Correlation Between Samsung Electronics and SANUWAVE Health
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and SANUWAVE Health 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 SANUWAVE Health 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 SANUWAVE Health, you can compare the effects of market volatilities on Samsung Electronics and SANUWAVE Health 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 SANUWAVE Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and SANUWAVE Health.
Diversification Opportunities for Samsung Electronics and SANUWAVE Health
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Samsung and SANUWAVE is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and SANUWAVE Health in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SANUWAVE Health 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 SANUWAVE Health. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SANUWAVE Health has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and SANUWAVE Health go up and down completely randomly.
Pair Corralation between Samsung Electronics and SANUWAVE Health
Assuming the 90 days horizon Samsung Electronics is expected to generate 237.44 times less return on investment than SANUWAVE Health. But when comparing it to its historical volatility, Samsung Electronics Co is 94.41 times less risky than SANUWAVE Health. It trades about 0.13 of its potential returns per unit of risk. SANUWAVE Health is currently generating about 0.32 of returns per unit of risk over similar time horizon. If you would invest 559.00 in SANUWAVE Health on September 4, 2024 and sell it today you would earn a total of 1,733 from holding SANUWAVE Health or generate 310.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Samsung Electronics Co vs. SANUWAVE Health
Performance |
Timeline |
Samsung Electronics |
SANUWAVE Health |
Samsung Electronics and SANUWAVE Health Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and SANUWAVE Health
The main advantage of trading using opposite Samsung Electronics and SANUWAVE Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, SANUWAVE Health 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 SANUWAVE Health will offset losses from the drop in SANUWAVE Health's long position.Samsung Electronics vs. Apple Inc | Samsung Electronics vs. Microsoft | Samsung Electronics vs. Amazon Inc | Samsung Electronics vs. Alphabet Inc Class C |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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