Correlation Between Ba Ria and Post
Can any of the company-specific risk be diversified away by investing in both Ba Ria and Post 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 Post 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 Post and Telecommunications, you can compare the effects of market volatilities on Ba Ria and Post 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 Post. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ba Ria and Post.
Diversification Opportunities for Ba Ria and Post
Poor diversification
The 3 months correlation between BTP and Post is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Ba Ria Thermal and Post and Telecommunications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Post and Telecommuni 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 Post. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Post and Telecommuni has no effect on the direction of Ba Ria i.e., Ba Ria and Post go up and down completely randomly.
Pair Corralation between Ba Ria and Post
Assuming the 90 days trading horizon Ba Ria Thermal is expected to generate 0.28 times more return on investment than Post. However, Ba Ria Thermal is 3.53 times less risky than Post. It trades about 0.65 of its potential returns per unit of risk. Post and Telecommunications is currently generating about 0.0 per unit of risk. If you would invest 1,115,000 in Ba Ria Thermal on September 25, 2024 and sell it today you would earn a total of 85,000 from holding Ba Ria Thermal or generate 7.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ba Ria Thermal vs. Post and Telecommunications
Performance |
Timeline |
Ba Ria Thermal |
Post and Telecommuni |
Ba Ria and Post Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ba Ria and Post
The main advantage of trading using opposite Ba Ria and Post positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ba Ria position performs unexpectedly, Post 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 Post will offset losses from the drop in Post's long position.The idea behind Ba Ria Thermal and Post and Telecommunications pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Post vs. Ba Ria Thermal | Post vs. Hochiminh City Metal | Post vs. Industrial Urban Development | Post vs. Long An Food |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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