Correlation Between SMA Solar and Applied Materials
Can any of the company-specific risk be diversified away by investing in both SMA Solar and Applied Materials 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 Applied Materials 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 Applied Materials, you can compare the effects of market volatilities on SMA Solar and Applied Materials 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 Applied Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of SMA Solar and Applied Materials.
Diversification Opportunities for SMA Solar and Applied Materials
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between SMA and Applied is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding SMA Solar Technology and Applied Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Applied Materials 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 Applied Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Applied Materials has no effect on the direction of SMA Solar i.e., SMA Solar and Applied Materials go up and down completely randomly.
Pair Corralation between SMA Solar and Applied Materials
Assuming the 90 days trading horizon SMA Solar Technology is expected to generate 2.42 times more return on investment than Applied Materials. However, SMA Solar is 2.42 times more volatile than Applied Materials. It trades about 0.1 of its potential returns per unit of risk. Applied Materials is currently generating about -0.06 per unit of risk. If you would invest 1,353 in SMA Solar Technology on December 30, 2024 and sell it today you would earn a total of 411.00 from holding SMA Solar Technology or generate 30.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SMA Solar Technology vs. Applied Materials
Performance |
Timeline |
SMA Solar Technology |
Applied Materials |
SMA Solar and Applied Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SMA Solar and Applied Materials
The main advantage of trading using opposite SMA Solar and Applied Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SMA Solar position performs unexpectedly, Applied Materials 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 Applied Materials will offset losses from the drop in Applied Materials' long position.SMA Solar vs. Jupiter Fund Management | SMA Solar vs. Trainline Plc | SMA Solar vs. Gaztransport et Technigaz | SMA Solar vs. Waste Management |
Applied Materials vs. One Media iP | Applied Materials vs. Resolute Mining Limited | Applied Materials vs. Atresmedia | Applied Materials vs. Grand Vision Media |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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