Correlation Between SCOR PK and Aston Martin
Can any of the company-specific risk be diversified away by investing in both SCOR PK and Aston Martin 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 Aston Martin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SCOR PK and Aston Martin Lagonda, you can compare the effects of market volatilities on SCOR PK and Aston Martin 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 Aston Martin. Check out your portfolio center. Please also check ongoing floating volatility patterns of SCOR PK and Aston Martin.
Diversification Opportunities for SCOR PK and Aston Martin
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between SCOR and Aston is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding SCOR PK and Aston Martin Lagonda in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aston Martin Lagonda 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 Aston Martin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aston Martin Lagonda has no effect on the direction of SCOR PK i.e., SCOR PK and Aston Martin go up and down completely randomly.
Pair Corralation between SCOR PK and Aston Martin
Assuming the 90 days horizon SCOR PK is expected to generate 1.54 times less return on investment than Aston Martin. But when comparing it to its historical volatility, SCOR PK is 1.25 times less risky than Aston Martin. It trades about 0.01 of its potential returns per unit of risk. Aston Martin Lagonda is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 129.00 in Aston Martin Lagonda on November 4, 2024 and sell it today you would earn a total of 0.00 from holding Aston Martin Lagonda or generate 0.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
SCOR PK vs. Aston Martin Lagonda
Performance |
| Timeline |
| SCOR PK |
| Aston Martin Lagonda |
SCOR PK and Aston Martin Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SCOR PK and Aston Martin
The main advantage of trading using opposite SCOR PK and Aston Martin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SCOR PK position performs unexpectedly, Aston Martin 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 Aston Martin will offset losses from the drop in Aston Martin's long position.The idea behind SCOR PK and Aston Martin Lagonda 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.| Aston Martin vs. Geely Automobile Holdings | Aston Martin vs. Guangzhou Automobile Group | Aston Martin vs. Dowlais Group plc | Aston Martin vs. NFI Group |
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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