Correlation Between Financial Industries and Wells Fargo
Can any of the company-specific risk be diversified away by investing in both Financial Industries and Wells Fargo 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 Wells Fargo 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 Wells Fargo Mon, you can compare the effects of market volatilities on Financial Industries and Wells Fargo 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 Wells Fargo. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financial Industries and Wells Fargo.
Diversification Opportunities for Financial Industries and Wells Fargo
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Financial and Wells is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Financial Industries Fund and Wells Fargo Mon in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wells Fargo Mon 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 Wells Fargo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wells Fargo Mon has no effect on the direction of Financial Industries i.e., Financial Industries and Wells Fargo go up and down completely randomly.
Pair Corralation between Financial Industries and Wells Fargo
Assuming the 90 days horizon Financial Industries is expected to generate 1.35 times less return on investment than Wells Fargo. But when comparing it to its historical volatility, Financial Industries Fund is 1.14 times less risky than Wells Fargo. It trades about 0.19 of its potential returns per unit of risk. Wells Fargo Mon is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest 1,646 in Wells Fargo Mon on April 28, 2025 and sell it today you would earn a total of 244.00 from holding Wells Fargo Mon or generate 14.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Financial Industries Fund vs. Wells Fargo Mon
Performance |
Timeline |
Financial Industries |
Wells Fargo Mon |
Financial Industries and Wells Fargo Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Financial Industries and Wells Fargo
The main advantage of trading using opposite Financial Industries and Wells Fargo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financial Industries position performs unexpectedly, Wells Fargo 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 Wells Fargo will offset losses from the drop in Wells Fargo's long position.Financial Industries vs. Davis Government Bond | Financial Industries vs. Inverse Government Long | Financial Industries vs. Virtus Seix Government | Financial Industries vs. Aig Government Money |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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