Correlation Between Inverse High and Financial Services
Can any of the company-specific risk be diversified away by investing in both Inverse High 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 High 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 High Yield and Financial Services Fund, you can compare the effects of market volatilities on Inverse High 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 High with a short position of Financial Services. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inverse High and Financial Services.
Diversification Opportunities for Inverse High and Financial Services
-0.94 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Inverse and Financial is -0.94. Overlapping area represents the amount of risk that can be diversified away by holding Inverse High Yield 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 High 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 High Yield 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 High i.e., Inverse High and Financial Services go up and down completely randomly.
Pair Corralation between Inverse High and Financial Services
Assuming the 90 days horizon Inverse High Yield is expected to under-perform the Financial Services. But the mutual fund apears to be less risky and, when comparing its historical volatility, Inverse High Yield is 2.65 times less risky than Financial Services. The mutual fund trades about -0.13 of its potential returns per unit of risk. The Financial Services Fund is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 9,662 in Financial Services Fund on May 5, 2025 and sell it today you would earn a total of 599.00 from holding Financial Services Fund or generate 6.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Inverse High Yield vs. Financial Services Fund
Performance |
Timeline |
Inverse High Yield |
Financial Services |
Inverse High and Financial Services Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Inverse High and Financial Services
The main advantage of trading using opposite Inverse High and Financial Services positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inverse High 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 High vs. Highland Longshort Healthcare | Inverse High vs. Alger Health Sciences | Inverse High vs. Hartford Healthcare Hls | Inverse High vs. Putnam Global Health |
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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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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