Correlation Between Alliance Data and Corporate Office
Can any of the company-specific risk be diversified away by investing in both Alliance Data and Corporate Office 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 Alliance Data and Corporate Office into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alliance Data Systems and Corporate Office Properties, you can compare the effects of market volatilities on Alliance Data and Corporate Office 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 Alliance Data with a short position of Corporate Office. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alliance Data and Corporate Office.
Diversification Opportunities for Alliance Data and Corporate Office
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Alliance and Corporate is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Alliance Data Systems and Corporate Office Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Corporate Office Pro and Alliance 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 Alliance Data Systems are associated (or correlated) with Corporate Office. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Corporate Office Pro has no effect on the direction of Alliance Data i.e., Alliance Data and Corporate Office go up and down completely randomly.
Pair Corralation between Alliance Data and Corporate Office
Assuming the 90 days trading horizon Alliance Data Systems is expected to generate 2.37 times more return on investment than Corporate Office. However, Alliance Data is 2.37 times more volatile than Corporate Office Properties. It trades about 0.15 of its potential returns per unit of risk. Corporate Office Properties is currently generating about -0.02 per unit of risk. If you would invest 4,653 in Alliance Data Systems on October 23, 2024 and sell it today you would earn a total of 1,291 from holding Alliance Data Systems or generate 27.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Alliance Data Systems vs. Corporate Office Properties
Performance |
Timeline |
Alliance Data Systems |
Corporate Office Pro |
Alliance Data and Corporate Office Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alliance Data and Corporate Office
The main advantage of trading using opposite Alliance Data and Corporate Office positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alliance Data position performs unexpectedly, Corporate Office 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 Corporate Office will offset losses from the drop in Corporate Office's long position.Alliance Data vs. MARKET VECTR RETAIL | Alliance Data vs. MCEWEN MINING INC | Alliance Data vs. Globex Mining Enterprises | Alliance Data vs. Fast Retailing Co |
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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 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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