Correlation Between Automatic Data and National Storage
Can any of the company-specific risk be diversified away by investing in both Automatic Data and National Storage 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 Automatic Data and National Storage into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Automatic Data Processing and National Storage Affiliates, you can compare the effects of market volatilities on Automatic Data and National Storage 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 Automatic Data with a short position of National Storage. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automatic Data and National Storage.
Diversification Opportunities for Automatic Data and National Storage
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Automatic and National is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding Automatic Data Processing and National Storage Affiliates in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Storage Aff and Automatic Data 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 Automatic Data Processing are associated (or correlated) with National Storage. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Storage Aff has no effect on the direction of Automatic Data i.e., Automatic Data and National Storage go up and down completely randomly.
Pair Corralation between Automatic Data and National Storage
Assuming the 90 days horizon Automatic Data Processing is expected to generate 0.88 times more return on investment than National Storage. However, Automatic Data Processing is 1.13 times less risky than National Storage. It trades about -0.09 of its potential returns per unit of risk. National Storage Affiliates is currently generating about -0.4 per unit of risk. If you would invest 28,848 in Automatic Data Processing on September 24, 2024 and sell it today you would lose (633.00) from holding Automatic Data Processing or give up 2.19% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Automatic Data Processing vs. National Storage Affiliates
Performance |
Timeline |
Automatic Data Processing |
National Storage Aff |
Automatic Data and National Storage Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Automatic Data and National Storage
The main advantage of trading using opposite Automatic Data and National Storage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automatic Data position performs unexpectedly, National Storage 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 Storage will offset losses from the drop in National Storage's long position.Automatic Data vs. Fiserv Inc | Automatic Data vs. Paychex | Automatic Data vs. Experian plc | Automatic Data vs. Verisk Analytics |
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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 Transaction History module to view history of all your transactions and understand their impact on performance.
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