Correlation Between Samsung Electronics and Plug Power
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Plug Power 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 Plug Power 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 Plug Power, you can compare the effects of market volatilities on Samsung Electronics and Plug Power 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 Plug Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Plug Power.
Diversification Opportunities for Samsung Electronics and Plug Power
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Samsung and Plug is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Plug Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Plug 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 Plug Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Plug Power has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Plug Power go up and down completely randomly.
Pair Corralation between Samsung Electronics and Plug Power
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the Plug Power. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 2.15 times less risky than Plug Power. The stock trades about -0.03 of its potential returns per unit of risk. The Plug Power is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 198.00 in Plug Power on September 12, 2024 and sell it today you would earn a total of 49.00 from holding Plug Power or generate 24.75% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Samsung Electronics Co vs. Plug Power
Performance |
| Timeline |
| Samsung Electronics |
| Plug Power |
Samsung Electronics and Plug Power Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Samsung Electronics and Plug Power
The main advantage of trading using opposite Samsung Electronics and Plug Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Plug Power 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 Plug Power will offset losses from the drop in Plug Power's long position.| Samsung Electronics vs. McEwen Mining | Samsung Electronics vs. United Utilities Group | Samsung Electronics vs. Coor Service Management | Samsung Electronics vs. Jupiter Fund Management |
| Plug Power vs. Hilton Food Group | Plug Power vs. Roebuck Food Group | Plug Power vs. GoldMining | Plug Power vs. Cornish Metals |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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