Correlation Between PICKN PAY and Applied Materials
Can any of the company-specific risk be diversified away by investing in both PICKN PAY 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 PICKN PAY and Applied Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PICKN PAY STORES and Applied Materials, you can compare the effects of market volatilities on PICKN PAY 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 PICKN PAY with a short position of Applied Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of PICKN PAY and Applied Materials.
Diversification Opportunities for PICKN PAY and Applied Materials
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between PICKN and Applied is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding PICKN PAY STORES and Applied Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Applied Materials and PICKN PAY 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 PICKN PAY STORES 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 PICKN PAY i.e., PICKN PAY and Applied Materials go up and down completely randomly.
Pair Corralation between PICKN PAY and Applied Materials
Assuming the 90 days trading horizon PICKN PAY STORES is expected to under-perform the Applied Materials. But the stock apears to be less risky and, when comparing its historical volatility, PICKN PAY STORES is 1.07 times less risky than Applied Materials. The stock trades about -0.01 of its potential returns per unit of risk. The Applied Materials is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 12,509 in Applied Materials on April 23, 2025 and sell it today you would earn a total of 4,049 from holding Applied Materials or generate 32.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
PICKN PAY STORES vs. Applied Materials
Performance |
Timeline |
PICKN PAY STORES |
Applied Materials |
PICKN PAY and Applied Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PICKN PAY and Applied Materials
The main advantage of trading using opposite PICKN PAY and Applied Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PICKN PAY 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.PICKN PAY vs. WT OFFSHORE | PICKN PAY vs. MCEWEN MINING INC | PICKN PAY vs. EAGLE MATERIALS | PICKN PAY vs. Eagle Materials |
Applied Materials vs. Endeavour Mining PLC | Applied Materials vs. ANGLO ASIAN MINING | Applied Materials vs. Parkson Retail Group | Applied Materials vs. Eurasia Mining Plc |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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