Correlation Between IDX 30 and Lenox Pasifik

Can any of the company-specific risk be diversified away by investing in both IDX 30 and Lenox Pasifik 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 Lenox Pasifik 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 Lenox Pasifik Investama, you can compare the effects of market volatilities on IDX 30 and Lenox Pasifik 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 Lenox Pasifik. Check out your portfolio center. Please also check ongoing floating volatility patterns of IDX 30 and Lenox Pasifik.

Diversification Opportunities for IDX 30 and Lenox Pasifik

-0.14

Correlation Coefficient

IDX 30  Lenox Pasifik

Good diversification

The 3 months correlation between IDX and Lenox is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding IDX 30 Jakarta and Lenox Pasifik Investama in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lenox Pasifik Investama 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 Lenox Pasifik. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lenox Pasifik Investama has no effect on the direction of IDX 30 i.e., IDX 30 and Lenox Pasifik go up and down completely randomly.

Pair Corralation between IDX 30 and Lenox Pasifik

Assuming the 90 days trading horizon IDX 30 Jakarta is expected to under-perform the Lenox Pasifik. But the index apears to be less risky and, when comparing its historical volatility, IDX 30 Jakarta is 5.63 times less risky than Lenox Pasifik. The index trades about -0.09 of its potential returns per unit of risk. The Lenox Pasifik Investama is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest  5,500  in Lenox Pasifik Investama on September 13, 2024 and sell it today you would earn a total of  300.00  from holding Lenox Pasifik Investama or generate 5.45% return on investment over 90 days.

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

IDX 30 Jakarta  vs.  Lenox Pasifik Investama

Pair Trading with IDX 30 and Lenox Pasifik

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

The idea behind IDX 30 Jakarta and Lenox Pasifik Investama 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.