Correlation Between Nu Holdings and Huntington Bancshares
Can any of the company-specific risk be diversified away by investing in both Nu Holdings and Huntington Bancshares 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 Nu Holdings and Huntington Bancshares into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nu Holdings and Huntington Bancshares Incorporated, you can compare the effects of market volatilities on Nu Holdings and Huntington Bancshares 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 Nu Holdings with a short position of Huntington Bancshares. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nu Holdings and Huntington Bancshares.
Diversification Opportunities for Nu Holdings and Huntington Bancshares
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Nu Holdings and Huntington is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Nu Holdings and Huntington Bancshares Incorpor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Huntington Bancshares and Nu Holdings 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 Nu Holdings are associated (or correlated) with Huntington Bancshares. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Huntington Bancshares has no effect on the direction of Nu Holdings i.e., Nu Holdings and Huntington Bancshares go up and down completely randomly.
Pair Corralation between Nu Holdings and Huntington Bancshares
Allowing for the 90-day total investment horizon Nu Holdings is expected to under-perform the Huntington Bancshares. In addition to that, Nu Holdings is 2.27 times more volatile than Huntington Bancshares Incorporated. It trades about -0.11 of its total potential returns per unit of risk. Huntington Bancshares Incorporated is currently generating about -0.09 per unit of volatility. If you would invest 1,988 in Huntington Bancshares Incorporated on October 24, 2024 and sell it today you would lose (149.00) from holding Huntington Bancshares Incorporated or give up 7.49% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Nu Holdings vs. Huntington Bancshares Incorpor
Performance |
Timeline |
Nu Holdings |
Huntington Bancshares |
Nu Holdings and Huntington Bancshares Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nu Holdings and Huntington Bancshares
The main advantage of trading using opposite Nu Holdings and Huntington Bancshares positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nu Holdings position performs unexpectedly, Huntington Bancshares 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 Huntington Bancshares will offset losses from the drop in Huntington Bancshares' long position.Nu Holdings vs. JPMorgan Chase Co | Nu Holdings vs. Citigroup | Nu Holdings vs. Wells Fargo | Nu Holdings vs. Toronto Dominion Bank |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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