Correlation Between Energy Fund and Basic Materials
Can any of the company-specific risk be diversified away by investing in both Energy Fund and Basic 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 Energy Fund and Basic Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Energy Fund Investor and Basic Materials Fund, you can compare the effects of market volatilities on Energy Fund and Basic 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 Energy Fund with a short position of Basic Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Energy Fund and Basic Materials.
Diversification Opportunities for Energy Fund and Basic Materials
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Energy and Basic is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Energy Fund Investor and Basic Materials Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Basic Materials and Energy Fund 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 Fund Investor are associated (or correlated) with Basic Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Basic Materials has no effect on the direction of Energy Fund i.e., Energy Fund and Basic Materials go up and down completely randomly.
Pair Corralation between Energy Fund and Basic Materials
Assuming the 90 days horizon Energy Fund Investor is expected to under-perform the Basic Materials. But the mutual fund apears to be less risky and, when comparing its historical volatility, Energy Fund Investor is 1.12 times less risky than Basic Materials. The mutual fund trades about 0.0 of its potential returns per unit of risk. The Basic Materials Fund is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 6,897 in Basic Materials Fund on September 20, 2024 and sell it today you would lose (277.00) from holding Basic Materials Fund or give up 4.02% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Energy Fund Investor vs. Basic Materials Fund
Performance |
Timeline |
Energy Fund Investor |
Basic Materials |
Energy Fund and Basic Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Energy Fund and Basic Materials
The main advantage of trading using opposite Energy Fund and Basic Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Energy Fund position performs unexpectedly, Basic 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 Basic Materials will offset losses from the drop in Basic Materials' long position.Energy Fund vs. Energy Services Fund | Energy Fund vs. Basic Materials Fund | Energy Fund vs. Health Care Fund | Energy Fund vs. Precious Metals Fund |
Basic Materials vs. Energy Fund Investor | Basic Materials vs. Energy Services Fund | Basic Materials vs. Health Care Fund | Basic Materials vs. Banking Fund Investor |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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