Correlation Between Siamgas and Li FT
Can any of the company-specific risk be diversified away by investing in both Siamgas and Li FT 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 Siamgas and Li FT into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siamgas And Petrochemicals and Li FT Power, you can compare the effects of market volatilities on Siamgas and Li FT 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 Siamgas with a short position of Li FT. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siamgas and Li FT.
Diversification Opportunities for Siamgas and Li FT
Very good diversification
The 3 months correlation between Siamgas and WS0 is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Siamgas And Petrochemicals and Li FT Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Li FT Power and Siamgas 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 Siamgas And Petrochemicals are associated (or correlated) with Li FT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Li FT Power has no effect on the direction of Siamgas i.e., Siamgas and Li FT go up and down completely randomly.
Pair Corralation between Siamgas and Li FT
Assuming the 90 days trading horizon Siamgas And Petrochemicals is expected to generate 0.71 times more return on investment than Li FT. However, Siamgas And Petrochemicals is 1.41 times less risky than Li FT. It trades about 0.01 of its potential returns per unit of risk. Li FT Power is currently generating about -0.25 per unit of risk. If you would invest 17.00 in Siamgas And Petrochemicals on September 18, 2024 and sell it today you would earn a total of 0.00 from holding Siamgas And Petrochemicals or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Siamgas And Petrochemicals vs. Li FT Power
Performance |
Timeline |
Siamgas And Petroche |
Li FT Power |
Siamgas and Li FT Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siamgas and Li FT
The main advantage of trading using opposite Siamgas and Li FT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siamgas position performs unexpectedly, Li FT 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 Li FT will offset losses from the drop in Li FT's long position.The idea behind Siamgas And Petrochemicals and Li FT Power 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.Li FT vs. Natural Health Trends | Li FT vs. Sekisui Chemical Co | Li FT vs. SHIN ETSU CHEMICAL | Li FT vs. Siamgas And Petrochemicals |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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