Correlation Between Choil Aluminum and Lotte Data

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

Diversification Opportunities for Choil Aluminum and Lotte Data

0.92
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Choil and Lotte is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Choil Aluminum 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 Choil Aluminum 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 Choil Aluminum 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 Choil Aluminum i.e., Choil Aluminum and Lotte Data go up and down completely randomly.

Pair Corralation between Choil Aluminum and Lotte Data

Assuming the 90 days trading horizon Choil Aluminum is expected to under-perform the Lotte Data. In addition to that, Choil Aluminum is 1.09 times more volatile than Lotte Data Communication. It trades about -0.11 of its total potential returns per unit of risk. Lotte Data Communication is currently generating about -0.11 per unit of volatility. If you would invest  2,265,000  in Lotte Data Communication on October 6, 2024 and sell it today you would lose (293,000) from holding Lotte Data Communication or give up 12.94% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

Choil Aluminum  vs.  Lotte Data Communication

 Performance 
       Timeline  
Choil Aluminum 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Choil Aluminum 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.
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 February 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

Choil Aluminum and Lotte Data Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Choil Aluminum and Lotte Data

The main advantage of trading using opposite Choil Aluminum and Lotte Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Choil Aluminum 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 Choil Aluminum 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 ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.

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