Correlation Between Kosdaq Composite and Poongsan

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

Diversification Opportunities for Kosdaq Composite and Poongsan

0.73

Correlation Coefficient

Kosdaq Composite  Poongsan

Poor diversification

The 3 months correlation between Kosdaq and Poongsan is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Kosdaq Composite Index and Poongsan in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Poongsan 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 Poongsan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Poongsan has no effect on the direction of Kosdaq Composite i.e., Kosdaq Composite and Poongsan go up and down completely randomly.

Pair Corralation between Kosdaq Composite and Poongsan

Assuming the 90 days trading horizon Kosdaq Composite Index is expected to generate 0.62 times more return on investment than Poongsan. However, Kosdaq Composite Index is 1.61 times less risky than Poongsan. It trades about -0.02 of its potential returns per unit of risk. Poongsan is currently generating about -0.14 per unit of risk. If you would invest  67,701  in Kosdaq Composite Index on September 23, 2024 and sell it today you would lose (870.00) from holding Kosdaq Composite Index or give up 1.29% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

Kosdaq Composite Index  vs.  Poongsan

Pair Trading with Kosdaq Composite and Poongsan

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

The idea behind Kosdaq Composite Index and Poongsan 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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.