Correlation Between Checkin Group and CodeMill
Can any of the company-specific risk be diversified away by investing in both Checkin Group and CodeMill 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 Checkin Group and CodeMill into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Checkin Group AB and CodeMill AB, you can compare the effects of market volatilities on Checkin Group and CodeMill 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 Checkin Group with a short position of CodeMill. Check out your portfolio center. Please also check ongoing floating volatility patterns of Checkin Group and CodeMill.
Diversification Opportunities for Checkin Group and CodeMill
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Checkin and CodeMill is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Checkin Group AB and CodeMill AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CodeMill AB and Checkin Group 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 Checkin Group AB are associated (or correlated) with CodeMill. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CodeMill AB has no effect on the direction of Checkin Group i.e., Checkin Group and CodeMill go up and down completely randomly.
Pair Corralation between Checkin Group and CodeMill
Assuming the 90 days trading horizon Checkin Group AB is expected to under-perform the CodeMill. In addition to that, Checkin Group is 2.31 times more volatile than CodeMill AB. It trades about -0.05 of its total potential returns per unit of risk. CodeMill AB is currently generating about 0.16 per unit of volatility. If you would invest 1,506 in CodeMill AB on April 21, 2025 and sell it today you would earn a total of 264.00 from holding CodeMill AB or generate 17.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Checkin Group AB vs. CodeMill AB
Performance |
Timeline |
Checkin Group AB |
CodeMill AB |
Checkin Group and CodeMill Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Checkin Group and CodeMill
The main advantage of trading using opposite Checkin Group and CodeMill positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Checkin Group position performs unexpectedly, CodeMill 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 CodeMill will offset losses from the drop in CodeMill's long position.Checkin Group vs. Generic Sweden publ | Checkin Group vs. Upsales Technology AB | Checkin Group vs. Lime Technologies AB | Checkin Group vs. Enea AB |
CodeMill vs. CAG Group AB | CodeMill vs. Checkin Group AB | CodeMill vs. Exsitec Holding AB | CodeMill vs. Divio Technologies AB |
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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Other Complementary Tools
Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk |