Correlation Between International Business and Amazon
Can any of the company-specific risk be diversified away by investing in both International Business 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 International Business and Amazon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between International Business Machines and Amazon Inc, you can compare the effects of market volatilities on International Business 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 International Business with a short position of Amazon. Check out your portfolio center. Please also check ongoing floating volatility patterns of International Business and Amazon.
Diversification Opportunities for International Business and Amazon
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between International and Amazon is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding International Business Machine and Amazon Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amazon Inc and International Business 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 International Business Machines 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 International Business i.e., International Business and Amazon go up and down completely randomly.
Pair Corralation between International Business and Amazon
Considering the 90-day investment horizon International Business is expected to generate 1.39 times less return on investment than Amazon. But when comparing it to its historical volatility, International Business Machines is 1.48 times less risky than Amazon. It trades about 0.09 of its potential returns per unit of risk. Amazon Inc is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 14,450 in Amazon Inc on October 5, 2024 and sell it today you would earn a total of 7,950 from holding Amazon Inc or generate 55.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
International Business Machine vs. Amazon Inc
Performance |
Timeline |
International Business |
Amazon Inc |
International Business and Amazon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with International Business and Amazon
The main advantage of trading using opposite International Business and Amazon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if International Business 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.International Business vs. TRI Pointe Homes | International Business vs. NetScout Systems | International Business vs. MRC Global | International Business vs. Alcoa Corp |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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