Correlation Between Amazon and Toyota
Can any of the company-specific risk be diversified away by investing in both Amazon and Toyota 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 Toyota into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amazon Inc and Toyota Motor, you can compare the effects of market volatilities on Amazon and Toyota 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 Toyota. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amazon and Toyota.
Diversification Opportunities for Amazon and Toyota
Average diversification
The 3 months correlation between Amazon and Toyota is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Amazon Inc and Toyota Motor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Toyota Motor 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 Toyota. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Toyota Motor has no effect on the direction of Amazon i.e., Amazon and Toyota go up and down completely randomly.
Pair Corralation between Amazon and Toyota
Given the investment horizon of 90 days Amazon Inc is expected to generate 0.9 times more return on investment than Toyota. However, Amazon Inc is 1.11 times less risky than Toyota. It trades about -0.12 of its potential returns per unit of risk. Toyota Motor is currently generating about -0.12 per unit of risk. If you would invest 22,130 in Amazon Inc on December 30, 2024 and sell it today you would lose (2,858) from holding Amazon Inc or give up 12.91% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Amazon Inc vs. Toyota Motor
Performance |
Timeline |
Amazon Inc |
Toyota Motor |
Amazon and Toyota Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amazon and Toyota
The main advantage of trading using opposite Amazon and Toyota positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amazon position performs unexpectedly, Toyota 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 Toyota will offset losses from the drop in Toyota's long position.The idea behind Amazon Inc and Toyota Motor 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.Toyota vs. SSC Technologies Holdings, | Toyota vs. Verizon Communications | Toyota vs. Taiwan Semiconductor Manufacturing | Toyota vs. L3Harris Technologies, |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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