Correlation Between First Citizens and Texas Capital
Can any of the company-specific risk be diversified away by investing in both First Citizens and Texas Capital 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 First Citizens and Texas Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Citizens BancShares and Texas Capital Bancshares, you can compare the effects of market volatilities on First Citizens and Texas Capital 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 First Citizens with a short position of Texas Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Citizens and Texas Capital.
Diversification Opportunities for First Citizens and Texas Capital
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between First and Texas is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding First Citizens BancShares and Texas Capital Bancshares in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Texas Capital Bancshares and First Citizens 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 First Citizens BancShares are associated (or correlated) with Texas Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Texas Capital Bancshares has no effect on the direction of First Citizens i.e., First Citizens and Texas Capital go up and down completely randomly.
Pair Corralation between First Citizens and Texas Capital
Assuming the 90 days horizon First Citizens BancShares is expected to generate 0.95 times more return on investment than Texas Capital. However, First Citizens BancShares is 1.05 times less risky than Texas Capital. It trades about 0.12 of its potential returns per unit of risk. Texas Capital Bancshares is currently generating about 0.07 per unit of risk. If you would invest 2,192 in First Citizens BancShares on September 2, 2024 and sell it today you would earn a total of 198.00 from holding First Citizens BancShares or generate 9.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
First Citizens BancShares vs. Texas Capital Bancshares
Performance |
Timeline |
First Citizens BancShares |
Texas Capital Bancshares |
First Citizens and Texas Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Citizens and Texas Capital
The main advantage of trading using opposite First Citizens and Texas Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Citizens position performs unexpectedly, Texas Capital 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 Texas Capital will offset losses from the drop in Texas Capital's long position.First Citizens vs. Fifth Third Bancorp | First Citizens vs. Dime Community Bancshares | First Citizens vs. Fifth Third Bancorp | First Citizens vs. Northern Trust |
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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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