Correlation Between Samsung Electronics and Aukett Fitzroy
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Aukett Fitzroy 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 Aukett Fitzroy 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 Aukett Fitzroy Robinson, you can compare the effects of market volatilities on Samsung Electronics and Aukett Fitzroy 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 Aukett Fitzroy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Aukett Fitzroy.
Diversification Opportunities for Samsung Electronics and Aukett Fitzroy
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Samsung and Aukett is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Aukett Fitzroy Robinson in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aukett Fitzroy Robinson 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 Aukett Fitzroy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aukett Fitzroy Robinson has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Aukett Fitzroy go up and down completely randomly.
Pair Corralation between Samsung Electronics and Aukett Fitzroy
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the Aukett Fitzroy. In addition to that, Samsung Electronics is 2.42 times more volatile than Aukett Fitzroy Robinson. It trades about -0.13 of its total potential returns per unit of risk. Aukett Fitzroy Robinson is currently generating about -0.07 per unit of volatility. If you would invest 163.00 in Aukett Fitzroy Robinson on September 14, 2024 and sell it today you would lose (8.00) from holding Aukett Fitzroy Robinson or give up 4.91% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Aukett Fitzroy Robinson
Performance |
Timeline |
Samsung Electronics |
Aukett Fitzroy Robinson |
Samsung Electronics and Aukett Fitzroy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Aukett Fitzroy
The main advantage of trading using opposite Samsung Electronics and Aukett Fitzroy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Aukett Fitzroy 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 Aukett Fitzroy will offset losses from the drop in Aukett Fitzroy's long position.Samsung Electronics vs. European Metals Holdings | Samsung Electronics vs. Axfood AB | Samsung Electronics vs. McEwen Mining | Samsung Electronics vs. Roebuck Food Group |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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