Correlation Between Samsung Electronics and Marstons PLC
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Marstons PLC 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 Marstons PLC 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 Marstons PLC, you can compare the effects of market volatilities on Samsung Electronics and Marstons PLC 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 Marstons PLC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Marstons PLC.
Diversification Opportunities for Samsung Electronics and Marstons PLC
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Samsung and Marstons is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Marstons PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Marstons PLC 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 Marstons PLC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Marstons PLC has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Marstons PLC go up and down completely randomly.
Pair Corralation between Samsung Electronics and Marstons PLC
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the Marstons PLC. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 1.28 times less risky than Marstons PLC. The stock trades about -0.15 of its potential returns per unit of risk. The Marstons PLC is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 3,165 in Marstons PLC on September 23, 2024 and sell it today you would earn a total of 1,385 from holding Marstons PLC or generate 43.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Marstons PLC
Performance |
Timeline |
Samsung Electronics |
Marstons PLC |
Samsung Electronics and Marstons PLC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Marstons PLC
The main advantage of trading using opposite Samsung Electronics and Marstons PLC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Marstons PLC 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 Marstons PLC will offset losses from the drop in Marstons PLC's long position.Samsung Electronics vs. Rockfire Resources plc | Samsung Electronics vs. Tlou Energy | Samsung Electronics vs. Ikigai Ventures | Samsung Electronics vs. Falcon Oil Gas |
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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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