Correlation Between Samsung Electronics and American Electric
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and American Electric 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 American Electric 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 American Electric Power, you can compare the effects of market volatilities on Samsung Electronics and American Electric 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 American Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and American Electric.
Diversification Opportunities for Samsung Electronics and American Electric
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Samsung and American is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and American Electric Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Electric Power 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 American Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Electric Power has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and American Electric go up and down completely randomly.
Pair Corralation between Samsung Electronics and American Electric
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the American Electric. In addition to that, Samsung Electronics is 1.97 times more volatile than American Electric Power. It trades about -0.04 of its total potential returns per unit of risk. American Electric Power is currently generating about 0.08 per unit of volatility. If you would invest 7,110 in American Electric Power on October 9, 2024 and sell it today you would earn a total of 1,540 from holding American Electric Power or generate 21.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. American Electric Power
Performance |
Timeline |
Samsung Electronics |
American Electric Power |
Samsung Electronics and American Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and American Electric
The main advantage of trading using opposite Samsung Electronics and American Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, American Electric 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 American Electric will offset losses from the drop in American Electric's long position.Samsung Electronics vs. Samsung Electronics Co | Samsung Electronics vs. Microsoft | Samsung Electronics vs. Tencent Holdings |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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