Correlation Between Apple and Bridgestone
Can any of the company-specific risk be diversified away by investing in both Apple and Bridgestone 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 Apple and Bridgestone into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Apple Inc and Bridgestone, you can compare the effects of market volatilities on Apple and Bridgestone 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 Apple with a short position of Bridgestone. Check out your portfolio center. Please also check ongoing floating volatility patterns of Apple and Bridgestone.
Diversification Opportunities for Apple and Bridgestone
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Apple and Bridgestone is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Apple Inc and Bridgestone in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bridgestone and Apple 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 Apple Inc are associated (or correlated) with Bridgestone. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bridgestone has no effect on the direction of Apple i.e., Apple and Bridgestone go up and down completely randomly.
Pair Corralation between Apple and Bridgestone
Assuming the 90 days trading horizon Apple Inc is expected to generate 1.05 times more return on investment than Bridgestone. However, Apple is 1.05 times more volatile than Bridgestone. It trades about 0.1 of its potential returns per unit of risk. Bridgestone is currently generating about 0.0 per unit of risk. If you would invest 12,329 in Apple Inc on October 5, 2024 and sell it today you would earn a total of 11,901 from holding Apple Inc or generate 96.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Apple Inc vs. Bridgestone
Performance |
Timeline |
Apple Inc |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Solid
Bridgestone |
Apple and Bridgestone Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Apple and Bridgestone
The main advantage of trading using opposite Apple and Bridgestone positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Apple position performs unexpectedly, Bridgestone 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 Bridgestone will offset losses from the drop in Bridgestone's long position.The idea behind Apple Inc and Bridgestone 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.Bridgestone vs. The Goodyear Tire | Bridgestone vs. Semperit Aktiengesellschaft Holding | Bridgestone vs. Polyplex Public |
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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