Correlation Between BJs Wholesale and APPLIED MATERIALS
Can any of the company-specific risk be diversified away by investing in both BJs Wholesale 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 BJs Wholesale and APPLIED MATERIALS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BJs Wholesale Club and APPLIED MATERIALS, you can compare the effects of market volatilities on BJs Wholesale 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 BJs Wholesale with a short position of APPLIED MATERIALS. Check out your portfolio center. Please also check ongoing floating volatility patterns of BJs Wholesale and APPLIED MATERIALS.
Diversification Opportunities for BJs Wholesale and APPLIED MATERIALS
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between BJs and APPLIED is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding BJs Wholesale Club and APPLIED MATERIALS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on APPLIED MATERIALS and BJs Wholesale 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 BJs Wholesale Club 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 BJs Wholesale i.e., BJs Wholesale and APPLIED MATERIALS go up and down completely randomly.
Pair Corralation between BJs Wholesale and APPLIED MATERIALS
Assuming the 90 days horizon BJs Wholesale Club is expected to generate 0.57 times more return on investment than APPLIED MATERIALS. However, BJs Wholesale Club is 1.77 times less risky than APPLIED MATERIALS. It trades about 0.11 of its potential returns per unit of risk. APPLIED MATERIALS is currently generating about -0.01 per unit of risk. If you would invest 9,050 in BJs Wholesale Club on November 29, 2024 and sell it today you would earn a total of 850.00 from holding BJs Wholesale Club or generate 9.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BJs Wholesale Club vs. APPLIED MATERIALS
Performance |
Timeline |
BJs Wholesale Club |
APPLIED MATERIALS |
BJs Wholesale and APPLIED MATERIALS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BJs Wholesale and APPLIED MATERIALS
The main advantage of trading using opposite BJs Wholesale and APPLIED MATERIALS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BJs Wholesale 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's long position.BJs Wholesale vs. PennyMac Mortgage Investment | BJs Wholesale vs. New Residential Investment | BJs Wholesale vs. Merit Medical Systems | BJs Wholesale vs. Investment AB Latour |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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