Correlation Between GM and Sinar Mas
Can any of the company-specific risk be diversified away by investing in both GM and Sinar Mas 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 Sinar Mas into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Sinar Mas Multiartha, you can compare the effects of market volatilities on GM and Sinar Mas 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 Sinar Mas. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Sinar Mas.
Diversification Opportunities for GM and Sinar Mas
Very good diversification
The 3 months correlation between GM and Sinar is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Sinar Mas Multiartha in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sinar Mas Multiartha 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 Sinar Mas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sinar Mas Multiartha has no effect on the direction of GM i.e., GM and Sinar Mas go up and down completely randomly.
Pair Corralation between GM and Sinar Mas
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Sinar Mas. In addition to that, GM is 2.65 times more volatile than Sinar Mas Multiartha. It trades about -0.03 of its total potential returns per unit of risk. Sinar Mas Multiartha is currently generating about 0.11 per unit of volatility. If you would invest 1,460,000 in Sinar Mas Multiartha on December 27, 2024 and sell it today you would earn a total of 90,000 from holding Sinar Mas Multiartha or generate 6.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
General Motors vs. Sinar Mas Multiartha
Performance |
Timeline |
General Motors |
Sinar Mas Multiartha |
GM and Sinar Mas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Sinar Mas
The main advantage of trading using opposite GM and Sinar Mas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Sinar Mas 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 Sinar Mas will offset losses from the drop in Sinar Mas' long position.The idea behind General Motors and Sinar Mas Multiartha 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.Sinar Mas vs. Bank Mega Tbk | Sinar Mas vs. Trimegah Securities Tbk | Sinar Mas vs. Paninvest Tbk | Sinar Mas vs. Sinar Mas Agro |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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