Correlation Between Samsung Electronics and SCI Engineered
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and SCI Engineered 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 SCI Engineered 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 SCI Engineered Materials, you can compare the effects of market volatilities on Samsung Electronics and SCI Engineered 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 SCI Engineered. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and SCI Engineered.
Diversification Opportunities for Samsung Electronics and SCI Engineered
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Samsung and SCI is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and SCI Engineered Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCI Engineered Materials 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 SCI Engineered. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCI Engineered Materials has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and SCI Engineered go up and down completely randomly.
Pair Corralation between Samsung Electronics and SCI Engineered
Assuming the 90 days horizon Samsung Electronics is expected to generate 14.75 times less return on investment than SCI Engineered. But when comparing it to its historical volatility, Samsung Electronics Co is 45.97 times less risky than SCI Engineered. It trades about 0.1 of its potential returns per unit of risk. SCI Engineered Materials is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 410.00 in SCI Engineered Materials on September 2, 2024 and sell it today you would earn a total of 87.00 from holding SCI Engineered Materials or generate 21.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 91.4% |
Values | Daily Returns |
Samsung Electronics Co vs. SCI Engineered Materials
Performance |
Timeline |
Samsung Electronics |
SCI Engineered Materials |
Samsung Electronics and SCI Engineered Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and SCI Engineered
The main advantage of trading using opposite Samsung Electronics and SCI Engineered positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, SCI Engineered 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 SCI Engineered will offset losses from the drop in SCI Engineered's long position.Samsung Electronics vs. Legacy Education | Samsung Electronics vs. Apple Inc | Samsung Electronics vs. NVIDIA | Samsung Electronics vs. Microsoft |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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