Correlation Between Samsung Electronics and Clean Power
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Clean Power 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 Samsung Electronics and Clean Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Electronics Co and Clean Power Hydrogen, you can compare the effects of market volatilities on Samsung Electronics and Clean Power 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 Samsung Electronics with a short position of Clean Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Clean Power.
Diversification Opportunities for Samsung Electronics and Clean Power
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Samsung and Clean is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Clean Power Hydrogen in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clean Power Hydrogen and Samsung Electronics 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 Samsung Electronics Co are associated (or correlated) with Clean Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clean Power Hydrogen has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Clean Power go up and down completely randomly.
Pair Corralation between Samsung Electronics and Clean Power
Assuming the 90 days trading horizon Samsung Electronics Co is expected to generate 0.65 times more return on investment than Clean Power. However, Samsung Electronics Co is 1.54 times less risky than Clean Power. It trades about 0.21 of its potential returns per unit of risk. Clean Power Hydrogen is currently generating about -0.1 per unit of risk. If you would invest 79,873 in Samsung Electronics Co on April 22, 2025 and sell it today you would earn a total of 18,127 from holding Samsung Electronics Co or generate 22.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Clean Power Hydrogen
Performance |
Timeline |
Samsung Electronics |
Clean Power Hydrogen |
Samsung Electronics and Clean Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Clean Power
The main advantage of trading using opposite Samsung Electronics and Clean Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Clean Power 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 Clean Power will offset losses from the drop in Clean Power's long position.Samsung Electronics vs. SMA Solar Technology | Samsung Electronics vs. Endeavour Mining Corp | Samsung Electronics vs. Take Two Interactive Software | Samsung Electronics vs. Spotify Technology SA |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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