Correlation Between SK Telecom and SCOR SE

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

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

Diversification Opportunities for SK Telecom and SCOR SE

-0.36

Correlation Coefficient

SK Telecom  SCOR SE

Very good diversification

The 3 months correlation between SKM and SCOR is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding SK Telecom Co and SCOR SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCOR SE and SK Telecom 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 Telecom Co are associated (or correlated) with SCOR SE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCOR SE has no effect on the direction of SK Telecom i.e., SK Telecom and SCOR SE go up and down completely randomly.

Pair Corralation between SK Telecom and SCOR SE

Considering the 90-day investment horizon SK Telecom Co is expected to under-perform the SCOR SE. In addition to that, SK Telecom is 1.13 times more volatile than SCOR SE. It trades about -0.11 of its total potential returns per unit of risk. SCOR SE is currently generating about 0.12 per unit of volatility. If you would invest  2,160  in SCOR SE on September 18, 2024 and sell it today you would earn a total of  180.00  from holding SCOR SE or generate 8.33% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	98.44%
Values	Daily Returns

SK Telecom Co  vs.  SCOR SE

SK Telecom

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days SK Telecom Co has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest weak performance, the Stock's forward-looking signals remain healthy and the recent disarray on Wall Street may also be a sign of long period gains for the firm investors.

SCOR SE

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in SCOR SE are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Despite nearly unsteady basic indicators, SCOR SE may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Pair Trading with SK Telecom and SCOR SE

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

The idea behind SK Telecom Co and SCOR SE 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.