Correlation Between GM and Argha Karya
Can any of the company-specific risk be diversified away by investing in both GM and Argha Karya 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 Argha Karya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Argha Karya Prima, you can compare the effects of market volatilities on GM and Argha Karya 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 Argha Karya. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Argha Karya.
Diversification Opportunities for GM and Argha Karya
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GM and Argha is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Argha Karya Prima in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Argha Karya Prima 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 Argha Karya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Argha Karya Prima has no effect on the direction of GM i.e., GM and Argha Karya go up and down completely randomly.
Pair Corralation between GM and Argha Karya
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.71 times more return on investment than Argha Karya. However, General Motors is 1.42 times less risky than Argha Karya. It trades about 0.08 of its potential returns per unit of risk. Argha Karya Prima is currently generating about -0.04 per unit of risk. If you would invest 3,274 in General Motors on August 31, 2024 and sell it today you would earn a total of 2,276 from holding General Motors or generate 69.52% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 95.69% |
| Values | Daily Returns |
General Motors vs. Argha Karya Prima
Performance |
| Timeline |
| General Motors |
| Argha Karya Prima |
GM and Argha Karya Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Argha Karya
The main advantage of trading using opposite GM and Argha Karya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Argha Karya 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 Argha Karya will offset losses from the drop in Argha Karya's long position.The idea behind General Motors and Argha Karya Prima 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.| Argha Karya vs. Asiaplast Industries Tbk | Argha Karya vs. Alumindo Light Metal | Argha Karya vs. Berlina Tbk | Argha Karya vs. Anugerah Kagum Karya |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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