Correlation Between SMA Solar and FC Investment
Can any of the company-specific risk be diversified away by investing in both SMA Solar and FC Investment 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 FC Investment 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 FC Investment Trust, you can compare the effects of market volatilities on SMA Solar and FC Investment 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 FC Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of SMA Solar and FC Investment.
Diversification Opportunities for SMA Solar and FC Investment
-0.74 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between SMA and FCIT is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding SMA Solar Technology and FC Investment Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FC Investment Trust 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 FC Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FC Investment Trust has no effect on the direction of SMA Solar i.e., SMA Solar and FC Investment go up and down completely randomly.
Pair Corralation between SMA Solar and FC Investment
Assuming the 90 days trading horizon SMA Solar Technology is expected to generate 5.66 times more return on investment than FC Investment. However, SMA Solar is 5.66 times more volatile than FC Investment Trust. It trades about 0.12 of its potential returns per unit of risk. FC Investment Trust is currently generating about -0.07 per unit of risk. If you would invest 1,492 in SMA Solar Technology on October 10, 2024 and sell it today you would earn a total of 122.00 from holding SMA Solar Technology or generate 8.18% 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. FC Investment Trust
Performance |
Timeline |
SMA Solar Technology |
FC Investment Trust |
SMA Solar and FC Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SMA Solar and FC Investment
The main advantage of trading using opposite SMA Solar and FC Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SMA Solar position performs unexpectedly, FC Investment 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 FC Investment will offset losses from the drop in FC Investment's long position.SMA Solar vs. Deltex Medical Group | SMA Solar vs. Canadian General Investments | SMA Solar vs. New Residential Investment | SMA Solar vs. Vietnam Enterprise Investments |
FC Investment vs. SMA Solar Technology | FC Investment vs. Made Tech Group | FC Investment vs. Sabien Technology Group | FC Investment vs. Alfa Financial Software |
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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