Correlation Between Inverse Russell and Financial Services
Can any of the company-specific risk be diversified away by investing in both Inverse Russell and Financial 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 Inverse Russell and Financial Services into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Inverse Russell 2000 and Financial Services Fund, you can compare the effects of market volatilities on Inverse Russell and Financial 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 Inverse Russell with a short position of Financial Services. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inverse Russell and Financial Services.
Diversification Opportunities for Inverse Russell and Financial Services
-0.83 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Inverse and Financial is -0.83. Overlapping area represents the amount of risk that can be diversified away by holding Inverse Russell 2000 and Financial Services Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Financial Services and Inverse Russell 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 Inverse Russell 2000 are associated (or correlated) with Financial Services. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Financial Services has no effect on the direction of Inverse Russell i.e., Inverse Russell and Financial Services go up and down completely randomly.
Pair Corralation between Inverse Russell and Financial Services
Assuming the 90 days horizon Inverse Russell 2000 is expected to generate 1.57 times more return on investment than Financial Services. However, Inverse Russell is 1.57 times more volatile than Financial Services Fund. It trades about -0.01 of its potential returns per unit of risk. Financial Services Fund is currently generating about -0.34 per unit of risk. If you would invest 4,535 in Inverse Russell 2000 on September 22, 2024 and sell it today you would lose (26.00) from holding Inverse Russell 2000 or give up 0.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 95.45% |
Values | Daily Returns |
Inverse Russell 2000 vs. Financial Services Fund
Performance |
Timeline |
Inverse Russell 2000 |
Financial Services |
Inverse Russell and Financial Services Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Inverse Russell and Financial Services
The main advantage of trading using opposite Inverse Russell and Financial Services positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inverse Russell position performs unexpectedly, Financial 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 Financial Services will offset losses from the drop in Financial Services' long position.Inverse Russell vs. Basic Materials Fund | Inverse Russell vs. Basic Materials Fund | Inverse Russell vs. Banking Fund Class | Inverse Russell vs. Basic Materials 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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