Correlation Between Kosdaq Composite and KIM KINDEX

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

Diversification Opportunities for Kosdaq Composite and KIM KINDEX

-0.09

Correlation Coefficient

Kosdaq Composite  KIM KINDEX

Good diversification

The 3 months correlation between Kosdaq and KIM is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Kosdaq Composite Index and KIM KINDEX Japan in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KIM KINDEX Japan 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 KIM KINDEX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KIM KINDEX Japan has no effect on the direction of Kosdaq Composite i.e., Kosdaq Composite and KIM KINDEX go up and down completely randomly.

Pair Corralation between Kosdaq Composite and KIM KINDEX

Assuming the 90 days trading horizon Kosdaq Composite is expected to generate 12.85 times less return on investment than KIM KINDEX. In addition to that, Kosdaq Composite is 1.07 times more volatile than KIM KINDEX Japan. It trades about 0.0 of its total potential returns per unit of risk. KIM KINDEX Japan is currently generating about 0.07 per unit of volatility. If you would invest  1,838,000  in KIM KINDEX Japan on October 14, 2024 and sell it today you would earn a total of  947,000  from holding KIM KINDEX Japan or generate 51.52% return on investment over 90 days.

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

Kosdaq Composite Index  vs.  KIM KINDEX Japan

Pair Trading with Kosdaq Composite and KIM KINDEX

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

The idea behind Kosdaq Composite Index and KIM KINDEX Japan 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.