87% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Equinix vs. National Retail Properties
Performance |
| Timeline |
| Equinix |
| National Retail Prop |
Equinix and National Retail Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Equinix and National Retail
The main advantage of trading using opposite Equinix and National Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Equinix position performs unexpectedly, National Retail 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 National Retail will offset losses from the drop in National Retail's long position.| Equinix vs. Crown Castle | Equinix vs. American Tower Corp | Equinix vs. Iron Mountain Incorporated | Equinix vs. Hannon Armstrong Sustainable |
| National Retail vs. Acadia Realty Trust | National Retail vs. Federal Realty Investment | National Retail vs. Realty Income | National Retail vs. Whitestone REIT |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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