Orrstown Financial Services Stock Market Value
| ORRF Stock | USD 35.41 0.84 2.43% |
| Symbol | Orrstown |
Can Regional Banks industry sustain growth momentum? Does Orrstown have expansion opportunities? Factors like these will boost the valuation of Orrstown Financial. Anticipated expansion of Orrstown directly elevates investor willingness to pay premium valuations. Determining accurate worth demands scrutiny of both present operating results and projected expansion capacity. Evaluating Orrstown Financial demands reviewing these metrics collectively while recognizing certain factors exert disproportionate influence.
Quarterly Earnings Growth 0.563 | Dividend Share 1.06 | Earnings Share 4.18 | Revenue Per Share | Quarterly Revenue Growth 0.08 |
Understanding Orrstown Financial requires distinguishing between market price and book value, where the latter reflects Orrstown's accounting equity. The concept of intrinsic value—what Orrstown Financial's is actually worth based on fundamentals—guides informed investors toward better entry and exit points. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Market sentiment, economic cycles, and investor behavior can push Orrstown Financial's price substantially above or below its fundamental value.
It's important to distinguish between Orrstown Financial's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Orrstown Financial should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. In contrast, Orrstown Financial's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
Orrstown Financial '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 Orrstown Financial'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 Orrstown Financial.
| 11/01/2025 |
| 01/30/2026 |
If you would invest 0.00 in Orrstown Financial on November 1, 2025 and sell it all today you would earn a total of 0.00 from holding Orrstown Financial Services or generate 0.0% return on investment in Orrstown Financial over 90 days. Orrstown Financial is related to or competes with Mid Penn, MetroCity Bankshares, First Financial, Camden National, Great Southern, Capital City, and Independent Bank. Orrstown Financial Services, Inc. operates as the holding company for Orrstown Bank that provides commercial banking and... More
Orrstown Financial 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 Orrstown Financial'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 Orrstown Financial Services upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.42 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 8.73 | |||
| Value At Risk | (2.49) | |||
| Potential Upside | 2.73 |
Orrstown Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Orrstown Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Orrstown Financial's standard deviation. In reality, there are many statistical measures that can use Orrstown Financial historical prices to predict the future Orrstown Financial's volatility.| Risk Adjusted Performance | 0.0327 | |||
| Jensen Alpha | 0.0029 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.0545 |
Orrstown Financial January 30, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0327 | |||
| Market Risk Adjusted Performance | 0.0645 | |||
| Mean Deviation | 1.11 | |||
| Semi Deviation | 1.32 | |||
| Downside Deviation | 1.42 | |||
| Coefficient Of Variation | 2663.01 | |||
| Standard Deviation | 1.57 | |||
| Variance | 2.48 | |||
| Information Ratio | (0) | |||
| Jensen Alpha | 0.0029 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.0545 | |||
| Maximum Drawdown | 8.73 | |||
| Value At Risk | (2.49) | |||
| Potential Upside | 2.73 | |||
| Downside Variance | 2.02 | |||
| Semi Variance | 1.74 | |||
| Expected Short fall | (1.36) | |||
| Skewness | 0.251 | |||
| Kurtosis | 1.42 |
Orrstown Financial Backtested Returns
At this point, Orrstown Financial is very steady. Orrstown Financial maintains Sharpe Ratio (i.e., Efficiency) of 0.0712, which implies the firm had a 0.0712 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Orrstown Financial, which you can use to evaluate the volatility of the company. Please check Orrstown Financial's Coefficient Of Variation of 2663.01, semi deviation of 1.32, and Risk Adjusted Performance of 0.0327 to confirm if the risk estimate we provide is consistent with the expected return of 0.11%. Orrstown Financial has a performance score of 5 on a scale of 0 to 100. The company holds a Beta of 0.9, which implies possible diversification benefits within a given portfolio. Orrstown Financial returns are very sensitive to returns on the market. As the market goes up or down, Orrstown Financial is expected to follow. Orrstown Financial right now holds a risk of 1.59%. Please check Orrstown Financial potential upside, as well as the relationship between the kurtosis and day typical price , to decide if Orrstown Financial will be following its historical price patterns.
Auto-correlation | -0.1 |
Very weak reverse predictability
Orrstown Financial Services has very weak reverse predictability. Overlapping area represents the amount of predictability between Orrstown Financial time series from 1st of November 2025 to 16th of December 2025 and 16th of December 2025 to 30th of January 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 Orrstown Financial price movement. The serial correlation of -0.1 indicates that less than 10.0% of current Orrstown Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.1 | |
| Spearman Rank Test | -0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.64 |
Currently Active Assets on Macroaxis
When determining whether Orrstown Financial is a strong investment it is important to analyze Orrstown Financial's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Orrstown Financial's future performance. For an informed investment choice regarding Orrstown Stock, refer to the following important reports:Check out Orrstown Financial Correlation, Orrstown Financial Volatility and Orrstown Financial Performance module to complement your research on Orrstown Financial. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Orrstown Financial 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.