Correlation Between Retailing Fund and Financial Services
Can any of the company-specific risk be diversified away by investing in both Retailing Fund 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 Retailing Fund and Financial Services into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Retailing Fund Investor and Financial Services Fund, you can compare the effects of market volatilities on Retailing Fund 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 Retailing Fund with a short position of Financial Services. Check out your portfolio center. Please also check ongoing floating volatility patterns of Retailing Fund and Financial Services.
Diversification Opportunities for Retailing Fund and Financial Services
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Retailing and Financial is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Retailing Fund Investor and Financial Services Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Financial Services and Retailing 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 Retailing Fund Investor 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 Retailing Fund i.e., Retailing Fund and Financial Services go up and down completely randomly.
Pair Corralation between Retailing Fund and Financial Services
Assuming the 90 days horizon Retailing Fund is expected to generate 1.35 times less return on investment than Financial Services. In addition to that, Retailing Fund is 1.04 times more volatile than Financial Services Fund. It trades about 0.06 of its total potential returns per unit of risk. Financial Services Fund is currently generating about 0.09 per unit of volatility. If you would invest 6,984 in Financial Services Fund on August 30, 2024 and sell it today you would earn a total of 3,456 from holding Financial Services Fund or generate 49.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Retailing Fund Investor vs. Financial Services Fund
Performance |
Timeline |
Retailing Fund Investor |
Financial Services |
Retailing Fund and Financial Services Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Retailing Fund and Financial Services
The main advantage of trading using opposite Retailing Fund and Financial Services positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Retailing Fund 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.Retailing Fund vs. Leisure Fund Investor | Retailing Fund vs. Banking Fund Investor | Retailing Fund vs. Technology Fund Investor | Retailing Fund vs. Financial Services 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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