Correlation Between Petrovietnam Technical and Sao Mai
Can any of the company-specific risk be diversified away by investing in both Petrovietnam Technical and Sao Mai 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 Petrovietnam Technical and Sao Mai into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Petrovietnam Technical Services and Sao Mai Group, you can compare the effects of market volatilities on Petrovietnam Technical and Sao Mai 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 Petrovietnam Technical with a short position of Sao Mai. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petrovietnam Technical and Sao Mai.
Diversification Opportunities for Petrovietnam Technical and Sao Mai
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Petrovietnam and Sao is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Petrovietnam Technical Service and Sao Mai Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sao Mai Group and Petrovietnam Technical 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 Petrovietnam Technical Services are associated (or correlated) with Sao Mai. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sao Mai Group has no effect on the direction of Petrovietnam Technical i.e., Petrovietnam Technical and Sao Mai go up and down completely randomly.
Pair Corralation between Petrovietnam Technical and Sao Mai
Assuming the 90 days trading horizon Petrovietnam Technical Services is expected to under-perform the Sao Mai. In addition to that, Petrovietnam Technical is 1.17 times more volatile than Sao Mai Group. It trades about -0.19 of its total potential returns per unit of risk. Sao Mai Group is currently generating about 0.0 per unit of volatility. If you would invest 901,000 in Sao Mai Group on September 12, 2024 and sell it today you would lose (3,000) from holding Sao Mai Group or give up 0.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Petrovietnam Technical Service vs. Sao Mai Group
Performance |
Timeline |
Petrovietnam Technical |
Sao Mai Group |
Petrovietnam Technical and Sao Mai Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Petrovietnam Technical and Sao Mai
The main advantage of trading using opposite Petrovietnam Technical and Sao Mai positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petrovietnam Technical position performs unexpectedly, Sao Mai 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 Sao Mai will offset losses from the drop in Sao Mai's long position.Petrovietnam Technical vs. Construction And Investment | Petrovietnam Technical vs. VTC Telecommunications JSC | Petrovietnam Technical vs. Sao Ta Foods | Petrovietnam Technical vs. LDG Investment JSC |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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