Correlation Between Vina2 Investment and FPT Digital
Can any of the company-specific risk be diversified away by investing in both Vina2 Investment and FPT Digital 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 FPT Digital 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 FPT Digital Retail, you can compare the effects of market volatilities on Vina2 Investment and FPT Digital 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 FPT Digital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vina2 Investment and FPT Digital.
Diversification Opportunities for Vina2 Investment and FPT Digital
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Vina2 and FPT is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Vina2 Investment and and FPT Digital Retail in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FPT Digital Retail 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 FPT Digital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FPT Digital Retail has no effect on the direction of Vina2 Investment i.e., Vina2 Investment and FPT Digital go up and down completely randomly.
Pair Corralation between Vina2 Investment and FPT Digital
Assuming the 90 days trading horizon Vina2 Investment and is expected to under-perform the FPT Digital. In addition to that, Vina2 Investment is 4.99 times more volatile than FPT Digital Retail. It trades about -0.08 of its total potential returns per unit of risk. FPT Digital Retail is currently generating about -0.14 per unit of volatility. If you would invest 18,600,000 in FPT Digital Retail on October 15, 2024 and sell it today you would lose (250,000) from holding FPT Digital Retail or give up 1.34% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.0% |
Values | Daily Returns |
Vina2 Investment and vs. FPT Digital Retail
Performance |
Timeline |
Vina2 Investment |
FPT Digital Retail |
Vina2 Investment and FPT Digital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vina2 Investment and FPT Digital
The main advantage of trading using opposite Vina2 Investment and FPT Digital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vina2 Investment position performs unexpectedly, FPT Digital 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 FPT Digital will offset losses from the drop in FPT Digital's long position.Vina2 Investment vs. Song Hong Aluminum | Vina2 Investment vs. Hanoi Plastics JSC | Vina2 Investment vs. Transport and Industry | Vina2 Investment vs. Sao Vang Rubber |
FPT Digital vs. PVI Reinsurance Corp | FPT Digital vs. Fecon Mining JSC | FPT Digital vs. Danang Education Investment | FPT Digital vs. BIDV Insurance Corp |
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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