Correlation Between Energy Services and Precious Metals
Can any of the company-specific risk be diversified away by investing in both Energy Services 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 Energy Services and Precious Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Energy Services Fund and Precious Metals Fund, you can compare the effects of market volatilities on Energy Services 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 Energy Services with a short position of Precious Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Energy Services and Precious Metals.
Diversification Opportunities for Energy Services and Precious Metals
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Energy and Precious is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Energy Services Fund and Precious Metals Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Precious Metals and Energy Services 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 Energy Services 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 has no effect on the direction of Energy Services i.e., Energy Services and Precious Metals go up and down completely randomly.
Pair Corralation between Energy Services and Precious Metals
Assuming the 90 days horizon Energy Services Fund is expected to generate 0.8 times more return on investment than Precious Metals. However, Energy Services Fund is 1.25 times less risky than Precious Metals. It trades about -0.24 of its potential returns per unit of risk. Precious Metals Fund is currently generating about -0.23 per unit of risk. If you would invest 23,766 in Energy Services Fund on September 20, 2024 and sell it today you would lose (1,952) from holding Energy Services Fund or give up 8.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Energy Services Fund vs. Precious Metals Fund
Performance |
Timeline |
Energy Services |
Precious Metals |
Energy Services and Precious Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Energy Services and Precious Metals
The main advantage of trading using opposite Energy Services and Precious Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Energy Services 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.Energy Services vs. Energy Fund Investor | Energy Services vs. Basic Materials Fund | Energy Services vs. Electronics Fund Investor | Energy Services vs. Health Care Fund |
Precious Metals vs. Basic Materials Fund | Precious Metals vs. Basic Materials Fund | Precious Metals vs. Banking Fund Class | Precious Metals vs. Basic Materials Fund |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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