Correlation Between SMA Solar and Aeorema Communications
Can any of the company-specific risk be diversified away by investing in both SMA Solar and Aeorema Communications 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 Aeorema Communications 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 Aeorema Communications Plc, you can compare the effects of market volatilities on SMA Solar and Aeorema Communications 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 Aeorema Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of SMA Solar and Aeorema Communications.
Diversification Opportunities for SMA Solar and Aeorema Communications
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between SMA and Aeorema is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding SMA Solar Technology and Aeorema Communications Plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aeorema Communications 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 Aeorema Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aeorema Communications has no effect on the direction of SMA Solar i.e., SMA Solar and Aeorema Communications go up and down completely randomly.
Pair Corralation between SMA Solar and Aeorema Communications
Assuming the 90 days trading horizon SMA Solar Technology is expected to under-perform the Aeorema Communications. In addition to that, SMA Solar is 1.52 times more volatile than Aeorema Communications Plc. It trades about -0.13 of its total potential returns per unit of risk. Aeorema Communications Plc is currently generating about -0.08 per unit of volatility. If you would invest 10,450 in Aeorema Communications Plc on September 15, 2024 and sell it today you would lose (4,450) from holding Aeorema Communications Plc or give up 42.58% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SMA Solar Technology vs. Aeorema Communications Plc
Performance |
Timeline |
SMA Solar Technology |
Aeorema Communications |
SMA Solar and Aeorema Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SMA Solar and Aeorema Communications
The main advantage of trading using opposite SMA Solar and Aeorema Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SMA Solar position performs unexpectedly, Aeorema Communications 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 Aeorema Communications will offset losses from the drop in Aeorema Communications' long position.SMA Solar vs. Samsung Electronics Co | SMA Solar vs. Samsung Electronics Co | SMA Solar vs. Hyundai Motor | SMA Solar vs. Reliance Industries Ltd |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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