Correlation Between Ba Ria and Petrovietnam Technical
Can any of the company-specific risk be diversified away by investing in both Ba Ria and Petrovietnam Technical 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 Ba Ria and Petrovietnam Technical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ba Ria Thermal and Petrovietnam Technical Services, you can compare the effects of market volatilities on Ba Ria and Petrovietnam Technical 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 Ba Ria with a short position of Petrovietnam Technical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ba Ria and Petrovietnam Technical.
Diversification Opportunities for Ba Ria and Petrovietnam Technical
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between BTP and Petrovietnam is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Ba Ria Thermal and Petrovietnam Technical Service in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Petrovietnam Technical and Ba Ria 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 Ba Ria Thermal are associated (or correlated) with Petrovietnam Technical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Petrovietnam Technical has no effect on the direction of Ba Ria i.e., Ba Ria and Petrovietnam Technical go up and down completely randomly.
Pair Corralation between Ba Ria and Petrovietnam Technical
Assuming the 90 days trading horizon Ba Ria is expected to generate 3.52 times less return on investment than Petrovietnam Technical. But when comparing it to its historical volatility, Ba Ria Thermal is 1.26 times less risky than Petrovietnam Technical. It trades about 0.02 of its potential returns per unit of risk. Petrovietnam Technical Services is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 2,061,371 in Petrovietnam Technical Services on September 14, 2024 and sell it today you would earn a total of 1,358,629 from holding Petrovietnam Technical Services or generate 65.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 99.19% |
Values | Daily Returns |
Ba Ria Thermal vs. Petrovietnam Technical Service
Performance |
Timeline |
Ba Ria Thermal |
Petrovietnam Technical |
Ba Ria and Petrovietnam Technical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ba Ria and Petrovietnam Technical
The main advantage of trading using opposite Ba Ria and Petrovietnam Technical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ba Ria position performs unexpectedly, Petrovietnam Technical 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 Petrovietnam Technical will offset losses from the drop in Petrovietnam Technical's long position.Ba Ria vs. Pha Lai Thermal | Ba Ria vs. Asia Commercial Bank | Ba Ria vs. Viet Thanh Plastic | Ba Ria vs. Military 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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