Correlation Between OReilly Automotive and Applied Materials
Can any of the company-specific risk be diversified away by investing in both OReilly Automotive and Applied Materials 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 OReilly Automotive and Applied Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between OReilly Automotive and Applied Materials, you can compare the effects of market volatilities on OReilly Automotive and Applied Materials 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 OReilly Automotive with a short position of Applied Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of OReilly Automotive and Applied Materials.
Diversification Opportunities for OReilly Automotive and Applied Materials
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between OReilly and Applied is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding OReilly Automotive and Applied Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Applied Materials and OReilly Automotive 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 OReilly Automotive are associated (or correlated) with Applied Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Applied Materials has no effect on the direction of OReilly Automotive i.e., OReilly Automotive and Applied Materials go up and down completely randomly.
Pair Corralation between OReilly Automotive and Applied Materials
Assuming the 90 days horizon OReilly Automotive is expected to generate 0.55 times more return on investment than Applied Materials. However, OReilly Automotive is 1.82 times less risky than Applied Materials. It trades about 0.12 of its potential returns per unit of risk. Applied Materials is currently generating about -0.07 per unit of risk. If you would invest 104,750 in OReilly Automotive on October 5, 2024 and sell it today you would earn a total of 10,850 from holding OReilly Automotive or generate 10.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
OReilly Automotive vs. Applied Materials
Performance |
Timeline |
OReilly Automotive |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
OK
Applied Materials |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
OReilly Automotive and Applied Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with OReilly Automotive and Applied Materials
The main advantage of trading using opposite OReilly Automotive and Applied Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if OReilly Automotive position performs unexpectedly, Applied Materials 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 Applied Materials will offset losses from the drop in Applied Materials' long position.The idea behind OReilly Automotive and Applied Materials 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.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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