Correlation Between Sdiptech and Desenio Group
Specify exactly 2 symbols:
By analyzing existing cross correlation between Sdiptech AB and Desenio Group AB, you can compare the effects of market volatilities on Sdiptech and Desenio Group 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 Sdiptech with a short position of Desenio Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sdiptech and Desenio Group.
Diversification Opportunities for Sdiptech and Desenio Group
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sdiptech and Desenio is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Sdiptech AB and Desenio Group AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Desenio Group AB and Sdiptech 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 Sdiptech AB are associated (or correlated) with Desenio Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Desenio Group AB has no effect on the direction of Sdiptech i.e., Sdiptech and Desenio Group go up and down completely randomly.
Pair Corralation between Sdiptech and Desenio Group
Assuming the 90 days trading horizon Sdiptech AB is expected to generate 0.31 times more return on investment than Desenio Group. However, Sdiptech AB is 3.22 times less risky than Desenio Group. It trades about 0.17 of its potential returns per unit of risk. Desenio Group AB is currently generating about -0.05 per unit of risk. If you would invest 10,627 in Sdiptech AB on April 22, 2025 and sell it today you would earn a total of 2,573 from holding Sdiptech AB or generate 24.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.39% |
Values | Daily Returns |
Sdiptech AB vs. Desenio Group AB
Performance |
Timeline |
Sdiptech AB |
Risk-Adjusted Performance
Good
Weak | Strong |
Desenio Group AB |
Sdiptech and Desenio Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sdiptech and Desenio Group
The main advantage of trading using opposite Sdiptech and Desenio Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sdiptech position performs unexpectedly, Desenio Group 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 Desenio Group will offset losses from the drop in Desenio Group's long position.Sdiptech vs. Sdiptech AB | Sdiptech vs. AB Sagax | Sdiptech vs. Corem Property Group | Sdiptech vs. Volati AB |
Desenio Group vs. Rugvista Group AB | Desenio Group vs. Cint Group AB | Desenio Group vs. BHG Group AB | Desenio Group vs. Lyko Group A |
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 Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Other Complementary Tools
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |