Correlation Between Samsung Electronics and Systemair
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Systemair 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 Systemair 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 Systemair AB, you can compare the effects of market volatilities on Samsung Electronics and Systemair 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 Systemair. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Systemair.
Diversification Opportunities for Samsung Electronics and Systemair
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Samsung and Systemair is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Systemair AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Systemair AB 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 Systemair. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Systemair AB has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Systemair go up and down completely randomly.
Pair Corralation between Samsung Electronics and Systemair
Assuming the 90 days trading horizon Samsung Electronics is expected to generate 1.0 times less return on investment than Systemair. But when comparing it to its historical volatility, Samsung Electronics Co is 1.12 times less risky than Systemair. It trades about 0.21 of its potential returns per unit of risk. Systemair AB is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 7,550 in Systemair AB on April 22, 2025 and sell it today you would earn a total of 1,790 from holding Systemair AB or generate 23.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Samsung Electronics Co vs. Systemair AB
Performance |
Timeline |
Samsung Electronics |
Systemair AB |
Samsung Electronics and Systemair Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Systemair
The main advantage of trading using opposite Samsung Electronics and Systemair positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Systemair 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 Systemair will offset losses from the drop in Systemair's long position.Samsung Electronics vs. Cembra Money Bank | Samsung Electronics vs. Metro Bank PLC | Samsung Electronics vs. Air Products Chemicals | Samsung Electronics vs. Westlake Chemical Corp |
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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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