Correlation Between Samsung Electronics and Marks
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Marks 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 Marks 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 Marks and Spencer, you can compare the effects of market volatilities on Samsung Electronics and Marks 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 Marks. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Marks.
Diversification Opportunities for Samsung Electronics and Marks
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Samsung and Marks is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Marks and Spencer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Marks and Spencer 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 Marks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Marks and Spencer has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Marks go up and down completely randomly.
Pair Corralation between Samsung Electronics and Marks
Assuming the 90 days horizon Samsung Electronics Co is expected to generate 1.44 times more return on investment than Marks. However, Samsung Electronics is 1.44 times more volatile than Marks and Spencer. It trades about 0.21 of its potential returns per unit of risk. Marks and Spencer is currently generating about -0.1 per unit of risk. If you would invest 88,800 in Samsung Electronics Co on October 11, 2024 and sell it today you would earn a total of 6,200 from holding Samsung Electronics Co or generate 6.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Marks and Spencer
Performance |
Timeline |
Samsung Electronics |
Marks and Spencer |
Samsung Electronics and Marks Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Marks
The main advantage of trading using opposite Samsung Electronics and Marks positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Marks 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 Marks will offset losses from the drop in Marks' long position.Samsung Electronics vs. Delta Electronics Public | Samsung Electronics vs. Richardson Electronics | Samsung Electronics vs. STORE ELECTRONIC | Samsung Electronics vs. SPECTRAL MEDICAL |
Marks vs. MIRAMAR HOTEL INV | Marks vs. TRADEDOUBLER AB SK | Marks vs. Fast Retailing Co | Marks vs. Choice Hotels International |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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