Correlation Between Kosdaq Composite and Samhyun Steel

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

Diversification Opportunities for Kosdaq Composite and Samhyun Steel

0.41

Correlation Coefficient

Kosdaq Composite  Samhyun Steel

Very weak diversification

The 3 months correlation between Kosdaq and Samhyun is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Kosdaq Composite Index and Samhyun Steel Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samhyun Steel 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 Samhyun Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samhyun Steel has no effect on the direction of Kosdaq Composite i.e., Kosdaq Composite and Samhyun Steel go up and down completely randomly.

Pair Corralation between Kosdaq Composite and Samhyun Steel

Assuming the 90 days trading horizon Kosdaq Composite Index is not expected to generate positive returns. Moreover, Kosdaq Composite is 1.11 times more volatile than Samhyun Steel Co. It trades away all of its potential returns to assume current level of volatility. Samhyun Steel Co is currently generating about 0.02 per unit of risk. If you would invest  433,136  in Samhyun Steel Co on September 2, 2024 and sell it today you would earn a total of  30,864  from holding Samhyun Steel Co or generate 7.13% return on investment over 90 days.

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

Kosdaq Composite Index  vs.  Samhyun Steel Co

Pair Trading with Kosdaq Composite and Samhyun Steel

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

The idea behind Kosdaq Composite Index and Samhyun Steel 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.