Correlation Between MAHLE Metal and GX AI
Can any of the company-specific risk be diversified away by investing in both MAHLE Metal and GX AI 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 MAHLE Metal and GX AI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MAHLE Metal Leve and GX AI TECH, you can compare the effects of market volatilities on MAHLE Metal and GX AI 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 MAHLE Metal with a short position of GX AI. Check out your portfolio center. Please also check ongoing floating volatility patterns of MAHLE Metal and GX AI.
Diversification Opportunities for MAHLE Metal and GX AI
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between MAHLE and BAIQ39 is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding MAHLE Metal Leve and GX AI TECH in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GX AI TECH and MAHLE Metal 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 MAHLE Metal Leve are associated (or correlated) with GX AI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GX AI TECH has no effect on the direction of MAHLE Metal i.e., MAHLE Metal and GX AI go up and down completely randomly.
Pair Corralation between MAHLE Metal and GX AI
Assuming the 90 days trading horizon MAHLE Metal Leve is expected to under-perform the GX AI. In addition to that, MAHLE Metal is 1.12 times more volatile than GX AI TECH. It trades about -0.07 of its total potential returns per unit of risk. GX AI TECH is currently generating about 0.25 per unit of volatility. If you would invest 6,675 in GX AI TECH on October 1, 2024 and sell it today you would earn a total of 1,443 from holding GX AI TECH or generate 21.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 98.36% |
Values | Daily Returns |
MAHLE Metal Leve vs. GX AI TECH
Performance |
Timeline |
MAHLE Metal Leve |
GX AI TECH |
MAHLE Metal and GX AI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MAHLE Metal and GX AI
The main advantage of trading using opposite MAHLE Metal and GX AI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MAHLE Metal position performs unexpectedly, GX AI 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 GX AI will offset losses from the drop in GX AI's long position.The idea behind MAHLE Metal Leve and GX AI TECH 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.GX AI vs. UnitedHealth Group Incorporated | GX AI vs. Iron Mountain Incorporated | GX AI vs. Check Point Software | GX AI vs. Microchip Technology Incorporated |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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