Correlation Between CDL INVESTMENT and DATAGROUP
Can any of the company-specific risk be diversified away by investing in both CDL INVESTMENT and DATAGROUP 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 CDL INVESTMENT and DATAGROUP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CDL INVESTMENT and DATAGROUP SE, you can compare the effects of market volatilities on CDL INVESTMENT and DATAGROUP 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 CDL INVESTMENT with a short position of DATAGROUP. Check out your portfolio center. Please also check ongoing floating volatility patterns of CDL INVESTMENT and DATAGROUP.
Diversification Opportunities for CDL INVESTMENT and DATAGROUP
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between CDL and DATAGROUP is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding CDL INVESTMENT and DATAGROUP SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DATAGROUP SE and CDL INVESTMENT 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 CDL INVESTMENT are associated (or correlated) with DATAGROUP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DATAGROUP SE has no effect on the direction of CDL INVESTMENT i.e., CDL INVESTMENT and DATAGROUP go up and down completely randomly.
Pair Corralation between CDL INVESTMENT and DATAGROUP
Assuming the 90 days trading horizon CDL INVESTMENT is expected to generate 1.14 times more return on investment than DATAGROUP. However, CDL INVESTMENT is 1.14 times more volatile than DATAGROUP SE. It trades about 0.02 of its potential returns per unit of risk. DATAGROUP SE is currently generating about -0.02 per unit of risk. If you would invest 39.00 in CDL INVESTMENT on September 3, 2024 and sell it today you would earn a total of 4.00 from holding CDL INVESTMENT or generate 10.26% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
CDL INVESTMENT vs. DATAGROUP SE
Performance |
| Timeline |
| CDL INVESTMENT |
| DATAGROUP SE |
CDL INVESTMENT and DATAGROUP Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with CDL INVESTMENT and DATAGROUP
The main advantage of trading using opposite CDL INVESTMENT and DATAGROUP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CDL INVESTMENT position performs unexpectedly, DATAGROUP 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 DATAGROUP will offset losses from the drop in DATAGROUP's long position.| CDL INVESTMENT vs. ATOSS SOFTWARE | CDL INVESTMENT vs. VITEC SOFTWARE GROUP | CDL INVESTMENT vs. PSI Software AG | CDL INVESTMENT vs. International Consolidated Airlines |
| DATAGROUP vs. VIRGIN WINES UK | DATAGROUP vs. Marie Brizard Wine | DATAGROUP vs. Microchip Technology Incorporated | DATAGROUP vs. CHINA TONTINE WINES |
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 File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
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