Correlation Between Nasdaq-100(r) and Wells Fargo
Can any of the company-specific risk be diversified away by investing in both Nasdaq-100(r) 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 Nasdaq-100(r) and Wells Fargo into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nasdaq 100 2x Strategy and Wells Fargo Large, you can compare the effects of market volatilities on Nasdaq-100(r) 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 Nasdaq-100(r) with a short position of Wells Fargo. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nasdaq-100(r) and Wells Fargo.
Diversification Opportunities for Nasdaq-100(r) and Wells Fargo
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Nasdaq-100(r) and Wells is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Nasdaq 100 2x Strategy and Wells Fargo Large in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wells Fargo Large and Nasdaq-100(r) 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 Nasdaq 100 2x Strategy 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 Large has no effect on the direction of Nasdaq-100(r) i.e., Nasdaq-100(r) and Wells Fargo go up and down completely randomly.
Pair Corralation between Nasdaq-100(r) and Wells Fargo
Assuming the 90 days horizon Nasdaq 100 2x Strategy is expected to generate 1.02 times more return on investment than Wells Fargo. However, Nasdaq-100(r) is 1.02 times more volatile than Wells Fargo Large. It trades about -0.13 of its potential returns per unit of risk. Wells Fargo Large is currently generating about -0.22 per unit of risk. If you would invest 43,417 in Nasdaq 100 2x Strategy on October 11, 2024 and sell it today you would lose (4,156) from holding Nasdaq 100 2x Strategy or give up 9.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Nasdaq 100 2x Strategy vs. Wells Fargo Large
Performance |
Timeline |
Nasdaq 100 2x |
Wells Fargo Large |
Nasdaq-100(r) and Wells Fargo Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nasdaq-100(r) and Wells Fargo
The main advantage of trading using opposite Nasdaq-100(r) and Wells Fargo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nasdaq-100(r) 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.Nasdaq-100(r) vs. California Municipal Portfolio | Nasdaq-100(r) vs. Aig Government Money | Nasdaq-100(r) vs. Dreyfus Municipal Bond | Nasdaq-100(r) vs. Lord Abbett Intermediate |
Wells Fargo vs. Wcm Focused Emerging | Wells Fargo vs. Oberweis Emerging Growth | Wells Fargo vs. Nasdaq 100 2x Strategy | Wells Fargo vs. Balanced Strategy Fund |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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