Correlation Between T S and Energy Absolute
Can any of the company-specific risk be diversified away by investing in both T S and Energy Absolute 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 T S and Energy Absolute into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between T S Flour and Energy Absolute Public, you can compare the effects of market volatilities on T S and Energy Absolute 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 T S with a short position of Energy Absolute. Check out your portfolio center. Please also check ongoing floating volatility patterns of T S and Energy Absolute.
Diversification Opportunities for T S and Energy Absolute
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between TMILL and Energy is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding T S Flour and Energy Absolute Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Energy Absolute Public and T S 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 T S Flour are associated (or correlated) with Energy Absolute. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Energy Absolute Public has no effect on the direction of T S i.e., T S and Energy Absolute go up and down completely randomly.
Pair Corralation between T S and Energy Absolute
Assuming the 90 days trading horizon T S Flour is expected to generate 0.34 times more return on investment than Energy Absolute. However, T S Flour is 2.94 times less risky than Energy Absolute. It trades about -0.19 of its potential returns per unit of risk. Energy Absolute Public is currently generating about -0.13 per unit of risk. If you would invest 368.00 in T S Flour on September 25, 2024 and sell it today you would lose (64.00) from holding T S Flour or give up 17.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
T S Flour vs. Energy Absolute Public
Performance |
Timeline |
T S Flour |
Energy Absolute Public |
T S and Energy Absolute Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with T S and Energy Absolute
The main advantage of trading using opposite T S and Energy Absolute positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if T S position performs unexpectedly, Energy Absolute 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 Energy Absolute will offset losses from the drop in Energy Absolute's long position.The idea behind T S Flour and Energy Absolute Public 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.Energy Absolute vs. PTT Public | Energy Absolute vs. The Siam Cement | Energy Absolute vs. SCB X Public | Energy Absolute vs. Kasikornbank Public |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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