Old Point Financial Stock Market Value
| OPOF Stock | USD 21.65 0.87 4.19% |
| Symbol | Old |
Old Point Financial Price To Book Ratio
Is Regional Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Old Point. If investors know Old will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Old Point listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.738 | Dividend Share 0.56 | Earnings Share 1.61 | Revenue Per Share 11.771 | Quarterly Revenue Growth 0.076 |
The market value of Old Point Financial is measured differently than its book value, which is the value of Old that is recorded on the company's balance sheet. Investors also form their own opinion of Old Point's value that differs from its market value or its book value, called intrinsic value, which is Old Point's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Old Point's market value can be influenced by many factors that don't directly affect Old Point's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Old Point's value and its price as these two are different measures arrived at by different means. Investors typically determine if Old Point is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Old Point'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.
Old Point '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 Old Point'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 Old Point.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Old Point on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding Old Point Financial or generate 0.0% return on investment in Old Point over 30 days. Old Point is related to or competes with First Community, Oak Valley, Chemung Financial, Home Bancorp, Home Federal, Lake Shore, and Magyar Bancorp. Old Point Financial Corporation operates as the bank holding company for The Old Point National Bank of Phoebus that pro... More
Old Point 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 Old Point'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 Old Point Financial upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.88 | |||
| Information Ratio | 0.0732 | |||
| Maximum Drawdown | 9.05 | |||
| Value At Risk | (2.21) | |||
| Potential Upside | 3.2 |
Old Point Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Old Point's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Old Point's standard deviation. In reality, there are many statistical measures that can use Old Point historical prices to predict the future Old Point's volatility.| Risk Adjusted Performance | 0.118 | |||
| Jensen Alpha | 0.1967 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.0698 | |||
| Treynor Ratio | 0.5523 |
Old Point Financial Backtested Returns
Old Point appears to be very steady, given 3 months investment horizon. Old Point Financial maintains Sharpe Ratio (i.e., Efficiency) of 0.16, which implies the firm had a 0.16% return per unit of risk over the last 3 months. We have found thirty technical indicators for Old Point Financial, which you can use to evaluate the volatility of the company. Please evaluate Old Point's Semi Deviation of 1.44, coefficient of variation of 683.25, and Risk Adjusted Performance of 0.118 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Old Point holds a performance score of 12. The company holds a Beta of 0.46, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Old Point's returns are expected to increase less than the market. However, during the bear market, the loss of holding Old Point is expected to be smaller as well. Please check Old Point's downside variance, day median price, and the relationship between the treynor ratio and kurtosis , to make a quick decision on whether Old Point's historical price patterns will revert.
Auto-correlation | 0.73 |
Good predictability
Old Point Financial has good predictability. Overlapping area represents the amount of predictability between Old Point time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Old Point Financial price movement. The serial correlation of 0.73 indicates that around 73.0% of current Old Point price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.73 | |
| Spearman Rank Test | 0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
Old Point Financial lagged returns against current returns
Autocorrelation, which is Old Point stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Old Point's stock expected returns. We can calculate the autocorrelation of Old Point returns to help us make a trade decision. For example, suppose you find that Old Point has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Old Point regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Old Point stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Old Point stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Old Point stock over time.
Current vs Lagged Prices |
| Timeline |
Old Point Lagged Returns
When evaluating Old Point's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Old Point stock have on its future price. Old Point autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Old Point autocorrelation shows the relationship between Old Point stock current value and its past values and can show if there is a momentum factor associated with investing in Old Point Financial.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Old Point Financial is a strong investment it is important to analyze Old Point'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 Old Point's future performance. For an informed investment choice regarding Old Stock, refer to the following important reports:Check out Old Point Correlation, Old Point Volatility and Old Point Alpha and Beta module to complement your research on Old Point. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Old Point 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.