Correlation Between Truist Financial and Southern California
Can any of the company-specific risk be diversified away by investing in both Truist Financial and Southern California 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 Truist Financial and Southern California into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Truist Financial and Southern California Bancorp, you can compare the effects of market volatilities on Truist Financial and Southern California 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 Truist Financial with a short position of Southern California. Check out your portfolio center. Please also check ongoing floating volatility patterns of Truist Financial and Southern California.
Diversification Opportunities for Truist Financial and Southern California
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Truist and Southern is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Truist Financial and Southern California Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Southern California and Truist Financial 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 Truist Financial are associated (or correlated) with Southern California. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Southern California has no effect on the direction of Truist Financial i.e., Truist Financial and Southern California go up and down completely randomly.
Pair Corralation between Truist Financial and Southern California
Assuming the 90 days trading horizon Truist Financial is expected to generate 0.74 times more return on investment than Southern California. However, Truist Financial is 1.35 times less risky than Southern California. It trades about 0.03 of its potential returns per unit of risk. Southern California Bancorp is currently generating about 0.02 per unit of risk. If you would invest 1,844 in Truist Financial on August 28, 2024 and sell it today you would earn a total of 237.00 from holding Truist Financial or generate 12.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Truist Financial vs. Southern California Bancorp
Performance |
Timeline |
Truist Financial |
Southern California |
Truist Financial and Southern California Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Truist Financial and Southern California
The main advantage of trading using opposite Truist Financial and Southern California positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Truist Financial position performs unexpectedly, Southern California 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 Southern California will offset losses from the drop in Southern California's long position.Truist Financial vs. Morgan Stanley | Truist Financial vs. KeyCorp | Truist Financial vs. KeyCorp | Truist Financial vs. KeyCorp |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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