Correlation Between Ceiba Investments and Samsung Electronics
Can any of the company-specific risk be diversified away by investing in both Ceiba Investments and Samsung Electronics 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 Ceiba Investments and Samsung Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ceiba Investments and Samsung Electronics Co, you can compare the effects of market volatilities on Ceiba Investments and Samsung Electronics 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 Ceiba Investments with a short position of Samsung Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ceiba Investments and Samsung Electronics.
Diversification Opportunities for Ceiba Investments and Samsung Electronics
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Ceiba and Samsung is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Ceiba Investments and Samsung Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Electronics and Ceiba Investments 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 Ceiba Investments are associated (or correlated) with Samsung Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Electronics has no effect on the direction of Ceiba Investments i.e., Ceiba Investments and Samsung Electronics go up and down completely randomly.
Pair Corralation between Ceiba Investments and Samsung Electronics
Assuming the 90 days trading horizon Ceiba Investments is expected to generate 0.4 times more return on investment than Samsung Electronics. However, Ceiba Investments is 2.52 times less risky than Samsung Electronics. It trades about -0.12 of its potential returns per unit of risk. Samsung Electronics Co is currently generating about -0.1 per unit of risk. If you would invest 2,800 in Ceiba Investments on September 1, 2024 and sell it today you would lose (350.00) from holding Ceiba Investments or give up 12.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Ceiba Investments vs. Samsung Electronics Co
Performance |
Timeline |
Ceiba Investments |
Samsung Electronics |
Ceiba Investments and Samsung Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ceiba Investments and Samsung Electronics
The main advantage of trading using opposite Ceiba Investments and Samsung Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ceiba Investments position performs unexpectedly, Samsung Electronics 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 Samsung Electronics will offset losses from the drop in Samsung Electronics' long position.Ceiba Investments vs. United Utilities Group | Ceiba Investments vs. SBM Offshore NV | Ceiba Investments vs. Darden Restaurants | Ceiba Investments vs. Scandic Hotels 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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