Correlation Between Financial Industries and Stringer Growth
Can any of the company-specific risk be diversified away by investing in both Financial Industries and Stringer Growth 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 Financial Industries and Stringer Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Financial Industries Fund and Stringer Growth Fund, you can compare the effects of market volatilities on Financial Industries and Stringer Growth 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 Financial Industries with a short position of Stringer Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financial Industries and Stringer Growth.
Diversification Opportunities for Financial Industries and Stringer Growth
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Financial and Stringer is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Financial Industries Fund and Stringer Growth Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stringer Growth and Financial Industries 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 Financial Industries Fund are associated (or correlated) with Stringer Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stringer Growth has no effect on the direction of Financial Industries i.e., Financial Industries and Stringer Growth go up and down completely randomly.
Pair Corralation between Financial Industries and Stringer Growth
Assuming the 90 days horizon Financial Industries is expected to generate 3.75 times less return on investment than Stringer Growth. In addition to that, Financial Industries is 1.83 times more volatile than Stringer Growth Fund. It trades about 0.02 of its total potential returns per unit of risk. Stringer Growth Fund is currently generating about 0.15 per unit of volatility. If you would invest 1,270 in Stringer Growth Fund on May 20, 2025 and sell it today you would earn a total of 57.00 from holding Stringer Growth Fund or generate 4.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Financial Industries Fund vs. Stringer Growth Fund
Performance |
Timeline |
Financial Industries |
Stringer Growth |
Financial Industries and Stringer Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Financial Industries and Stringer Growth
The main advantage of trading using opposite Financial Industries and Stringer Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financial Industries position performs unexpectedly, Stringer Growth 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 Stringer Growth will offset losses from the drop in Stringer Growth's long position.Financial Industries vs. Semiconductor Ultrasector Profund | Financial Industries vs. Auxier Focus Fund | Financial Industries vs. Balanced Fund Retail | Financial Industries vs. Auer Growth 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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