Correlation Between DATA Communications and Clipper Realty
Can any of the company-specific risk be diversified away by investing in both DATA Communications and Clipper Realty 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 DATA Communications and Clipper Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DATA Communications Management and Clipper Realty, you can compare the effects of market volatilities on DATA Communications and Clipper Realty 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 DATA Communications with a short position of Clipper Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of DATA Communications and Clipper Realty.
Diversification Opportunities for DATA Communications and Clipper Realty
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between DATA and Clipper is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding DATA Communications Management and Clipper Realty in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clipper Realty and DATA Communications 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 DATA Communications Management are associated (or correlated) with Clipper Realty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clipper Realty has no effect on the direction of DATA Communications i.e., DATA Communications and Clipper Realty go up and down completely randomly.
Pair Corralation between DATA Communications and Clipper Realty
Assuming the 90 days horizon DATA Communications Management is expected to generate 1.34 times more return on investment than Clipper Realty. However, DATA Communications is 1.34 times more volatile than Clipper Realty. It trades about 0.12 of its potential returns per unit of risk. Clipper Realty is currently generating about -0.09 per unit of risk. If you would invest 104.00 in DATA Communications Management on September 3, 2025 and sell it today you would earn a total of 22.00 from holding DATA Communications Management or generate 21.15% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 98.44% |
| Values | Daily Returns |
DATA Communications Management vs. Clipper Realty
Performance |
| Timeline |
| DATA Communications |
| Clipper Realty |
DATA Communications and Clipper Realty Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with DATA Communications and Clipper Realty
The main advantage of trading using opposite DATA Communications and Clipper Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DATA Communications position performs unexpectedly, Clipper Realty 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 Clipper Realty will offset losses from the drop in Clipper Realty's long position.| DATA Communications vs. Cintas | DATA Communications vs. Thomson Reuters | DATA Communications vs. Wolters Kluwer NV | DATA Communications vs. Wolters Kluwer NV |
| Clipper Realty vs. Aldel Financial II | Clipper Realty vs. Laurentian Bank of | Clipper Realty vs. TFS Financial | Clipper Realty vs. Air Lease |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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