Correlation Between Sweco AB and Skanska AB
Can any of the company-specific risk be diversified away by investing in both Sweco AB and Skanska AB 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 Sweco AB and Skanska AB into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sweco AB and Skanska AB, you can compare the effects of market volatilities on Sweco AB and Skanska AB 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 Sweco AB with a short position of Skanska AB. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sweco AB and Skanska AB.
Diversification Opportunities for Sweco AB and Skanska AB
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Sweco and Skanska is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Sweco AB and Skanska AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Skanska AB and Sweco 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 Sweco AB are associated (or correlated) with Skanska AB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Skanska AB has no effect on the direction of Sweco AB i.e., Sweco AB and Skanska AB go up and down completely randomly.
Pair Corralation between Sweco AB and Skanska AB
Assuming the 90 days trading horizon Sweco AB is expected to generate 1.3 times more return on investment than Skanska AB. However, Sweco AB is 1.3 times more volatile than Skanska AB. It trades about 0.06 of its potential returns per unit of risk. Skanska AB is currently generating about 0.06 per unit of risk. If you would invest 9,558 in Sweco AB on September 24, 2024 and sell it today you would earn a total of 6,912 from holding Sweco AB or generate 72.32% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Sweco AB vs. Skanska AB
Performance |
| Timeline |
| Sweco AB |
| Skanska AB |
Sweco AB and Skanska AB Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Sweco AB and Skanska AB
The main advantage of trading using opposite Sweco AB and Skanska AB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sweco AB position performs unexpectedly, Skanska AB 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 Skanska AB will offset losses from the drop in Skanska AB's long position.The idea behind Sweco AB and Skanska AB pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Skanska AB vs. Sweco AB | Skanska AB vs. Sweco AB | Skanska AB vs. Bravida Holding AB | Skanska AB vs. Afry 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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