Correlation Between PT Data and PT Wahana

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

By analyzing existing cross correlation between PT Data Sinergitama and PT Wahana Interfood, you can compare the effects of market volatilities on PT Data and PT Wahana 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 PT Data with a short position of PT Wahana. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Data and PT Wahana.

Diversification Opportunities for PT Data and PT Wahana

-0.27

Correlation Coefficient

PT Data  PT Wahana

Very good diversification

The 3 months correlation between ELIT and COCO is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding PT Data Sinergitama and PT Wahana Interfood in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Wahana Interfood and PT Data 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 PT Data Sinergitama are associated (or correlated) with PT Wahana. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Wahana Interfood has no effect on the direction of PT Data i.e., PT Data and PT Wahana go up and down completely randomly.

Pair Corralation between PT Data and PT Wahana

Assuming the 90 days trading horizon PT Data Sinergitama is expected to generate 1.68 times more return on investment than PT Wahana. However, PT Data is 1.68 times more volatile than PT Wahana Interfood. It trades about 0.11 of its potential returns per unit of risk. PT Wahana Interfood is currently generating about -0.01 per unit of risk. If you would invest  11,800  in PT Data Sinergitama on December 29, 2024 and sell it today you would earn a total of  5,900  from holding PT Data Sinergitama or generate 50.0% return on investment over 90 days.

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

PT Data Sinergitama  vs.  PT Wahana Interfood

PT Data Sinergitama

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in PT Data Sinergitama are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Despite quite conflicting forward-looking signals, PT Data disclosed solid returns over the last few months and may actually be approaching a breakup point.

PT Wahana Interfood

Risk-Adjusted Performance

Very Weak

Over the last 90 days PT Wahana Interfood has generated negative risk-adjusted returns adding no value to investors with long positions. Despite quite persistent forward-looking signals, PT Wahana is not utilizing all of its potentials. The latest stock price mess, may contribute to short-term losses for the institutional investors.

Pair Trading with PT Data and PT Wahana

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

The idea behind PT Data Sinergitama and PT Wahana Interfood 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 Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.