Correlation Between SEB SA and Traeger
Can any of the company-specific risk be diversified away by investing in both SEB SA and Traeger 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 SEB SA and Traeger into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SEB SA and Traeger, you can compare the effects of market volatilities on SEB SA and Traeger 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 SEB SA with a short position of Traeger. Check out your portfolio center. Please also check ongoing floating volatility patterns of SEB SA and Traeger.
Diversification Opportunities for SEB SA and Traeger
Good diversification
The 3 months correlation between SEB and Traeger is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding SEB SA and Traeger in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Traeger and SEB SA 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 SEB SA are associated (or correlated) with Traeger. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Traeger has no effect on the direction of SEB SA i.e., SEB SA and Traeger go up and down completely randomly.
Pair Corralation between SEB SA and Traeger
Assuming the 90 days horizon SEB SA is expected to under-perform the Traeger. But the pink sheet apears to be less risky and, when comparing its historical volatility, SEB SA is 1.66 times less risky than Traeger. The pink sheet trades about -0.04 of its potential returns per unit of risk. The Traeger is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 277.00 in Traeger on September 14, 2024 and sell it today you would earn a total of 28.00 from holding Traeger or generate 10.11% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 57.26% |
| Values | Daily Returns |
SEB SA vs. Traeger
Performance |
| Timeline |
| SEB SA |
| Traeger |
SEB SA and Traeger Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SEB SA and Traeger
The main advantage of trading using opposite SEB SA and Traeger positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SEB SA position performs unexpectedly, Traeger 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 Traeger will offset losses from the drop in Traeger's long position.The idea behind SEB SA and Traeger 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.| Traeger vs. Sleep Number Corp | Traeger vs. Tempur Sealy International | Traeger vs. The Lovesac | Traeger vs. MillerKnoll |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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