Correlation Between Banking Fund and Commodities Strategy
Can any of the company-specific risk be diversified away by investing in both Banking Fund and Commodities Strategy 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 Commodities Strategy 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 Commodities Strategy Fund, you can compare the effects of market volatilities on Banking Fund and Commodities Strategy 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 Commodities Strategy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Banking Fund and Commodities Strategy.
Diversification Opportunities for Banking Fund and Commodities Strategy
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Banking and Commodities is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Banking Fund Class and Commodities Strategy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Commodities Strategy 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 Commodities Strategy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Commodities Strategy has no effect on the direction of Banking Fund i.e., Banking Fund and Commodities Strategy go up and down completely randomly.
Pair Corralation between Banking Fund and Commodities Strategy
Assuming the 90 days horizon Banking Fund Class is expected to under-perform the Commodities Strategy. In addition to that, Banking Fund is 2.19 times more volatile than Commodities Strategy Fund. It trades about -0.3 of its total potential returns per unit of risk. Commodities Strategy Fund is currently generating about 0.0 per unit of volatility. If you would invest 1,625 in Commodities Strategy Fund on September 20, 2024 and sell it today you would lose (2.00) from holding Commodities Strategy Fund or give up 0.12% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
Banking Fund Class vs. Commodities Strategy Fund
Performance |
Timeline |
Banking Fund Class |
Commodities Strategy |
Banking Fund and Commodities Strategy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Banking Fund and Commodities Strategy
The main advantage of trading using opposite Banking Fund and Commodities Strategy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Banking Fund position performs unexpectedly, Commodities Strategy 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 Commodities Strategy will offset losses from the drop in Commodities Strategy's 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 |
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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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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