Correlation Between Clean Science and KT Hitel

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

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

Diversification Opportunities for Clean Science and KT Hitel

-0.11

Correlation Coefficient

Clean Science  KT Hitel

Good diversification

The 3 months correlation between Clean and 036030 is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding Clean Science co and KT Hitel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KT Hitel and Clean Science 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 Clean Science co 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 Clean Science i.e., Clean Science and KT Hitel go up and down completely randomly.

Pair Corralation between Clean Science and KT Hitel

Assuming the 90 days trading horizon Clean Science co is expected to under-perform the KT Hitel. In addition to that, Clean Science is 1.02 times more volatile than KT Hitel. It trades about -0.06 of its total potential returns per unit of risk. KT Hitel is currently generating about -0.04 per unit of volatility. If you would invest  669,000  in KT Hitel on December 2, 2024 and sell it today you would lose (299,500) from holding KT Hitel or give up 44.77% of portfolio value over 90 days.

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

Clean Science co  vs.  KT Hitel

Clean Science co

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Clean Science co are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Clean Science may actually be approaching a critical reversion point that can send shares even higher in April 2025.

KT Hitel

Risk-Adjusted Performance

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 Clean Science and KT Hitel

The main advantage of trading using opposite Clean Science and KT Hitel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Clean Science 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 Clean Science co 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 Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.