Correlation Between High Income and Precious Metals
Can any of the company-specific risk be diversified away by investing in both High Income 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 High Income and Precious Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between High Income Fund and Precious Metals And, you can compare the effects of market volatilities on High Income 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 High Income with a short position of Precious Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of High Income and Precious Metals.
Diversification Opportunities for High Income and Precious Metals
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between High and Precious is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding High Income Fund and Precious Metals And in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Precious Metals And and High Income 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 High Income Fund 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 And has no effect on the direction of High Income i.e., High Income and Precious Metals go up and down completely randomly.
Pair Corralation between High Income and Precious Metals
Assuming the 90 days horizon High Income is expected to generate 23.94 times less return on investment than Precious Metals. But when comparing it to its historical volatility, High Income Fund is 8.55 times less risky than Precious Metals. It trades about 0.13 of its potential returns per unit of risk. Precious Metals And is currently generating about 0.36 of returns per unit of risk over similar time horizon. If you would invest 1,850 in Precious Metals And on December 28, 2024 and sell it today you would earn a total of 676.00 from holding Precious Metals And or generate 36.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
High Income Fund vs. Precious Metals And
Performance |
Timeline |
High Income Fund |
Precious Metals And |
High Income and Precious Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with High Income and Precious Metals
The main advantage of trading using opposite High Income and Precious Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if High Income 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.High Income vs. Ab Global Real | High Income vs. Transamerica Asset Allocation | High Income vs. Summit Global Investments | High Income vs. Qs Global Equity |
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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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
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