Correlation Between Amazon and Capital One
Can any of the company-specific risk be diversified away by investing in both Amazon and Capital One 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 Amazon and Capital One into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amazon Inc and Capital One Financial, you can compare the effects of market volatilities on Amazon and Capital One 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 Amazon with a short position of Capital One. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amazon and Capital One.
Diversification Opportunities for Amazon and Capital One
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Amazon and Capital is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Amazon Inc and Capital One Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Capital One Financial and Amazon 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 Amazon Inc are associated (or correlated) with Capital One. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Capital One Financial has no effect on the direction of Amazon i.e., Amazon and Capital One go up and down completely randomly.
Pair Corralation between Amazon and Capital One
Assuming the 90 days trading horizon Amazon is expected to generate 1.11 times less return on investment than Capital One. But when comparing it to its historical volatility, Amazon Inc is 1.49 times less risky than Capital One. It trades about 0.32 of its potential returns per unit of risk. Capital One Financial is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 39,860 in Capital One Financial on September 28, 2024 and sell it today you would earn a total of 16,912 from holding Capital One Financial or generate 42.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.36% |
Values | Daily Returns |
Amazon Inc vs. Capital One Financial
Performance |
Timeline |
Amazon Inc |
Capital One Financial |
Amazon and Capital One Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amazon and Capital One
The main advantage of trading using opposite Amazon and Capital One positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amazon position performs unexpectedly, Capital One 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 Capital One will offset losses from the drop in Capital One's long position.The idea behind Amazon Inc and Capital One Financial 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.Capital One vs. Beyond Meat | Capital One vs. G2D Investments | Capital One vs. Apartment Investment and | Capital One vs. Global X Funds |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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