Correlation Between Dongil Metal and Lotte Data

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Can any of the company-specific risk be diversified away by investing in both Dongil Metal and Lotte Data 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 Dongil Metal and Lotte Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongil Metal Co and Lotte Data Communication, you can compare the effects of market volatilities on Dongil Metal and Lotte Data 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 Dongil Metal with a short position of Lotte Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongil Metal and Lotte Data.

Diversification Opportunities for Dongil Metal and Lotte Data

0.86
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Dongil and Lotte is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Dongil Metal Co and Lotte Data Communication in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Data Communication and Dongil Metal 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 Dongil Metal Co are associated (or correlated) with Lotte Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Data Communication has no effect on the direction of Dongil Metal i.e., Dongil Metal and Lotte Data go up and down completely randomly.

Pair Corralation between Dongil Metal and Lotte Data

Assuming the 90 days trading horizon Dongil Metal Co is expected to under-perform the Lotte Data. But the stock apears to be less risky and, when comparing its historical volatility, Dongil Metal Co is 2.71 times less risky than Lotte Data. The stock trades about -0.08 of its potential returns per unit of risk. The Lotte Data Communication is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest  2,451,965  in Lotte Data Communication on August 28, 2024 and sell it today you would lose (431,965) from holding Lotte Data Communication or give up 17.62% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Dongil Metal Co  vs.  Lotte Data Communication

 Performance 
       Timeline  
Dongil Metal 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Dongil Metal Co 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 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 December 2024. The current disturbance may also be a sign of long term up-swing for the company investors.

Dongil Metal and Lotte Data Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dongil Metal and Lotte Data

The main advantage of trading using opposite Dongil Metal and Lotte Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongil Metal position performs unexpectedly, Lotte Data 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 Lotte Data will offset losses from the drop in Lotte Data's long position.
The idea behind Dongil Metal Co and Lotte Data Communication 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.

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