Correlation Between Samsung Electronics and Beeks Trading
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Beeks Trading 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 Beeks Trading 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 Beeks Trading, you can compare the effects of market volatilities on Samsung Electronics and Beeks Trading 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 Beeks Trading. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Beeks Trading.
Diversification Opportunities for Samsung Electronics and Beeks Trading
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Samsung and Beeks is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Beeks Trading in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Beeks Trading 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 Beeks Trading. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Beeks Trading has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Beeks Trading go up and down completely randomly.
Pair Corralation between Samsung Electronics and Beeks Trading
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the Beeks Trading. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 1.57 times less risky than Beeks Trading. The stock trades about -0.15 of its potential returns per unit of risk. The Beeks Trading is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 22,400 in Beeks Trading on October 22, 2024 and sell it today you would earn a total of 5,200 from holding Beeks Trading or generate 23.21% 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. Beeks Trading
Performance |
Timeline |
Samsung Electronics |
Beeks Trading |
Samsung Electronics and Beeks Trading Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Beeks Trading
The main advantage of trading using opposite Samsung Electronics and Beeks Trading positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Beeks Trading 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 Beeks Trading will offset losses from the drop in Beeks Trading's long position.Samsung Electronics vs. DXC Technology Co | Samsung Electronics vs. Eneraqua Technologies PLC | Samsung Electronics vs. Xeros Technology Group | Samsung Electronics vs. Creo Medical Group |
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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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