Correlation Between SCOR PK and Global X
Can any of the company-specific risk be diversified away by investing in both SCOR PK and Global X 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 SCOR PK and Global X into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SCOR PK and Global X Artificial, you can compare the effects of market volatilities on SCOR PK and Global X 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 SCOR PK with a short position of Global X. Check out your portfolio center. Please also check ongoing floating volatility patterns of SCOR PK and Global X.
Diversification Opportunities for SCOR PK and Global X
Poor diversification
The 3 months correlation between SCOR and Global is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding SCOR PK and Global X Artificial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global X Artificial and SCOR PK 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 SCOR PK are associated (or correlated) with Global X. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global X Artificial has no effect on the direction of SCOR PK i.e., SCOR PK and Global X go up and down completely randomly.
Pair Corralation between SCOR PK and Global X
Assuming the 90 days horizon SCOR PK is expected to generate 2.17 times more return on investment than Global X. However, SCOR PK is 2.17 times more volatile than Global X Artificial. It trades about 0.14 of its potential returns per unit of risk. Global X Artificial is currently generating about 0.26 per unit of risk. If you would invest 238.00 in SCOR PK on September 15, 2024 and sell it today you would earn a total of 12.00 from holding SCOR PK or generate 5.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
SCOR PK vs. Global X Artificial
Performance |
Timeline |
SCOR PK |
Global X Artificial |
SCOR PK and Global X Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SCOR PK and Global X
The main advantage of trading using opposite SCOR PK and Global X positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SCOR PK position performs unexpectedly, Global X 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 Global X will offset losses from the drop in Global X's long position.The idea behind SCOR PK and Global X Artificial 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.Global X vs. Invesco DWA Utilities | Global X vs. Invesco Dynamic Large | Global X vs. SCOR PK | Global X vs. Morningstar Unconstrained Allocation |
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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