Correlation Between Third Coast and Orange County
Can any of the company-specific risk be diversified away by investing in both Third Coast and Orange County 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 Third Coast and Orange County into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Third Coast Bancshares and Orange County Bancorp, you can compare the effects of market volatilities on Third Coast and Orange County 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 Third Coast with a short position of Orange County. Check out your portfolio center. Please also check ongoing floating volatility patterns of Third Coast and Orange County.
Diversification Opportunities for Third Coast and Orange County
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Third and Orange is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Third Coast Bancshares and Orange County Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Orange County Bancorp and Third Coast 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 Third Coast Bancshares are associated (or correlated) with Orange County. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Orange County Bancorp has no effect on the direction of Third Coast i.e., Third Coast and Orange County go up and down completely randomly.
Pair Corralation between Third Coast and Orange County
Given the investment horizon of 90 days Third Coast Bancshares is expected to generate 1.2 times more return on investment than Orange County. However, Third Coast is 1.2 times more volatile than Orange County Bancorp. It trades about 0.01 of its potential returns per unit of risk. Orange County Bancorp is currently generating about -0.11 per unit of risk. If you would invest 3,413 in Third Coast Bancshares on December 27, 2024 and sell it today you would lose (2.00) from holding Third Coast Bancshares or give up 0.06% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Third Coast Bancshares vs. Orange County Bancorp
Performance |
Timeline |
Third Coast Bancshares |
Orange County Bancorp |
Third Coast and Orange County Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Third Coast and Orange County
The main advantage of trading using opposite Third Coast and Orange County positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Third Coast position performs unexpectedly, Orange County 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 Orange County will offset losses from the drop in Orange County's long position.Third Coast vs. Byline Bancorp | Third Coast vs. Coastal Financial Corp | Third Coast vs. NBT Bancorp | Third Coast vs. Community West Bancshares |
Orange County vs. Southern States Bancshares | Orange County vs. US Century Bank | Orange County vs. Third Coast Bancshares | Orange County vs. Esquire Financial Holdings |
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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