Correlation Between AGMA LAHLOU and MAGHREBAIL
Specify exactly 2 symbols:
By analyzing existing cross correlation between AGMA LAHLOU TAZI and MAGHREBAIL, you can compare the effects of market volatilities on AGMA LAHLOU and MAGHREBAIL 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 AGMA LAHLOU with a short position of MAGHREBAIL. Check out your portfolio center. Please also check ongoing floating volatility patterns of AGMA LAHLOU and MAGHREBAIL.
Diversification Opportunities for AGMA LAHLOU and MAGHREBAIL
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between AGMA and MAGHREBAIL is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding AGMA LAHLOU TAZI and MAGHREBAIL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MAGHREBAIL and AGMA LAHLOU 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 AGMA LAHLOU TAZI are associated (or correlated) with MAGHREBAIL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MAGHREBAIL has no effect on the direction of AGMA LAHLOU i.e., AGMA LAHLOU and MAGHREBAIL go up and down completely randomly.
Pair Corralation between AGMA LAHLOU and MAGHREBAIL
Assuming the 90 days trading horizon AGMA LAHLOU TAZI is expected to under-perform the MAGHREBAIL. In addition to that, AGMA LAHLOU is 1.12 times more volatile than MAGHREBAIL. It trades about -0.14 of its total potential returns per unit of risk. MAGHREBAIL is currently generating about -0.04 per unit of volatility. If you would invest 94,600 in MAGHREBAIL on September 15, 2024 and sell it today you would lose (1,800) from holding MAGHREBAIL or give up 1.9% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
AGMA LAHLOU TAZI vs. MAGHREBAIL
Performance |
Timeline |
AGMA LAHLOU TAZI |
MAGHREBAIL |
AGMA LAHLOU and MAGHREBAIL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AGMA LAHLOU and MAGHREBAIL
The main advantage of trading using opposite AGMA LAHLOU and MAGHREBAIL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AGMA LAHLOU position performs unexpectedly, MAGHREBAIL 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 MAGHREBAIL will offset losses from the drop in MAGHREBAIL's long position.AGMA LAHLOU vs. MICRODATA | AGMA LAHLOU vs. TGCC SA | AGMA LAHLOU vs. CFG BANK | AGMA LAHLOU vs. CREDIT IMMOBILIER ET |
MAGHREBAIL vs. MICRODATA | MAGHREBAIL vs. TGCC SA | MAGHREBAIL vs. CFG BANK | MAGHREBAIL vs. AGMA LAHLOU TAZI |
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 Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Other Complementary Tools
Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Equity Valuation Check real value of public entities based on technical and fundamental data |