Correlation Between Kosdaq Composite and IM CoLtd

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

Diversification Opportunities for Kosdaq Composite and IM CoLtd

0.66
  Correlation Coefficient

Poor diversification

The 3 months correlation between Kosdaq and 101390 is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Kosdaq Composite Index and IM CoLtd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IM CoLtd 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 IM CoLtd. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of IM CoLtd has no effect on the direction of Kosdaq Composite i.e., Kosdaq Composite and IM CoLtd go up and down completely randomly.
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Pair Corralation between Kosdaq Composite and IM CoLtd

Assuming the 90 days trading horizon Kosdaq Composite Index is expected to under-perform the IM CoLtd. But the index apears to be less risky and, when comparing its historical volatility, Kosdaq Composite Index is 3.82 times less risky than IM CoLtd. The index trades about -0.14 of its potential returns per unit of risk. The IM CoLtd is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest  329,000  in IM CoLtd on August 25, 2024 and sell it today you would lose (42,000) from holding IM CoLtd or give up 12.77% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy98.33%
ValuesDaily Returns

Kosdaq Composite Index  vs.  IM CoLtd

 Performance 
       Timeline  

Kosdaq Composite and IM CoLtd Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Kosdaq Composite and IM CoLtd

The main advantage of trading using opposite Kosdaq Composite and IM CoLtd positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kosdaq Composite position performs unexpectedly, IM CoLtd 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 IM CoLtd will offset losses from the drop in IM CoLtd's long position.
The idea behind Kosdaq Composite Index and IM CoLtd 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

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