Correlation Between Kosdaq Composite and KPX Green

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

Diversification Opportunities for Kosdaq Composite and KPX Green

0.82

Correlation Coefficient

Kosdaq Composite  KPX Green

Very poor diversification

The 3 months correlation between Kosdaq and KPX is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Kosdaq Composite Index and KPX Green Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KPX Green Chemical 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 KPX Green. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KPX Green Chemical has no effect on the direction of Kosdaq Composite i.e., Kosdaq Composite and KPX Green go up and down completely randomly.

Pair Corralation between Kosdaq Composite and KPX Green

Assuming the 90 days trading horizon Kosdaq Composite Index is expected to under-perform the KPX Green. But the index apears to be less risky and, when comparing its historical volatility, Kosdaq Composite Index is 2.47 times less risky than KPX Green. The index trades about -0.02 of its potential returns per unit of risk. The KPX Green Chemical is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest  481,000  in KPX Green Chemical on September 23, 2024 and sell it today you would earn a total of  159,000  from holding KPX Green Chemical or generate 33.06% return on investment over 90 days.

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

Kosdaq Composite Index  vs.  KPX Green Chemical

Pair Trading with Kosdaq Composite and KPX Green

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

The idea behind Kosdaq Composite Index and KPX Green Chemical 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.