Correlation Between Samsung Electronics and Aprogen Healthcare
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Aprogen Healthcare 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 Aprogen Healthcare 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 Aprogen Healthcare Games, you can compare the effects of market volatilities on Samsung Electronics and Aprogen Healthcare 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 Aprogen Healthcare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Aprogen Healthcare.
Diversification Opportunities for Samsung Electronics and Aprogen Healthcare
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Samsung and Aprogen is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Aprogen Healthcare Games in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aprogen Healthcare Games 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 Aprogen Healthcare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aprogen Healthcare Games has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Aprogen Healthcare go up and down completely randomly.
Pair Corralation between Samsung Electronics and Aprogen Healthcare
Assuming the 90 days trading horizon Samsung Electronics Co is expected to generate 0.55 times more return on investment than Aprogen Healthcare. However, Samsung Electronics Co is 1.83 times less risky than Aprogen Healthcare. It trades about -0.07 of its potential returns per unit of risk. Aprogen Healthcare Games is currently generating about -0.06 per unit of risk. If you would invest 6,274,793 in Samsung Electronics Co on September 15, 2024 and sell it today you would lose (664,793) from holding Samsung Electronics Co or give up 10.59% 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. Aprogen Healthcare Games
Performance |
Timeline |
Samsung Electronics |
Aprogen Healthcare Games |
Samsung Electronics and Aprogen Healthcare Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Aprogen Healthcare
The main advantage of trading using opposite Samsung Electronics and Aprogen Healthcare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Aprogen Healthcare 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 Aprogen Healthcare will offset losses from the drop in Aprogen Healthcare's long position.Samsung Electronics vs. Cube Entertainment | Samsung Electronics vs. Dreamus Company | Samsung Electronics vs. LG Energy Solution | Samsung Electronics vs. Dongwon System |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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