Correlation Between Petrolimex Insurance and Vinhomes JSC
Can any of the company-specific risk be diversified away by investing in both Petrolimex Insurance and Vinhomes JSC 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 Petrolimex Insurance and Vinhomes JSC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Petrolimex Insurance Corp and Vinhomes JSC, you can compare the effects of market volatilities on Petrolimex Insurance and Vinhomes JSC 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 Petrolimex Insurance with a short position of Vinhomes JSC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petrolimex Insurance and Vinhomes JSC.
Diversification Opportunities for Petrolimex Insurance and Vinhomes JSC
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Petrolimex and Vinhomes is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Petrolimex Insurance Corp and Vinhomes JSC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vinhomes JSC and Petrolimex Insurance 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 Petrolimex Insurance Corp are associated (or correlated) with Vinhomes JSC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vinhomes JSC has no effect on the direction of Petrolimex Insurance i.e., Petrolimex Insurance and Vinhomes JSC go up and down completely randomly.
Pair Corralation between Petrolimex Insurance and Vinhomes JSC
Assuming the 90 days trading horizon Petrolimex Insurance Corp is expected to generate 1.48 times more return on investment than Vinhomes JSC. However, Petrolimex Insurance is 1.48 times more volatile than Vinhomes JSC. It trades about 0.02 of its potential returns per unit of risk. Vinhomes JSC is currently generating about 0.01 per unit of risk. If you would invest 2,198,416 in Petrolimex Insurance Corp on September 3, 2024 and sell it today you would earn a total of 71,584 from holding Petrolimex Insurance Corp or generate 3.26% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 73.47% |
| Values | Daily Returns |
Petrolimex Insurance Corp vs. Vinhomes JSC
Performance |
| Timeline |
| Petrolimex Insurance Corp |
| Vinhomes JSC |
Petrolimex Insurance and Vinhomes JSC Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Petrolimex Insurance and Vinhomes JSC
The main advantage of trading using opposite Petrolimex Insurance and Vinhomes JSC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petrolimex Insurance position performs unexpectedly, Vinhomes JSC 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 Vinhomes JSC will offset losses from the drop in Vinhomes JSC's long position.| Petrolimex Insurance vs. FIT INVEST JSC | Petrolimex Insurance vs. Damsan JSC | Petrolimex Insurance vs. An Phat Plastic | Petrolimex Insurance 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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