Correlation Between Public Storage and Alliance Data
Can any of the company-specific risk be diversified away by investing in both Public Storage and Alliance Data 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 Public Storage and Alliance Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Public Storage and Alliance Data Systems, you can compare the effects of market volatilities on Public Storage and Alliance Data 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 Public Storage with a short position of Alliance Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Public Storage and Alliance Data.
Diversification Opportunities for Public Storage and Alliance Data
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Public and Alliance is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Public Storage and Alliance Data Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alliance Data Systems and Public Storage 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 Public Storage are associated (or correlated) with Alliance Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alliance Data Systems has no effect on the direction of Public Storage i.e., Public Storage and Alliance Data go up and down completely randomly.
Pair Corralation between Public Storage and Alliance Data
Assuming the 90 days trading horizon Public Storage is expected to under-perform the Alliance Data. But the stock apears to be less risky and, when comparing its historical volatility, Public Storage is 2.3 times less risky than Alliance Data. The stock trades about -0.09 of its potential returns per unit of risk. The Alliance Data Systems is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 4,751 in Alliance Data Systems on September 12, 2024 and sell it today you would earn a total of 1,727 from holding Alliance Data Systems or generate 36.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 96.92% |
Values | Daily Returns |
Public Storage vs. Alliance Data Systems
Performance |
Timeline |
Public Storage |
Alliance Data Systems |
Public Storage and Alliance Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Public Storage and Alliance Data
The main advantage of trading using opposite Public Storage and Alliance Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Public Storage position performs unexpectedly, Alliance Data 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 Alliance Data will offset losses from the drop in Alliance Data's long position.Public Storage vs. Science in Sport | Public Storage vs. Omega Healthcare Investors | Public Storage vs. PureTech Health plc | Public Storage vs. MyHealthChecked Plc |
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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 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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