Correlation Between SMA Solar and ARDAGH METAL
Can any of the company-specific risk be diversified away by investing in both SMA Solar and ARDAGH METAL 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 SMA Solar and ARDAGH METAL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SMA Solar Technology and ARDAGH METAL PACDL 0001, you can compare the effects of market volatilities on SMA Solar and ARDAGH METAL 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 SMA Solar with a short position of ARDAGH METAL. Check out your portfolio center. Please also check ongoing floating volatility patterns of SMA Solar and ARDAGH METAL.
Diversification Opportunities for SMA Solar and ARDAGH METAL
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SMA and ARDAGH is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding SMA Solar Technology and ARDAGH METAL PACDL 0001 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ARDAGH METAL PACDL and SMA Solar 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 SMA Solar Technology are associated (or correlated) with ARDAGH METAL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ARDAGH METAL PACDL has no effect on the direction of SMA Solar i.e., SMA Solar and ARDAGH METAL go up and down completely randomly.
Pair Corralation between SMA Solar and ARDAGH METAL
Assuming the 90 days horizon SMA Solar Technology is expected to under-perform the ARDAGH METAL. In addition to that, SMA Solar is 1.09 times more volatile than ARDAGH METAL PACDL 0001. It trades about -0.13 of its total potential returns per unit of risk. ARDAGH METAL PACDL 0001 is currently generating about 0.0 per unit of volatility. If you would invest 305.00 in ARDAGH METAL PACDL 0001 on September 21, 2024 and sell it today you would lose (21.00) from holding ARDAGH METAL PACDL 0001 or give up 6.89% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SMA Solar Technology vs. ARDAGH METAL PACDL 0001
Performance |
Timeline |
SMA Solar Technology |
ARDAGH METAL PACDL |
SMA Solar and ARDAGH METAL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SMA Solar and ARDAGH METAL
The main advantage of trading using opposite SMA Solar and ARDAGH METAL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SMA Solar position performs unexpectedly, ARDAGH METAL 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 ARDAGH METAL will offset losses from the drop in ARDAGH METAL's long position.SMA Solar vs. CDN IMPERIAL BANK | SMA Solar vs. JSC Halyk bank | SMA Solar vs. Tradegate AG Wertpapierhandelsbank | SMA Solar vs. CHIBA BANK |
ARDAGH METAL vs. SMA Solar Technology | ARDAGH METAL vs. Entravision Communications | ARDAGH METAL vs. INTERSHOP Communications Aktiengesellschaft | ARDAGH METAL vs. WillScot Mobile Mini |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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