Correlation Between Vina2 Investment and Vu Dang
Can any of the company-specific risk be diversified away by investing in both Vina2 Investment and Vu Dang 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 Vu Dang 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 Vu Dang Investment, you can compare the effects of market volatilities on Vina2 Investment and Vu Dang 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 Vu Dang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vina2 Investment and Vu Dang.
Diversification Opportunities for Vina2 Investment and Vu Dang
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Vina2 and SVD is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Vina2 Investment and and Vu Dang Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vu Dang Investment 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 Vu Dang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vu Dang Investment has no effect on the direction of Vina2 Investment i.e., Vina2 Investment and Vu Dang go up and down completely randomly.
Pair Corralation between Vina2 Investment and Vu Dang
Assuming the 90 days trading horizon Vina2 Investment and is expected to generate 0.91 times more return on investment than Vu Dang. However, Vina2 Investment and is 1.1 times less risky than Vu Dang. It trades about 0.14 of its potential returns per unit of risk. Vu Dang Investment is currently generating about 0.12 per unit of risk. If you would invest 760,000 in Vina2 Investment and on September 15, 2024 and sell it today you would earn a total of 180,000 from holding Vina2 Investment and or generate 23.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Vina2 Investment and vs. Vu Dang Investment
Performance |
Timeline |
Vina2 Investment |
Vu Dang Investment |
Vina2 Investment and Vu Dang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vina2 Investment and Vu Dang
The main advantage of trading using opposite Vina2 Investment and Vu Dang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vina2 Investment position performs unexpectedly, Vu Dang 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 Vu Dang will offset losses from the drop in Vu Dang'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 |
Vu Dang vs. Truong Thanh Furniture | Vu Dang vs. Hochiminh City Metal | Vu Dang vs. Fecon Mining JSC | Vu Dang vs. Southern Rubber Industry |
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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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