Correlation Between GOLDGROUP MINING and APPLIED MATERIALS
Can any of the company-specific risk be diversified away by investing in both GOLDGROUP MINING 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 GOLDGROUP MINING and APPLIED MATERIALS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GOLDGROUP MINING INC and APPLIED MATERIALS, you can compare the effects of market volatilities on GOLDGROUP MINING 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 GOLDGROUP MINING with a short position of APPLIED MATERIALS. Check out your portfolio center. Please also check ongoing floating volatility patterns of GOLDGROUP MINING and APPLIED MATERIALS.
Diversification Opportunities for GOLDGROUP MINING and APPLIED MATERIALS
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between GOLDGROUP and APPLIED is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding GOLDGROUP MINING INC and APPLIED MATERIALS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on APPLIED MATERIALS and GOLDGROUP MINING 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 GOLDGROUP MINING INC 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 GOLDGROUP MINING i.e., GOLDGROUP MINING and APPLIED MATERIALS go up and down completely randomly.
Pair Corralation between GOLDGROUP MINING and APPLIED MATERIALS
Assuming the 90 days trading horizon GOLDGROUP MINING is expected to generate 2.29 times less return on investment than APPLIED MATERIALS. In addition to that, GOLDGROUP MINING is 1.68 times more volatile than APPLIED MATERIALS. It trades about 0.04 of its total potential returns per unit of risk. APPLIED MATERIALS is currently generating about 0.14 per unit of volatility. If you would invest 13,173 in APPLIED MATERIALS on April 25, 2025 and sell it today you would earn a total of 2,731 from holding APPLIED MATERIALS or generate 20.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
GOLDGROUP MINING INC vs. APPLIED MATERIALS
Performance |
Timeline |
GOLDGROUP MINING INC |
APPLIED MATERIALS |
GOLDGROUP MINING and APPLIED MATERIALS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GOLDGROUP MINING and APPLIED MATERIALS
The main advantage of trading using opposite GOLDGROUP MINING and APPLIED MATERIALS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GOLDGROUP MINING 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.GOLDGROUP MINING vs. United Microelectronics Corp | GOLDGROUP MINING vs. Coeur Mining | GOLDGROUP MINING vs. SIMS METAL MGT | GOLDGROUP MINING vs. ARROW ELECTRONICS |
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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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