Correlation Between Banking Fund and Energy Services
Can any of the company-specific risk be diversified away by investing in both Banking Fund and Energy Services 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 Banking Fund and Energy Services into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Banking Fund Class and Energy Services Fund, you can compare the effects of market volatilities on Banking Fund and Energy Services 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 Banking Fund with a short position of Energy Services. Check out your portfolio center. Please also check ongoing floating volatility patterns of Banking Fund and Energy Services.
Diversification Opportunities for Banking Fund and Energy Services
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Banking and Energy is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Banking Fund Class and Energy Services Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Energy Services and Banking 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 Banking Fund Class are associated (or correlated) with Energy Services. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Energy Services has no effect on the direction of Banking Fund i.e., Banking Fund and Energy Services go up and down completely randomly.
Pair Corralation between Banking Fund and Energy Services
Assuming the 90 days horizon Banking Fund Class is expected to generate 0.98 times more return on investment than Energy Services. However, Banking Fund Class is 1.02 times less risky than Energy Services. It trades about 0.05 of its potential returns per unit of risk. Energy Services Fund is currently generating about -0.02 per unit of risk. If you would invest 8,590 in Banking Fund Class on September 26, 2024 and sell it today you would earn a total of 419.00 from holding Banking Fund Class or generate 4.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Banking Fund Class vs. Energy Services Fund
Performance |
Timeline |
Banking Fund Class |
Energy Services |
Banking Fund and Energy Services Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Banking Fund and Energy Services
The main advantage of trading using opposite Banking Fund and Energy Services positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Banking Fund position performs unexpectedly, Energy Services 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 Energy Services will offset losses from the drop in Energy Services' long position.Banking Fund vs. Financial Services Fund | Banking Fund vs. Health Care Fund | Banking Fund vs. Retailing Fund Investor | Banking Fund vs. Technology Fund Investor |
Energy Services vs. Basic Materials Fund | Energy Services vs. Basic Materials Fund | Energy Services vs. Banking Fund Class | Energy Services 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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