Correlation Between Vina2 Investment and Saigon Viendong
Can any of the company-specific risk be diversified away by investing in both Vina2 Investment and Saigon Viendong 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 Vina2 Investment and Saigon Viendong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vina2 Investment and and Saigon Viendong Technology, you can compare the effects of market volatilities on Vina2 Investment and Saigon Viendong 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 Vina2 Investment with a short position of Saigon Viendong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vina2 Investment and Saigon Viendong.
Diversification Opportunities for Vina2 Investment and Saigon Viendong
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Vina2 and Saigon is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Vina2 Investment and and Saigon Viendong Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Saigon Viendong Tech and Vina2 Investment 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 Vina2 Investment and are associated (or correlated) with Saigon Viendong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Saigon Viendong Tech has no effect on the direction of Vina2 Investment i.e., Vina2 Investment and Saigon Viendong go up and down completely randomly.
Pair Corralation between Vina2 Investment and Saigon Viendong
Assuming the 90 days trading horizon Vina2 Investment is expected to generate 15.59 times less return on investment than Saigon Viendong. In addition to that, Vina2 Investment is 1.12 times more volatile than Saigon Viendong Technology. It trades about 0.0 of its total potential returns per unit of risk. Saigon Viendong Technology is currently generating about 0.04 per unit of volatility. If you would invest 1,014,725 in Saigon Viendong Technology on September 26, 2024 and sell it today you would earn a total of 195,275 from holding Saigon Viendong Technology or generate 19.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 94.84% |
Values | Daily Returns |
Vina2 Investment and vs. Saigon Viendong Technology
Performance |
Timeline |
Vina2 Investment |
Saigon Viendong Tech |
Vina2 Investment and Saigon Viendong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vina2 Investment and Saigon Viendong
The main advantage of trading using opposite Vina2 Investment and Saigon Viendong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vina2 Investment position performs unexpectedly, Saigon Viendong 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 Saigon Viendong will offset losses from the drop in Saigon Viendong's long position.Vina2 Investment vs. FIT INVEST JSC | Vina2 Investment vs. Damsan JSC | Vina2 Investment vs. An Phat Plastic | Vina2 Investment vs. Alphanam ME |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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