Correlation Between Kosdaq Composite and FnGuide

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

Diversification Opportunities for Kosdaq Composite and FnGuide

0.61

Correlation Coefficient

Kosdaq Composite  FnGuide

Poor diversification

The 3 months correlation between Kosdaq and FnGuide is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Kosdaq Composite Index and FnGuide in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FnGuide 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 FnGuide. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FnGuide has no effect on the direction of Kosdaq Composite i.e., Kosdaq Composite and FnGuide go up and down completely randomly.

Pair Corralation between Kosdaq Composite and FnGuide

Assuming the 90 days trading horizon Kosdaq Composite Index is expected to under-perform the FnGuide. But the index apears to be less risky and, when comparing its historical volatility, Kosdaq Composite Index is 1.44 times less risky than FnGuide. The index trades about -0.02 of its potential returns per unit of risk. The FnGuide is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest  805,000  in FnGuide on September 23, 2024 and sell it today you would earn a total of  9,000  from holding FnGuide or generate 1.12% return on investment over 90 days.

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

Kosdaq Composite Index  vs.  FnGuide

Pair Trading with Kosdaq Composite and FnGuide

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

The idea behind Kosdaq Composite Index and FnGuide 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.