Correlation Between Apple and Arthur J
Can any of the company-specific risk be diversified away by investing in both Apple and Arthur J 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 Arthur J into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Apple Inc and Arthur J Gallagher, you can compare the effects of market volatilities on Apple and Arthur J 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 Arthur J. Check out your portfolio center. Please also check ongoing floating volatility patterns of Apple and Arthur J.
Diversification Opportunities for Apple and Arthur J
Excellent diversification
The 3 months correlation between Apple and Arthur is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Apple Inc and Arthur J Gallagher in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Arthur J Gallagher 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 Arthur J. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Arthur J Gallagher has no effect on the direction of Apple i.e., Apple and Arthur J go up and down completely randomly.
Pair Corralation between Apple and Arthur J
Given the investment horizon of 90 days Apple Inc is expected to generate 1.62 times more return on investment than Arthur J. However, Apple is 1.62 times more volatile than Arthur J Gallagher. It trades about -0.19 of its potential returns per unit of risk. Arthur J Gallagher is currently generating about -0.38 per unit of risk. If you would invest 17,867 in Apple Inc on January 20, 2024 and sell it today you would lose (1,163) from holding Apple Inc or give up 6.51% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 91.3% |
| Values | Daily Returns |
Apple Inc vs. Arthur J Gallagher
Performance |
| Timeline |
| Apple Inc |
| Arthur J Gallagher |
Apple and Arthur J Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Apple and Arthur J
The main advantage of trading using opposite Apple and Arthur J positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Apple position performs unexpectedly, Arthur J 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 Arthur J will offset losses from the drop in Arthur J's long position.The idea behind Apple Inc and Arthur J Gallagher 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.| Arthur J vs. Erie Indemnity | Arthur J vs. Crawford Company | Arthur J vs. Crawford Company | Arthur J vs. CorVel Corp |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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