Correlation Between GM and LAM THAO
Can any of the company-specific risk be diversified away by investing in both GM and LAM THAO 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 GM and LAM THAO into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and LAM THAO FERTI, you can compare the effects of market volatilities on GM and LAM THAO 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 GM with a short position of LAM THAO. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and LAM THAO.
Diversification Opportunities for GM and LAM THAO
Very good diversification
The 3 months correlation between GM and LAM is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and LAM THAO FERTI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LAM THAO FERTI and GM 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 General Motors are associated (or correlated) with LAM THAO. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LAM THAO FERTI has no effect on the direction of GM i.e., GM and LAM THAO go up and down completely randomly.
Pair Corralation between GM and LAM THAO
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.5 times more return on investment than LAM THAO. However, GM is 1.5 times more volatile than LAM THAO FERTI. It trades about 0.14 of its potential returns per unit of risk. LAM THAO FERTI is currently generating about -0.01 per unit of risk. If you would invest 4,474 in General Motors on September 28, 2024 and sell it today you would earn a total of 954.00 from holding General Motors or generate 21.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
General Motors vs. LAM THAO FERTI
Performance |
Timeline |
General Motors |
LAM THAO FERTI |
GM and LAM THAO Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and LAM THAO
The main advantage of trading using opposite GM and LAM THAO positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, LAM THAO 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 LAM THAO will offset losses from the drop in LAM THAO's long position.The idea behind General Motors and LAM THAO FERTI 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.LAM THAO vs. FIT INVEST JSC | LAM THAO vs. Damsan JSC | LAM THAO vs. An Phat Plastic | LAM THAO vs. Alphanam ME |
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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
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