Correlation Between Bao Ngoc and Materials Petroleum
Can any of the company-specific risk be diversified away by investing in both Bao Ngoc and Materials Petroleum 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 Bao Ngoc and Materials Petroleum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bao Ngoc Investment and Materials Petroleum JSC, you can compare the effects of market volatilities on Bao Ngoc and Materials Petroleum 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 Bao Ngoc with a short position of Materials Petroleum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bao Ngoc and Materials Petroleum.
Diversification Opportunities for Bao Ngoc and Materials Petroleum
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Bao and Materials is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Bao Ngoc Investment and Materials Petroleum JSC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Materials Petroleum JSC and Bao Ngoc 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 Bao Ngoc Investment are associated (or correlated) with Materials Petroleum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Materials Petroleum JSC has no effect on the direction of Bao Ngoc i.e., Bao Ngoc and Materials Petroleum go up and down completely randomly.
Pair Corralation between Bao Ngoc and Materials Petroleum
Assuming the 90 days trading horizon Bao Ngoc is expected to generate 2.76 times less return on investment than Materials Petroleum. But when comparing it to its historical volatility, Bao Ngoc Investment is 1.76 times less risky than Materials Petroleum. It trades about 0.01 of its potential returns per unit of risk. Materials Petroleum JSC is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 3,418,689 in Materials Petroleum JSC on October 30, 2024 and sell it today you would lose (473,689) from holding Materials Petroleum JSC or give up 13.86% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 56.45% |
Values | Daily Returns |
Bao Ngoc Investment vs. Materials Petroleum JSC
Performance |
Timeline |
Bao Ngoc Investment |
Materials Petroleum JSC |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Insignificant
Bao Ngoc and Materials Petroleum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bao Ngoc and Materials Petroleum
The main advantage of trading using opposite Bao Ngoc and Materials Petroleum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bao Ngoc position performs unexpectedly, Materials Petroleum 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 Materials Petroleum will offset losses from the drop in Materials Petroleum's long position.Bao Ngoc vs. Hai An Transport | Bao Ngoc vs. Vietnam Petroleum Transport | Bao Ngoc vs. Riverway Management JSC | Bao Ngoc vs. Ducgiang Chemicals Detergent |
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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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