Correlation Between Grupo Simec and Xiabuxiabu Catering
Can any of the company-specific risk be diversified away by investing in both Grupo Simec and Xiabuxiabu Catering 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 Grupo Simec and Xiabuxiabu Catering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Grupo Simec SAB and Xiabuxiabu Catering Management, you can compare the effects of market volatilities on Grupo Simec and Xiabuxiabu Catering 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 Grupo Simec with a short position of Xiabuxiabu Catering. Check out your portfolio center. Please also check ongoing floating volatility patterns of Grupo Simec and Xiabuxiabu Catering.
Diversification Opportunities for Grupo Simec and Xiabuxiabu Catering
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Grupo and Xiabuxiabu is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Grupo Simec SAB and Xiabuxiabu Catering Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xiabuxiabu Catering and Grupo Simec 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 Grupo Simec SAB are associated (or correlated) with Xiabuxiabu Catering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xiabuxiabu Catering has no effect on the direction of Grupo Simec i.e., Grupo Simec and Xiabuxiabu Catering go up and down completely randomly.
Pair Corralation between Grupo Simec and Xiabuxiabu Catering
If you would invest 2,700 in Grupo Simec SAB on September 19, 2024 and sell it today you would lose (11.00) from holding Grupo Simec SAB or give up 0.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Grupo Simec SAB vs. Xiabuxiabu Catering Management
Performance |
Timeline |
Grupo Simec SAB |
Xiabuxiabu Catering |
Grupo Simec and Xiabuxiabu Catering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Grupo Simec and Xiabuxiabu Catering
The main advantage of trading using opposite Grupo Simec and Xiabuxiabu Catering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Grupo Simec position performs unexpectedly, Xiabuxiabu Catering 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 Xiabuxiabu Catering will offset losses from the drop in Xiabuxiabu Catering's long position.The idea behind Grupo Simec SAB and Xiabuxiabu Catering Management 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.Xiabuxiabu Catering vs. WT Offshore | Xiabuxiabu Catering vs. United Homes Group | Xiabuxiabu Catering vs. Corsair Gaming | Xiabuxiabu Catering vs. SL Green Realty |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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