Orange County Correlations
| OBT Stock | USD 63.80 1.71 2.75% |
The current 90-days correlation between Orange County Bancorp and Waterstone Financial is 0.56 (i.e., Very weak diversification). The correlation of Orange County is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak. If the correlation is 0, the equities are not correlated; they are entirely random.
Orange County Correlation With Market
Poor diversification
The correlation between Orange County Bancorp and DJI is 0.6 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Orange County Bancorp and DJI in the same portfolio, assuming nothing else is changed.
Orange |
Moving together with Orange Stock
| 0.62 | AX | Axos Financial | PairCorr |
| 0.7 | BY | Byline Bancorp Normal Trading | PairCorr |
| 0.65 | PB | Prosperity Bancshares Fiscal Year End 22nd of January 2025 | PairCorr |
| 0.62 | EBTC | Enterprise Bancorp Normal Trading | PairCorr |
| 0.66 | EFSC | Enterprise Financial Fiscal Year End 27th of January 2025 | PairCorr |
| 0.73 | WAFD | Washington Federal | PairCorr |
Moving against Orange Stock
| 0.38 | FRCCL | First Republic Bank | PairCorr |
| 0.38 | FRCHL | First Republic Bank | PairCorr |
| 0.33 | FRCIL | First Republic Bank | PairCorr |
Related Correlations Analysis
| 0.52 | 0.7 | 0.38 | 0.81 | 0.71 | WSBF | ||
| 0.52 | 0.15 | -0.37 | 0.39 | 0.32 | STBA | ||
| 0.7 | 0.15 | 0.72 | 0.87 | 0.86 | SMBC | ||
| 0.38 | -0.37 | 0.72 | 0.65 | 0.42 | IROQ | ||
| 0.81 | 0.39 | 0.87 | 0.65 | 0.75 | CBAN | ||
| 0.71 | 0.32 | 0.86 | 0.42 | 0.75 | HFWA | ||
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Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.High positive correlations
| High negative correlations
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Risk-Adjusted Indicators
There is a big difference between Orange Stock performing well and Orange County Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Orange County's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| WSBF | 1.57 | (0.05) | 0.04 | 0.14 | 1.73 | 2.94 | 15.80 | |||
| STBA | 1.61 | (0.21) | 0.00 | 0.08 | 1.62 | 2.96 | 18.80 | |||
| SMBC | 1.78 | 0.07 | 0.17 | 0.19 | 1.53 | 5.30 | 19.16 | |||
| IROQ | 1.08 | 0.35 | 0.12 | 24.94 | 0.97 | 3.24 | 11.15 | |||
| CBAN | 1.33 | 0.11 | 0.21 | 0.22 | 0.99 | 2.76 | 16.22 | |||
| HFWA | 1.65 | 0.04 | 0.11 | 0.18 | 1.62 | 3.50 | 19.67 |
Orange County Corporate Management
| Michael Listner | Senior Officer | Profile | |
| Robert Peacock | Sr CFO | Profile | |
| Michael Lesler | Controller VP | Profile | |
| Michael Coulter | Executive Executive | Profile | |
| Jacob Rahiman | Senior Officer | Profile | |
| Gregory Sousa | Executive Officer | Profile |