Correlation Between SK TELECOM and Engie SA
Can any of the company-specific risk be diversified away by investing in both SK TELECOM and Engie SA 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 Engie SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SK TELECOM TDADR and Engie SA, you can compare the effects of market volatilities on SK TELECOM and Engie SA 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 Engie SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of SK TELECOM and Engie SA.
Diversification Opportunities for SK TELECOM and Engie SA
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between KMBA and Engie is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding SK TELECOM TDADR and Engie SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Engie SA 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 TDADR are associated (or correlated) with Engie SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Engie SA has no effect on the direction of SK TELECOM i.e., SK TELECOM and Engie SA go up and down completely randomly.
Pair Corralation between SK TELECOM and Engie SA
Assuming the 90 days trading horizon SK TELECOM TDADR is expected to generate 1.52 times more return on investment than Engie SA. However, SK TELECOM is 1.52 times more volatile than Engie SA. It trades about 0.02 of its potential returns per unit of risk. Engie SA is currently generating about 0.02 per unit of risk. If you would invest 1,950 in SK TELECOM TDADR on September 27, 2024 and sell it today you would earn a total of 90.00 from holding SK TELECOM TDADR or generate 4.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SK TELECOM TDADR vs. Engie SA
Performance |
Timeline |
SK TELECOM TDADR |
Engie SA |
SK TELECOM and Engie SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SK TELECOM and Engie SA
The main advantage of trading using opposite SK TELECOM and Engie SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SK TELECOM position performs unexpectedly, Engie SA 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 Engie SA will offset losses from the drop in Engie SA's long position.The idea behind SK TELECOM TDADR and Engie SA 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.Engie SA vs. PT Ace Hardware | Engie SA vs. HANOVER INSURANCE | Engie SA vs. Singapore Reinsurance | Engie SA vs. Direct Line Insurance |
Check out your portfolio center.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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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