Correlation Between Kosdaq Composite and ENF Technology

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

Diversification Opportunities for Kosdaq Composite and ENF Technology

0.6
  Correlation Coefficient

Poor diversification

The 3 months correlation between Kosdaq and ENF is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Kosdaq Composite Index and ENF Technology Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ENF Technology and Kosdaq Composite 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 Kosdaq Composite Index are associated (or correlated) with ENF Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ENF Technology has no effect on the direction of Kosdaq Composite i.e., Kosdaq Composite and ENF Technology go up and down completely randomly.
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Pair Corralation between Kosdaq Composite and ENF Technology

Assuming the 90 days trading horizon Kosdaq Composite is expected to generate 1.1 times less return on investment than ENF Technology. But when comparing it to its historical volatility, Kosdaq Composite Index is 1.84 times less risky than ENF Technology. It trades about 0.01 of its potential returns per unit of risk. ENF Technology Co is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest  2,007,831  in ENF Technology Co on September 19, 2024 and sell it today you would lose (189,831) from holding ENF Technology Co or give up 9.45% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy99.79%
ValuesDaily Returns

Kosdaq Composite Index  vs.  ENF Technology Co

 Performance 
       Timeline  

Kosdaq Composite and ENF Technology Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Kosdaq Composite and ENF Technology

The main advantage of trading using opposite Kosdaq Composite and ENF Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kosdaq Composite position performs unexpectedly, ENF Technology 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 ENF Technology will offset losses from the drop in ENF Technology's long position.
The idea behind Kosdaq Composite Index and ENF Technology 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

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