Correlation Between SCOR PK and CF Acquisition
Can any of the company-specific risk be diversified away by investing in both SCOR PK and CF Acquisition 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 CF Acquisition into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SCOR PK and CF Acquisition VII, you can compare the effects of market volatilities on SCOR PK and CF Acquisition 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 CF Acquisition. Check out your portfolio center. Please also check ongoing floating volatility patterns of SCOR PK and CF Acquisition.
Diversification Opportunities for SCOR PK and CF Acquisition
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SCOR and CFFSU is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding SCOR PK and CF Acquisition VII in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CF Acquisition VII 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 CF Acquisition. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CF Acquisition VII has no effect on the direction of SCOR PK i.e., SCOR PK and CF Acquisition go up and down completely randomly.
Pair Corralation between SCOR PK and CF Acquisition
Assuming the 90 days horizon SCOR PK is expected to generate 4.36 times less return on investment than CF Acquisition. In addition to that, SCOR PK is 17.51 times more volatile than CF Acquisition VII. It trades about 0.0 of its total potential returns per unit of risk. CF Acquisition VII is currently generating about 0.06 per unit of volatility. If you would invest 1,078 in CF Acquisition VII on September 4, 2024 and sell it today you would earn a total of 29.00 from holding CF Acquisition VII or generate 2.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.19% |
Values | Daily Returns |
SCOR PK vs. CF Acquisition VII
Performance |
Timeline |
SCOR PK |
CF Acquisition VII |
SCOR PK and CF Acquisition Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SCOR PK and CF Acquisition
The main advantage of trading using opposite SCOR PK and CF Acquisition positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SCOR PK position performs unexpectedly, CF Acquisition 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 CF Acquisition will offset losses from the drop in CF Acquisition's long position.The idea behind SCOR PK and CF Acquisition VII 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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