Correlation Between Investment and ChargePanel
Can any of the company-specific risk be diversified away by investing in both Investment and ChargePanel 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 Investment and ChargePanel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Investment AB Oresund and ChargePanel AB, you can compare the effects of market volatilities on Investment and ChargePanel 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 Investment with a short position of ChargePanel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Investment and ChargePanel.
Diversification Opportunities for Investment and ChargePanel
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Investment and ChargePanel is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Investment AB Oresund and ChargePanel AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ChargePanel AB and 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 Investment AB Oresund are associated (or correlated) with ChargePanel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ChargePanel AB has no effect on the direction of Investment i.e., Investment and ChargePanel go up and down completely randomly.
Pair Corralation between Investment and ChargePanel
Assuming the 90 days trading horizon Investment is expected to generate 4.96 times less return on investment than ChargePanel. But when comparing it to its historical volatility, Investment AB Oresund is 4.41 times less risky than ChargePanel. It trades about 0.22 of its potential returns per unit of risk. ChargePanel AB is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 119.00 in ChargePanel AB on April 24, 2025 and sell it today you would earn a total of 131.00 from holding ChargePanel AB or generate 110.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.36% |
Values | Daily Returns |
Investment AB Oresund vs. ChargePanel AB
Performance |
Timeline |
Investment AB Oresund |
ChargePanel AB |
Investment and ChargePanel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Investment and ChargePanel
The main advantage of trading using opposite Investment and ChargePanel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Investment position performs unexpectedly, ChargePanel 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 ChargePanel will offset losses from the drop in ChargePanel's long position.Investment vs. Bure Equity AB | Investment vs. Creades AB | Investment vs. L E Lundbergfretagen | Investment vs. Industrivarden AB ser |
ChargePanel vs. Investment AB Oresund | ChargePanel vs. Vitec Software Group | ChargePanel vs. GiG Software PLC | ChargePanel vs. FormPipe Software 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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