Correlation Between Foodnamoo and Kosdaq Composite

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

Diversification Opportunities for Foodnamoo and Kosdaq Composite

0.75
  Correlation Coefficient

Poor diversification

The 3 months correlation between Foodnamoo and Kosdaq is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Foodnamoo and Kosdaq Composite Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kosdaq Composite Index and Foodnamoo 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 Foodnamoo are associated (or correlated) with Kosdaq Composite. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kosdaq Composite Index has no effect on the direction of Foodnamoo i.e., Foodnamoo and Kosdaq Composite go up and down completely randomly.
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Pair Corralation between Foodnamoo and Kosdaq Composite

Assuming the 90 days trading horizon Foodnamoo is expected to under-perform the Kosdaq Composite. In addition to that, Foodnamoo is 2.61 times more volatile than Kosdaq Composite Index. It trades about -0.05 of its total potential returns per unit of risk. Kosdaq Composite Index is currently generating about 0.0 per unit of volatility. If you would invest  70,121  in Kosdaq Composite Index on September 29, 2024 and sell it today you would lose (3,524) from holding Kosdaq Composite Index or give up 5.03% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy99.79%
ValuesDaily Returns

Foodnamoo  vs.  Kosdaq Composite Index

 Performance 
       Timeline  

Foodnamoo and Kosdaq Composite Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Foodnamoo and Kosdaq Composite

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

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