Correlation Between Lotte Data and Pyung Hwa

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Can any of the company-specific risk be diversified away by investing in both Lotte Data and Pyung Hwa 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 Pyung Hwa 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 Pyung Hwa Industrial, you can compare the effects of market volatilities on Lotte Data and Pyung Hwa 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 Pyung Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Data and Pyung Hwa.

Diversification Opportunities for Lotte Data and Pyung Hwa

0.92
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Lotte and Pyung is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Data Communication and Pyung Hwa Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pyung Hwa Industrial 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 Pyung Hwa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pyung Hwa Industrial has no effect on the direction of Lotte Data i.e., Lotte Data and Pyung Hwa go up and down completely randomly.

Pair Corralation between Lotte Data and Pyung Hwa

Assuming the 90 days trading horizon Lotte Data Communication is expected to under-perform the Pyung Hwa. In addition to that, Lotte Data is 1.42 times more volatile than Pyung Hwa Industrial. It trades about -0.13 of its total potential returns per unit of risk. Pyung Hwa Industrial is currently generating about -0.08 per unit of volatility. If you would invest  100,400  in Pyung Hwa Industrial on September 17, 2024 and sell it today you would lose (9,200) from holding Pyung Hwa Industrial or give up 9.16% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

Lotte Data Communication  vs.  Pyung Hwa Industrial

 Performance 
       Timeline  
Lotte Data Communication 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
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 January 2025. The current disturbance may also be a sign of long term up-swing for the company investors.
Pyung Hwa Industrial 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Pyung Hwa Industrial has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest weak performance, the Stock's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the company investors.

Lotte Data and Pyung Hwa Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Lotte Data and Pyung Hwa

The main advantage of trading using opposite Lotte Data and Pyung Hwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Data position performs unexpectedly, Pyung Hwa 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 Pyung Hwa will offset losses from the drop in Pyung Hwa's long position.
The idea behind Lotte Data Communication and Pyung Hwa Industrial 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 Money Managers module to screen money managers from public funds and ETFs managed around the world.

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