Correlation Between Samsung Electronics and NRG Energy
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and NRG Energy 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 NRG Energy 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 NRG Energy, you can compare the effects of market volatilities on Samsung Electronics and NRG Energy 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 NRG Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and NRG Energy.
Diversification Opportunities for Samsung Electronics and NRG Energy
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Samsung and NRG is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and NRG Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NRG Energy 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 NRG Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NRG Energy has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and NRG Energy go up and down completely randomly.
Pair Corralation between Samsung Electronics and NRG Energy
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the NRG Energy. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 1.3 times less risky than NRG Energy. The stock trades about -0.03 of its potential returns per unit of risk. The NRG Energy is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 2,768 in NRG Energy on October 4, 2024 and sell it today you would earn a total of 5,992 from holding NRG Energy or generate 216.47% 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. NRG Energy
Performance |
Timeline |
Samsung Electronics |
NRG Energy |
Samsung Electronics and NRG Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and NRG Energy
The main advantage of trading using opposite Samsung Electronics and NRG Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, NRG Energy 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 NRG Energy will offset losses from the drop in NRG Energy's long position.Samsung Electronics vs. COLUMBIA SPORTSWEAR | Samsung Electronics vs. PROSIEBENSAT1 MEDIADR4 | Samsung Electronics vs. Columbia Sportswear | Samsung Electronics vs. Tencent Music Entertainment |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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