Correlation Between GM and Dana Brata
Can any of the company-specific risk be diversified away by investing in both GM and Dana Brata 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 Dana Brata into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Dana Brata Luhur, you can compare the effects of market volatilities on GM and Dana Brata 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 Dana Brata. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Dana Brata.
Diversification Opportunities for GM and Dana Brata
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GM and Dana is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Dana Brata Luhur in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dana Brata Luhur 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 Dana Brata. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dana Brata Luhur has no effect on the direction of GM i.e., GM and Dana Brata go up and down completely randomly.
Pair Corralation between GM and Dana Brata
Allowing for the 90-day total investment horizon General Motors is expected to generate 2.6 times more return on investment than Dana Brata. However, GM is 2.6 times more volatile than Dana Brata Luhur. It trades about 0.03 of its potential returns per unit of risk. Dana Brata Luhur is currently generating about -0.08 per unit of risk. If you would invest 4,851 in General Motors on September 19, 2024 and sell it today you would earn a total of 148.00 from holding General Motors or generate 3.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Dana Brata Luhur
Performance |
Timeline |
General Motors |
Dana Brata Luhur |
GM and Dana Brata Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Dana Brata
The main advantage of trading using opposite GM and Dana Brata positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Dana Brata 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 Dana Brata will offset losses from the drop in Dana Brata's long position.The idea behind General Motors and Dana Brata Luhur 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.Dana Brata vs. Pelita Samudera Shipping | Dana Brata vs. Trans Power Marine | Dana Brata vs. Kencana Energi Lestari | Dana Brata vs. Pelayaran Nelly Dwi |
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 Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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