Correlation Between Samsung Electronics and DoubleU Games
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and DoubleU Games 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 DoubleU Games 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 DoubleU Games Co, you can compare the effects of market volatilities on Samsung Electronics and DoubleU Games 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 DoubleU Games. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and DoubleU Games.
Diversification Opportunities for Samsung Electronics and DoubleU Games
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Samsung and DoubleU is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and DoubleU Games Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DoubleU 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 DoubleU Games. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DoubleU Games has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and DoubleU Games go up and down completely randomly.
Pair Corralation between Samsung Electronics and DoubleU Games
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the DoubleU Games. In addition to that, Samsung Electronics is 1.24 times more volatile than DoubleU Games Co. It trades about -0.07 of its total potential returns per unit of risk. DoubleU Games Co is currently generating about 0.04 per unit of volatility. If you would invest 5,050,000 in DoubleU Games Co on October 8, 2024 and sell it today you would earn a total of 180,000 from holding DoubleU Games Co or generate 3.56% 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. DoubleU Games Co
Performance |
Timeline |
Samsung Electronics |
DoubleU Games |
Samsung Electronics and DoubleU Games Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and DoubleU Games
The main advantage of trading using opposite Samsung Electronics and DoubleU Games positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, DoubleU Games 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 DoubleU Games will offset losses from the drop in DoubleU Games' long position.Samsung Electronics vs. LG Corp | Samsung Electronics vs. Busan Industrial Co | Samsung Electronics vs. Busan Ind | Samsung Electronics vs. UNISEM Co |
DoubleU Games vs. Netmarble Games Corp | DoubleU Games vs. Busan Industrial Co | DoubleU Games vs. Busan Ind | DoubleU Games vs. UNISEM Co |
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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