Correlation Between Orange County and Cullman Bancorp

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Can any of the company-specific risk be diversified away by investing in both Orange County and Cullman Bancorp 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 Orange County and Cullman Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Orange County Bancorp and Cullman Bancorp, you can compare the effects of market volatilities on Orange County and Cullman Bancorp 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 Orange County with a short position of Cullman Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Orange County and Cullman Bancorp.

Diversification Opportunities for Orange County and Cullman Bancorp

-0.05
  Correlation Coefficient

Good diversification

The 3 months correlation between Orange and Cullman is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Orange County Bancorp and Cullman Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cullman Bancorp and Orange County 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 Orange County Bancorp are associated (or correlated) with Cullman Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cullman Bancorp has no effect on the direction of Orange County i.e., Orange County and Cullman Bancorp go up and down completely randomly.

Pair Corralation between Orange County and Cullman Bancorp

Considering the 90-day investment horizon Orange County Bancorp is expected to generate 5.02 times more return on investment than Cullman Bancorp. However, Orange County is 5.02 times more volatile than Cullman Bancorp. It trades about 0.06 of its potential returns per unit of risk. Cullman Bancorp is currently generating about -0.19 per unit of risk. If you would invest  4,867  in Orange County Bancorp on August 25, 2024 and sell it today you would earn a total of  1,083  from holding Orange County Bancorp or generate 22.25% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy29.92%
ValuesDaily Returns

Orange County Bancorp  vs.  Cullman Bancorp

 Performance 
       Timeline  
Orange County Bancorp 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Orange County Bancorp has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable fundamental drivers, Orange County is not utilizing all of its potentials. The latest stock price uproar, may contribute to short-horizon losses for the private investors.
Cullman Bancorp 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Cullman Bancorp has generated negative risk-adjusted returns adding no value to investors with long positions. Despite quite persistent essential indicators, Cullman Bancorp is not utilizing all of its potentials. The current stock price mess, may contribute to short-term losses for the institutional investors.

Orange County and Cullman Bancorp Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Orange County and Cullman Bancorp

The main advantage of trading using opposite Orange County and Cullman Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Orange County position performs unexpectedly, Cullman Bancorp 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 Cullman Bancorp will offset losses from the drop in Cullman Bancorp's long position.
The idea behind Orange County Bancorp and Cullman Bancorp pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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 Global Correlations module to find global opportunities by holding instruments from different markets.

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