Correlation Between Datagroup and General Accident
Can any of the company-specific risk be diversified away by investing in both Datagroup and General Accident 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 Datagroup and General Accident into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Datagroup SE and General Accident plc, you can compare the effects of market volatilities on Datagroup and General Accident 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 Datagroup with a short position of General Accident. Check out your portfolio center. Please also check ongoing floating volatility patterns of Datagroup and General Accident.
Diversification Opportunities for Datagroup and General Accident
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Datagroup and General is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Datagroup SE and General Accident plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on General Accident plc and Datagroup 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 Datagroup SE are associated (or correlated) with General Accident. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of General Accident plc has no effect on the direction of Datagroup i.e., Datagroup and General Accident go up and down completely randomly.
Pair Corralation between Datagroup and General Accident
Assuming the 90 days trading horizon Datagroup SE is expected to under-perform the General Accident. In addition to that, Datagroup is 2.88 times more volatile than General Accident plc. It trades about -0.18 of its total potential returns per unit of risk. General Accident plc is currently generating about -0.03 per unit of volatility. If you would invest 12,050 in General Accident plc on October 24, 2024 and sell it today you would lose (50.00) from holding General Accident plc or give up 0.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.0% |
Values | Daily Returns |
Datagroup SE vs. General Accident plc
Performance |
Timeline |
Datagroup SE |
General Accident plc |
Datagroup and General Accident Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Datagroup and General Accident
The main advantage of trading using opposite Datagroup and General Accident positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Datagroup position performs unexpectedly, General Accident 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 General Accident will offset losses from the drop in General Accident's long position.Datagroup vs. Spirent Communications plc | Datagroup vs. JB Hunt Transport | Datagroup vs. Gaztransport et Technigaz | Datagroup vs. Xeros Technology Group |
General Accident vs. Toyota Motor Corp | General Accident vs. SoftBank Group Corp | General Accident vs. OTP Bank Nyrt | General Accident vs. Agilent Technologies |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Other Complementary Tools
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Global Correlations Find global opportunities by holding instruments from different markets | |
Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance |