Correlation Between Cloetta AB and Scandi Standard
Can any of the company-specific risk be diversified away by investing in both Cloetta AB and Scandi Standard 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 Cloetta AB and Scandi Standard into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cloetta AB and Scandi Standard publ, you can compare the effects of market volatilities on Cloetta AB and Scandi Standard 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 Cloetta AB with a short position of Scandi Standard. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cloetta AB and Scandi Standard.
Diversification Opportunities for Cloetta AB and Scandi Standard
-0.71 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Cloetta and Scandi is -0.71. Overlapping area represents the amount of risk that can be diversified away by holding Cloetta AB and Scandi Standard publ in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Scandi Standard publ and Cloetta AB 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 Cloetta AB are associated (or correlated) with Scandi Standard. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Scandi Standard publ has no effect on the direction of Cloetta AB i.e., Cloetta AB and Scandi Standard go up and down completely randomly.
Pair Corralation between Cloetta AB and Scandi Standard
Assuming the 90 days trading horizon Cloetta AB is expected to generate 1.06 times less return on investment than Scandi Standard. But when comparing it to its historical volatility, Cloetta AB is 1.03 times less risky than Scandi Standard. It trades about 0.12 of its potential returns per unit of risk. Scandi Standard publ is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 5,519 in Scandi Standard publ on September 14, 2024 and sell it today you would earn a total of 2,931 from holding Scandi Standard publ or generate 53.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Cloetta AB vs. Scandi Standard publ
Performance |
Timeline |
Cloetta AB |
Scandi Standard publ |
Cloetta AB and Scandi Standard Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cloetta AB and Scandi Standard
The main advantage of trading using opposite Cloetta AB and Scandi Standard positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cloetta AB position performs unexpectedly, Scandi Standard 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 Scandi Standard will offset losses from the drop in Scandi Standard's long position.Cloetta AB vs. Securitas AB | Cloetta AB vs. Clas Ohlson AB | Cloetta AB vs. Axfood AB | Cloetta AB vs. Byggmax Group AB |
Scandi Standard vs. Cloetta AB | Scandi Standard vs. Inwido AB | Scandi Standard vs. Peab AB | Scandi Standard vs. Byggmax Group 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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