Correlation Between Vincom Retail and Bao Ngoc
Can any of the company-specific risk be diversified away by investing in both Vincom Retail and Bao Ngoc 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 Vincom Retail and Bao Ngoc into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vincom Retail JSC and Bao Ngoc Investment, you can compare the effects of market volatilities on Vincom Retail and Bao Ngoc 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 Vincom Retail with a short position of Bao Ngoc. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vincom Retail and Bao Ngoc.
Diversification Opportunities for Vincom Retail and Bao Ngoc
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Vincom and Bao is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Vincom Retail JSC and Bao Ngoc Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bao Ngoc Investment and Vincom Retail 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 Vincom Retail JSC are associated (or correlated) with Bao Ngoc. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bao Ngoc Investment has no effect on the direction of Vincom Retail i.e., Vincom Retail and Bao Ngoc go up and down completely randomly.
Pair Corralation between Vincom Retail and Bao Ngoc
Assuming the 90 days trading horizon Vincom Retail JSC is expected to under-perform the Bao Ngoc. But the stock apears to be less risky and, when comparing its historical volatility, Vincom Retail JSC is 1.98 times less risky than Bao Ngoc. The stock trades about -0.14 of its potential returns per unit of risk. The Bao Ngoc Investment is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 936,000 in Bao Ngoc Investment on September 28, 2024 and sell it today you would earn a total of 124,000 from holding Bao Ngoc Investment or generate 13.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Vincom Retail JSC vs. Bao Ngoc Investment
Performance |
Timeline |
Vincom Retail JSC |
Bao Ngoc Investment |
Vincom Retail and Bao Ngoc Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vincom Retail and Bao Ngoc
The main advantage of trading using opposite Vincom Retail and Bao Ngoc positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vincom Retail position performs unexpectedly, Bao Ngoc 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 Bao Ngoc will offset losses from the drop in Bao Ngoc's long position.Vincom Retail vs. FIT INVEST JSC | Vincom Retail vs. Damsan JSC | Vincom Retail vs. An Phat Plastic | Vincom Retail vs. Alphanam ME |
Bao Ngoc vs. FIT INVEST JSC | Bao Ngoc vs. Damsan JSC | Bao Ngoc vs. An Phat Plastic | Bao Ngoc vs. Alphanam ME |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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