Correlation Between Basic Materials and Precious Metals
Can any of the company-specific risk be diversified away by investing in both Basic Materials and Precious Metals 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 Basic Materials and Precious Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Basic Materials Ultrasector and Precious Metals Ultrasector, you can compare the effects of market volatilities on Basic Materials and Precious Metals 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 Basic Materials with a short position of Precious Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Basic Materials and Precious Metals.
Diversification Opportunities for Basic Materials and Precious Metals
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Basic and Precious is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Basic Materials Ultrasector and Precious Metals Ultrasector in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Precious Metals Ultr and Basic 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 Basic Materials Ultrasector are associated (or correlated) with Precious Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Precious Metals Ultr has no effect on the direction of Basic Materials i.e., Basic Materials and Precious Metals go up and down completely randomly.
Pair Corralation between Basic Materials and Precious Metals
Assuming the 90 days horizon Basic Materials Ultrasector is expected to generate 0.37 times more return on investment than Precious Metals. However, Basic Materials Ultrasector is 2.67 times less risky than Precious Metals. It trades about -0.04 of its potential returns per unit of risk. Precious Metals Ultrasector is currently generating about -0.2 per unit of risk. If you would invest 12,195 in Basic Materials Ultrasector on August 29, 2024 and sell it today you would lose (146.00) from holding Basic Materials Ultrasector or give up 1.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Basic Materials Ultrasector vs. Precious Metals Ultrasector
Performance |
Timeline |
Basic Materials Ultr |
Precious Metals Ultr |
Basic Materials and Precious Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Basic Materials and Precious Metals
The main advantage of trading using opposite Basic Materials and Precious Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Basic Materials position performs unexpectedly, Precious Metals 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 Precious Metals will offset losses from the drop in Precious Metals' long position.Basic Materials vs. Qs Growth Fund | Basic Materials vs. T Rowe Price | Basic Materials vs. Shelton Funds | Basic Materials vs. Ab Value Fund |
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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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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