Correlation Between GM and Sekar Laut
Can any of the company-specific risk be diversified away by investing in both GM and Sekar Laut 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 Sekar Laut into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Sekar Laut Tbk, you can compare the effects of market volatilities on GM and Sekar Laut 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 Sekar Laut. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Sekar Laut.
Diversification Opportunities for GM and Sekar Laut
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between GM and Sekar is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Sekar Laut Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sekar Laut Tbk 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 Sekar Laut. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sekar Laut Tbk has no effect on the direction of GM i.e., GM and Sekar Laut go up and down completely randomly.
Pair Corralation between GM and Sekar Laut
Allowing for the 90-day total investment horizon GM is expected to generate 2.28 times less return on investment than Sekar Laut. But when comparing it to its historical volatility, General Motors is 3.01 times less risky than Sekar Laut. It trades about 0.06 of its potential returns per unit of risk. Sekar Laut Tbk is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 18,400 in Sekar Laut Tbk on September 18, 2024 and sell it today you would earn a total of 1,200 from holding Sekar Laut Tbk or generate 6.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Sekar Laut Tbk
Performance |
Timeline |
General Motors |
Sekar Laut Tbk |
GM and Sekar Laut Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Sekar Laut
The main advantage of trading using opposite GM and Sekar Laut positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Sekar Laut 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 Sekar Laut will offset losses from the drop in Sekar Laut's long position.The idea behind General Motors and Sekar Laut Tbk 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.Sekar Laut vs. Austindo Nusantara Jaya | Sekar Laut vs. Garudafood Putra Putri | Sekar Laut vs. Provident Agro Tbk | Sekar Laut vs. Dharma Satya Nusantara |
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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