Correlation Between GM and Sammakorn Public
Can any of the company-specific risk be diversified away by investing in both GM and Sammakorn Public 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 Sammakorn Public into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Sammakorn Public, you can compare the effects of market volatilities on GM and Sammakorn Public 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 Sammakorn Public. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Sammakorn Public.
Diversification Opportunities for GM and Sammakorn Public
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between GM and Sammakorn is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Sammakorn Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sammakorn Public 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 Sammakorn Public. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sammakorn Public has no effect on the direction of GM i.e., GM and Sammakorn Public go up and down completely randomly.
Pair Corralation between GM and Sammakorn Public
Allowing for the 90-day total investment horizon GM is expected to generate 56.4 times less return on investment than Sammakorn Public. But when comparing it to its historical volatility, General Motors is 37.33 times less risky than Sammakorn Public. It trades about 0.05 of its potential returns per unit of risk. Sammakorn Public is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 111.00 in Sammakorn Public on September 24, 2024 and sell it today you would lose (21.00) from holding Sammakorn Public or give up 18.92% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 96.39% |
Values | Daily Returns |
General Motors vs. Sammakorn Public
Performance |
Timeline |
General Motors |
Sammakorn Public |
GM and Sammakorn Public Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Sammakorn Public
The main advantage of trading using opposite GM and Sammakorn Public positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Sammakorn Public 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 Sammakorn Public will offset losses from the drop in Sammakorn Public's long position.The idea behind General Motors and Sammakorn 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.Sammakorn Public vs. Bangkok Bank Public | Sammakorn Public vs. The Siam Cement | Sammakorn Public vs. PTT Public | Sammakorn Public vs. SCB X 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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