Correlation Between Financial Industries and Vy Franklin
Can any of the company-specific risk be diversified away by investing in both Financial Industries and Vy Franklin 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 Vy Franklin 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 Vy Franklin Income, you can compare the effects of market volatilities on Financial Industries and Vy Franklin 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 Vy Franklin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financial Industries and Vy Franklin.
Diversification Opportunities for Financial Industries and Vy Franklin
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Financial and IIFSX is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Financial Industries Fund and Vy Franklin Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vy Franklin Income 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 Vy Franklin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vy Franklin Income has no effect on the direction of Financial Industries i.e., Financial Industries and Vy Franklin go up and down completely randomly.
Pair Corralation between Financial Industries and Vy Franklin
Assuming the 90 days horizon Financial Industries is expected to generate 1.2 times less return on investment than Vy Franklin. In addition to that, Financial Industries is 3.0 times more volatile than Vy Franklin Income. It trades about 0.07 of its total potential returns per unit of risk. Vy Franklin Income is currently generating about 0.27 per unit of volatility. If you would invest 1,026 in Vy Franklin Income on May 27, 2025 and sell it today you would earn a total of 49.00 from holding Vy Franklin Income or generate 4.78% 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. Vy Franklin Income
Performance |
Timeline |
Financial Industries |
Vy Franklin Income |
Financial Industries and Vy Franklin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Financial Industries and Vy Franklin
The main advantage of trading using opposite Financial Industries and Vy Franklin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financial Industries position performs unexpectedly, Vy Franklin 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 Vy Franklin will offset losses from the drop in Vy Franklin's long position.Financial Industries vs. Sa Real Estate | Financial Industries vs. Nuveen Real Estate | Financial Industries vs. Baron Real Estate | Financial Industries vs. Amg Managers Centersquare |
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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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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