Correlation Between PT Global and SK TELECOM
Can any of the company-specific risk be diversified away by investing in both PT Global and SK TELECOM 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 PT Global and SK TELECOM into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Global Mediacom and SK TELECOM TDADR, you can compare the effects of market volatilities on PT Global and SK TELECOM 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 PT Global with a short position of SK TELECOM. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Global and SK TELECOM.
Diversification Opportunities for PT Global and SK TELECOM
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between 06L and KMBA is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding PT Global Mediacom and SK TELECOM TDADR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SK TELECOM TDADR and PT Global 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 PT Global Mediacom are associated (or correlated) with SK TELECOM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SK TELECOM TDADR has no effect on the direction of PT Global i.e., PT Global and SK TELECOM go up and down completely randomly.
Pair Corralation between PT Global and SK TELECOM
Assuming the 90 days trading horizon PT Global Mediacom is expected to generate 9.12 times more return on investment than SK TELECOM. However, PT Global is 9.12 times more volatile than SK TELECOM TDADR. It trades about 0.06 of its potential returns per unit of risk. SK TELECOM TDADR is currently generating about 0.08 per unit of risk. If you would invest 0.80 in PT Global Mediacom on September 3, 2024 and sell it today you would lose (0.05) from holding PT Global Mediacom or give up 6.25% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PT Global Mediacom vs. SK TELECOM TDADR
Performance |
Timeline |
PT Global Mediacom |
SK TELECOM TDADR |
PT Global and SK TELECOM Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Global and SK TELECOM
The main advantage of trading using opposite PT Global and SK TELECOM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Global position performs unexpectedly, SK TELECOM 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 SK TELECOM will offset losses from the drop in SK TELECOM's long position.The idea behind PT Global Mediacom and SK TELECOM TDADR 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.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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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