Correlation Between Lotte Data and PJ Metal

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

By analyzing existing cross correlation between Lotte Data Communication and PJ Metal Co, you can compare the effects of market volatilities on Lotte Data and PJ Metal 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 Lotte Data with a short position of PJ Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Data and PJ Metal.

Diversification Opportunities for Lotte Data and PJ Metal

0.85

Correlation Coefficient

Lotte Data  PJ Metal

Very poor diversification

The 3 months correlation between Lotte and 128660 is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Data Communication and PJ Metal Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PJ Metal and Lotte 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 Lotte Data Communication are associated (or correlated) with PJ Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PJ Metal has no effect on the direction of Lotte Data i.e., Lotte Data and PJ Metal go up and down completely randomly.

Pair Corralation between Lotte Data and PJ Metal

Assuming the 90 days trading horizon Lotte Data Communication is expected to under-perform the PJ Metal. In addition to that, Lotte Data is 3.32 times more volatile than PJ Metal Co. It trades about 0.0 of its total potential returns per unit of risk. PJ Metal Co is currently generating about 0.41 per unit of volatility. If you would invest  291,194  in PJ Metal Co on October 22, 2024 and sell it today you would earn a total of  12,806  from holding PJ Metal Co or generate 4.4% return on investment over 90 days.

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

Lotte Data Communication  vs.  PJ Metal Co

Lotte Data Communication

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Lotte Data Communication has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Stock's basic indicators remain somewhat strong which may send shares a bit higher in February 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

PJ Metal

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days PJ Metal Co has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, PJ Metal is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Lotte Data and PJ Metal

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

The idea behind Lotte Data Communication and PJ Metal Co 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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.