Correlation Between Applied Materials and Hochschild Mining
Can any of the company-specific risk be diversified away by investing in both Applied Materials and Hochschild Mining 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 Applied Materials and Hochschild Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applied Materials and Hochschild Mining plc, you can compare the effects of market volatilities on Applied Materials and Hochschild Mining 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 Applied Materials with a short position of Hochschild Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Materials and Hochschild Mining.
Diversification Opportunities for Applied Materials and Hochschild Mining
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Applied and Hochschild is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Applied Materials and Hochschild Mining plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hochschild Mining plc and Applied Materials 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 Applied Materials are associated (or correlated) with Hochschild Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hochschild Mining plc has no effect on the direction of Applied Materials i.e., Applied Materials and Hochschild Mining go up and down completely randomly.
Pair Corralation between Applied Materials and Hochschild Mining
Assuming the 90 days trading horizon Applied Materials is expected to generate 0.71 times more return on investment than Hochschild Mining. However, Applied Materials is 1.4 times less risky than Hochschild Mining. It trades about -0.01 of its potential returns per unit of risk. Hochschild Mining plc is currently generating about -0.04 per unit of risk. If you would invest 17,430 in Applied Materials on November 29, 2024 and sell it today you would lose (717.00) from holding Applied Materials or give up 4.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Applied Materials vs. Hochschild Mining plc
Performance |
Timeline |
Applied Materials |
Hochschild Mining plc |
Applied Materials and Hochschild Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Materials and Hochschild Mining
The main advantage of trading using opposite Applied Materials and Hochschild Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Materials position performs unexpectedly, Hochschild Mining 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 Hochschild Mining will offset losses from the drop in Hochschild Mining's long position.Applied Materials vs. Medical Properties Trust | Applied Materials vs. JLEN Environmental Assets | Applied Materials vs. Pets at Home | Applied Materials vs. bet at home AG |
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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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
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