Greene County Bancorp Stock Market Value
| GCBC Stock | USD 23.58 0.23 0.97% |
| Symbol | Greene |
Will Regional Banks sector continue expanding? Could Greene diversify its offerings? Factors like these will boost the valuation of Greene County. Market participants price Greene higher when confident in its future expansion prospects. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Greene County data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth 0.414 | Dividend Share 0.38 | Earnings Share 1.98 | Revenue Per Share | Quarterly Revenue Growth 0.247 |
Greene County Bancorp's market price often diverges from its book value, the accounting figure shown on Greene's balance sheet. Smart investors calculate Greene County's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Since Greene County's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
Please note, there is a significant difference between Greene County's value and its price as these two are different measures arrived at by different means. Investors typically determine if Greene County is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Greene County's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Greene County 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Greene County's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Greene County.
| 11/15/2025 |
| 02/13/2026 |
If you would invest 0.00 in Greene County on November 15, 2025 and sell it all today you would earn a total of 0.00 from holding Greene County Bancorp or generate 0.0% return on investment in Greene County over 90 days. Greene County is related to or competes with Carter Bank, First Bank, Sierra Bancorp, West Bancorporation, Bank7 Corp, Kearny Financial, and US Century. Greene County Bancorp, Inc. operates as a holding company for The Bank of Greene County that provides various financial ... More
Greene County Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Greene County's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Greene County Bancorp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.65 | |||
| Information Ratio | 0.0108 | |||
| Maximum Drawdown | 10.25 | |||
| Value At Risk | (2.33) | |||
| Potential Upside | 4.59 |
Greene County Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Greene County's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Greene County's standard deviation. In reality, there are many statistical measures that can use Greene County historical prices to predict the future Greene County's volatility.| Risk Adjusted Performance | 0.0452 | |||
| Jensen Alpha | 0.0434 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | 0.0141 | |||
| Treynor Ratio | 0.1313 |
Greene County February 13, 2026 Technical Indicators
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| Math Transform | ||
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| Overlap Studies | ||
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| Volume Indicators |
| Risk Adjusted Performance | 0.0452 | |||
| Market Risk Adjusted Performance | 0.1413 | |||
| Mean Deviation | 1.7 | |||
| Semi Deviation | 1.6 | |||
| Downside Deviation | 1.65 | |||
| Coefficient Of Variation | 2084.52 | |||
| Standard Deviation | 2.17 | |||
| Variance | 4.71 | |||
| Information Ratio | 0.0108 | |||
| Jensen Alpha | 0.0434 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | 0.0141 | |||
| Treynor Ratio | 0.1313 | |||
| Maximum Drawdown | 10.25 | |||
| Value At Risk | (2.33) | |||
| Potential Upside | 4.59 | |||
| Downside Variance | 2.74 | |||
| Semi Variance | 2.56 | |||
| Expected Short fall | (2.18) | |||
| Skewness | 0.8731 | |||
| Kurtosis | 0.6194 |
Greene County Bancorp Backtested Returns
At this point, Greene County is very steady. Greene County Bancorp holds Efficiency (Sharpe) Ratio of 0.0739, which attests that the entity had a 0.0739 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Greene County Bancorp, which you can use to evaluate the volatility of the firm. Please check out Greene County's Downside Deviation of 1.65, risk adjusted performance of 0.0452, and Market Risk Adjusted Performance of 0.1413 to validate if the risk estimate we provide is consistent with the expected return of 0.16%. Greene County has a performance score of 5 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of 0.72, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Greene County's returns are expected to increase less than the market. However, during the bear market, the loss of holding Greene County is expected to be smaller as well. Greene County Bancorp right now retains a risk of 2.22%. Please check out Greene County total risk alpha, value at risk, and the relationship between the standard deviation and treynor ratio , to decide if Greene County will be following its current trending patterns.
Auto-correlation | 0.10 |
Insignificant predictability
Greene County Bancorp has insignificant predictability. Overlapping area represents the amount of predictability between Greene County time series from 15th of November 2025 to 30th of December 2025 and 30th of December 2025 to 13th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Greene County Bancorp price movement. The serial correlation of 0.1 indicates that less than 10.0% of current Greene County price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.1 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 0.82 |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Greene County Bancorp offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Greene County's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Greene County Bancorp Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Greene County Bancorp Stock:Check out Greene County Correlation, Greene County Volatility and Greene County Performance module to complement your research on Greene County. You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
Greene County technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.