Correlation Between IDX 30 and Graha Layar

Can any of the company-specific risk be diversified away by investing in both IDX 30 and Graha Layar 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 IDX 30 and Graha Layar into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between IDX 30 Jakarta and Graha Layar Prima, you can compare the effects of market volatilities on IDX 30 and Graha Layar 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 IDX 30 with a short position of Graha Layar. Check out your portfolio center. Please also check ongoing floating volatility patterns of IDX 30 and Graha Layar.

Diversification Opportunities for IDX 30 and Graha Layar

0.01

Correlation Coefficient

IDX 30  Graha Layar

Significant diversification

The 3 months correlation between IDX and Graha is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding IDX 30 Jakarta and Graha Layar Prima in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Graha Layar Prima and IDX 30 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 IDX 30 Jakarta are associated (or correlated) with Graha Layar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Graha Layar Prima has no effect on the direction of IDX 30 i.e., IDX 30 and Graha Layar go up and down completely randomly.

Pair Corralation between IDX 30 and Graha Layar

Assuming the 90 days trading horizon IDX 30 Jakarta is expected to under-perform the Graha Layar. But the index apears to be less risky and, when comparing its historical volatility, IDX 30 Jakarta is 1.14 times less risky than Graha Layar. The index trades about -0.14 of its potential returns per unit of risk. The Graha Layar Prima is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest  192,500  in Graha Layar Prima on September 14, 2024 and sell it today you would earn a total of  7,500  from holding Graha Layar Prima or generate 3.9% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

IDX 30 Jakarta  vs.  Graha Layar Prima

Pair Trading with IDX 30 and Graha Layar

The main advantage of trading using opposite IDX 30 and Graha Layar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IDX 30 position performs unexpectedly, Graha Layar 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 Graha Layar will offset losses from the drop in Graha Layar's long position.

The idea behind IDX 30 Jakarta and Graha Layar 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.

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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.