Correlation Between Athens General and IDX 30

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

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

Diversification Opportunities for Athens General and IDX 30

-0.88

Correlation Coefficient

Athens General  IDX 30

Pay attention - limited upside

The 3 months correlation between Athens and IDX is -0.88. Overlapping area represents the amount of risk that can be diversified away by holding Athens General Composite and IDX 30 Jakarta in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IDX 30 Jakarta and Athens General 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 Athens General Composite are associated (or correlated) with IDX 30. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of IDX 30 Jakarta has no effect on the direction of Athens General i.e., Athens General and IDX 30 go up and down completely randomly.

Pair Corralation between Athens General and IDX 30

Assuming the 90 days trading horizon Athens General Composite is expected to generate 0.63 times more return on investment than IDX 30. However, Athens General Composite is 1.59 times less risky than IDX 30. It trades about 0.09 of its potential returns per unit of risk. IDX 30 Jakarta is currently generating about -0.08 per unit of risk. If you would invest  150,661  in Athens General Composite on January 6, 2025 and sell it today you would earn a total of  9,094  from holding Athens General Composite or generate 6.04% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Significant
Accuracy	90.48%
Values	Daily Returns

Athens General Composite  vs.  IDX 30 Jakarta

Pair Trading with Athens General and IDX 30

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

The idea behind Athens General Composite and IDX 30 Jakarta 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.

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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.