Correlation Between Energy Services and Banking Fund
Can any of the company-specific risk be diversified away by investing in both Energy Services and Banking Fund 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 Banking Fund 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 Banking Fund Class, you can compare the effects of market volatilities on Energy Services and Banking Fund 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 Banking Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Energy Services and Banking Fund.
Diversification Opportunities for Energy Services and Banking Fund
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Energy and Banking is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Energy Services Fund and Banking Fund Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Banking Fund Class 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 Banking Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Banking Fund Class has no effect on the direction of Energy Services i.e., Energy Services and Banking Fund go up and down completely randomly.
Pair Corralation between Energy Services and Banking Fund
Assuming the 90 days horizon Energy Services Fund is expected to under-perform the Banking Fund. In addition to that, Energy Services is 1.44 times more volatile than Banking Fund Class. It trades about -0.26 of its total potential returns per unit of risk. Banking Fund Class is currently generating about -0.16 per unit of volatility. If you would invest 9,233 in Banking Fund Class on November 28, 2024 and sell it today you would lose (341.00) from holding Banking Fund Class or give up 3.69% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Energy Services Fund vs. Banking Fund Class
Performance |
| Timeline |
| Energy Services |
| Banking Fund Class |
Energy Services and Banking Fund Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Energy Services and Banking Fund
The main advantage of trading using opposite Energy Services and Banking Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Energy Services position performs unexpectedly, Banking Fund 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 Banking Fund will offset losses from the drop in Banking Fund's long position.| Energy Services vs. The Hartford World | Energy Services vs. Barings Active Short | Energy Services vs. Gmo High Yield | Energy Services vs. Flexible Bond Portfolio |
| Banking Fund vs. Buffalo High Yield | Banking Fund vs. Buffalo High Yield | Banking Fund vs. Virtus High Yield | Banking Fund vs. Simt High Yield |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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