Correlation Between Furukawa Electric and SMA Solar
Can any of the company-specific risk be diversified away by investing in both Furukawa Electric and SMA Solar 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 Furukawa Electric and SMA Solar into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Furukawa Electric Co and SMA Solar Technology, you can compare the effects of market volatilities on Furukawa Electric and SMA Solar 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 Furukawa Electric with a short position of SMA Solar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Furukawa Electric and SMA Solar.
Diversification Opportunities for Furukawa Electric and SMA Solar
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Furukawa and SMA is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Furukawa Electric Co and SMA Solar Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SMA Solar Technology and Furukawa Electric 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 Furukawa Electric Co are associated (or correlated) with SMA Solar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SMA Solar Technology has no effect on the direction of Furukawa Electric i.e., Furukawa Electric and SMA Solar go up and down completely randomly.
Pair Corralation between Furukawa Electric and SMA Solar
Assuming the 90 days horizon Furukawa Electric Co is expected to generate 1.91 times more return on investment than SMA Solar. However, Furukawa Electric is 1.91 times more volatile than SMA Solar Technology. It trades about 0.27 of its potential returns per unit of risk. SMA Solar Technology is currently generating about -0.29 per unit of risk. If you would invest 2,622 in Furukawa Electric Co on August 31, 2024 and sell it today you would earn a total of 1,178 from holding Furukawa Electric Co or generate 44.93% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Furukawa Electric Co vs. SMA Solar Technology
Performance |
| Timeline |
| Furukawa Electric |
| SMA Solar Technology |
Furukawa Electric and SMA Solar Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Furukawa Electric and SMA Solar
The main advantage of trading using opposite Furukawa Electric and SMA Solar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Furukawa Electric position performs unexpectedly, SMA Solar 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 SMA Solar will offset losses from the drop in SMA Solar's long position.| Furukawa Electric vs. AFC Energy plc | Furukawa Electric vs. Loop Energy | Furukawa Electric vs. Sunrise New Energy | Furukawa Electric vs. Energizer Holdings |
| SMA Solar vs. Xinyi Solar Holdings | SMA Solar vs. Xinyi Solar Holdings | SMA Solar vs. Sunrun Inc | SMA Solar vs. SMA Solar Technology |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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