Correlation Between SK Hynix and KT Hitel

Can any of the company-specific risk be diversified away by investing in both SK Hynix and KT Hitel 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 SK Hynix and KT Hitel into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between SK Hynix and KT Hitel, you can compare the effects of market volatilities on SK Hynix and KT Hitel 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 SK Hynix with a short position of KT Hitel. Check out your portfolio center. Please also check ongoing floating volatility patterns of SK Hynix and KT Hitel.

Diversification Opportunities for SK Hynix and KT Hitel

0.46

Correlation Coefficient

SK Hynix  KT Hitel

Very weak diversification

The 3 months correlation between 000660 and 036030 is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding SK Hynix and KT Hitel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KT Hitel and SK Hynix 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 SK Hynix are associated (or correlated) with KT Hitel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KT Hitel has no effect on the direction of SK Hynix i.e., SK Hynix and KT Hitel go up and down completely randomly.

Pair Corralation between SK Hynix and KT Hitel

Assuming the 90 days trading horizon SK Hynix is expected to under-perform the KT Hitel. In addition to that, SK Hynix is 1.16 times more volatile than KT Hitel. It trades about -0.02 of its total potential returns per unit of risk. KT Hitel is currently generating about -0.02 per unit of volatility. If you would invest  401,500  in KT Hitel on September 2, 2024 and sell it today you would lose (25,000) from holding KT Hitel or give up 6.23% of portfolio value over 90 days.

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

SK Hynix  vs.  KT Hitel

SK Hynix

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days SK Hynix has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, SK Hynix is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

KT Hitel

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days KT Hitel has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, KT Hitel is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with SK Hynix and KT Hitel

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

The idea behind SK Hynix and KT Hitel 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.