Correlation Between Banking Fund and Russell 2000
Can any of the company-specific risk be diversified away by investing in both Banking Fund and Russell 2000 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 Russell 2000 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 Russell 2000 2x, you can compare the effects of market volatilities on Banking Fund and Russell 2000 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 Russell 2000. Check out your portfolio center. Please also check ongoing floating volatility patterns of Banking Fund and Russell 2000.
Diversification Opportunities for Banking Fund and Russell 2000
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Banking and Russell is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Banking Fund Class and Russell 2000 2x in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Russell 2000 2x 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 Russell 2000. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Russell 2000 2x has no effect on the direction of Banking Fund i.e., Banking Fund and Russell 2000 go up and down completely randomly.
Pair Corralation between Banking Fund and Russell 2000
Assuming the 90 days horizon Banking Fund is expected to generate 1.76 times less return on investment than Russell 2000. But when comparing it to its historical volatility, Banking Fund Class is 1.57 times less risky than Russell 2000. It trades about 0.03 of its potential returns per unit of risk. Russell 2000 2x is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 11,144 in Russell 2000 2x on September 29, 2024 and sell it today you would earn a total of 3,469 from holding Russell 2000 2x or generate 31.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 99.8% |
Values | Daily Returns |
Banking Fund Class vs. Russell 2000 2x
Performance |
Timeline |
Banking Fund Class |
Russell 2000 2x |
Banking Fund and Russell 2000 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Banking Fund and Russell 2000
The main advantage of trading using opposite Banking Fund and Russell 2000 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Banking Fund position performs unexpectedly, Russell 2000 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 Russell 2000 will offset losses from the drop in Russell 2000's long position.Banking Fund vs. Western Asset Diversified | Banking Fund vs. Transamerica Emerging Markets | Banking Fund vs. Investec Emerging Markets | Banking Fund vs. Origin Emerging Markets |
Russell 2000 vs. Artisan Emerging Markets | Russell 2000 vs. Eagle Mlp Strategy | Russell 2000 vs. Origin Emerging Markets | Russell 2000 vs. Black Oak Emerging |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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