Correlation Between Carsales and Amazon
Can any of the company-specific risk be diversified away by investing in both Carsales and Amazon 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 Carsales and Amazon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Carsales and Amazon Inc, you can compare the effects of market volatilities on Carsales and Amazon 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 Carsales with a short position of Amazon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Carsales and Amazon.
Diversification Opportunities for Carsales and Amazon
Very poor diversification
The 3 months correlation between Carsales and Amazon is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Carsales and Amazon Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amazon Inc and Carsales 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 Carsales are associated (or correlated) with Amazon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amazon Inc has no effect on the direction of Carsales i.e., Carsales and Amazon go up and down completely randomly.
Pair Corralation between Carsales and Amazon
Assuming the 90 days trading horizon Carsales is expected to generate 1.56 times less return on investment than Amazon. But when comparing it to its historical volatility, Carsales is 1.22 times less risky than Amazon. It trades about 0.14 of its potential returns per unit of risk. Amazon Inc is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 16,180 in Amazon Inc on September 2, 2024 and sell it today you would earn a total of 3,502 from holding Amazon Inc or generate 21.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Carsales vs. Amazon Inc
Performance |
Timeline |
Carsales |
Amazon Inc |
Carsales and Amazon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Carsales and Amazon
The main advantage of trading using opposite Carsales and Amazon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carsales position performs unexpectedly, Amazon 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 Amazon will offset losses from the drop in Amazon's long position.The idea behind Carsales and Amazon Inc 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.Amazon vs. CECO ENVIRONMENTAL | Amazon vs. ALGOMA STEEL GROUP | Amazon vs. ITALIAN WINE BRANDS | Amazon vs. Insteel Industries |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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