Correlation Between Vitec Software and Samsung Electronics
Can any of the company-specific risk be diversified away by investing in both Vitec Software 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 Vitec Software and Samsung Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vitec Software Group and Samsung Electronics Co, you can compare the effects of market volatilities on Vitec Software 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 Vitec Software with a short position of Samsung Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vitec Software and Samsung Electronics.
Diversification Opportunities for Vitec Software and Samsung Electronics
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Vitec and Samsung is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Vitec Software Group and Samsung Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Electronics and Vitec Software 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 Vitec Software Group 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 Vitec Software i.e., Vitec Software and Samsung Electronics go up and down completely randomly.
Pair Corralation between Vitec Software and Samsung Electronics
Assuming the 90 days trading horizon Vitec Software Group is expected to generate 0.8 times more return on investment than Samsung Electronics. However, Vitec Software Group is 1.25 times less risky than Samsung Electronics. It trades about 0.29 of its potential returns per unit of risk. Samsung Electronics Co is currently generating about -0.02 per unit of risk. If you would invest 51,350 in Vitec Software Group on October 8, 2024 and sell it today you would earn a total of 3,550 from holding Vitec Software Group or generate 6.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Vitec Software Group vs. Samsung Electronics Co
Performance |
Timeline |
Vitec Software Group |
Samsung Electronics |
Vitec Software and Samsung Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vitec Software and Samsung Electronics
The main advantage of trading using opposite Vitec Software and Samsung Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vitec Software 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.Vitec Software vs. Uniper SE | Vitec Software vs. Codex Acquisitions PLC | Vitec Software vs. Ikigai Ventures | Vitec Software vs. Heavitree Brewery |
Samsung Electronics vs. Take Two Interactive Software | Samsung Electronics vs. Alfa Financial Software | Samsung Electronics vs. Axway Software SA | Samsung Electronics vs. Check Point Software |
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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