Correlation Between Banking Fund and Inverse Government
Can any of the company-specific risk be diversified away by investing in both Banking Fund and Inverse Government 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 Inverse Government 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 Inverse Government Long, you can compare the effects of market volatilities on Banking Fund and Inverse Government 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 Inverse Government. Check out your portfolio center. Please also check ongoing floating volatility patterns of Banking Fund and Inverse Government.
Diversification Opportunities for Banking Fund and Inverse Government
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Banking and Inverse is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Banking Fund Class and Inverse Government Long in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Inverse Government Long 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 Inverse Government. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Inverse Government Long has no effect on the direction of Banking Fund i.e., Banking Fund and Inverse Government go up and down completely randomly.
Pair Corralation between Banking Fund and Inverse Government
Assuming the 90 days horizon Banking Fund Class is expected to under-perform the Inverse Government. In addition to that, Banking Fund is 1.79 times more volatile than Inverse Government Long. It trades about -0.04 of its total potential returns per unit of risk. Inverse Government Long is currently generating about 0.0 per unit of volatility. If you would invest 18,504 in Inverse Government Long on December 29, 2024 and sell it today you would lose (63.00) from holding Inverse Government Long or give up 0.34% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.39% |
Values | Daily Returns |
Banking Fund Class vs. Inverse Government Long
Performance |
Timeline |
Banking Fund Class |
Inverse Government Long |
Banking Fund and Inverse Government Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Banking Fund and Inverse Government
The main advantage of trading using opposite Banking Fund and Inverse Government positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Banking Fund position performs unexpectedly, Inverse Government 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 Inverse Government will offset losses from the drop in Inverse Government's long position.Banking Fund vs. T Rowe Price | Banking Fund vs. Retirement Living Through | Banking Fund vs. T Rowe Price | Banking Fund vs. Bmo In Retirement Fund |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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