Park National Stock Market Value
| PRK Stock | USD 200.01 6.25 3.23% |
| Symbol | Park |
Park National 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 Park National. If investors know Park 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 Park National 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 0.031 | Dividend Share 4.23 | Earnings Share 8.46 | Revenue Per Share 30.018 | Quarterly Revenue Growth 0.071 |
The market value of Park National is measured differently than its book value, which is the value of Park that is recorded on the company's balance sheet. Investors also form their own opinion of Park National's value that differs from its market value or its book value, called intrinsic value, which is Park National'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 Park National's market value can be influenced by many factors that don't directly affect Park National'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 Park National's value and its price as these two are different measures arrived at by different means. Investors typically determine if Park National is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Park National'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.
Park National '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 Park National'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 Park National.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Park National on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding Park National or generate 0.0% return on investment in Park National over 30 days. Park National is related to or competes with Fifth Third, Zions Bancorporation, Huntington Bancshares, Comerica, and MT Bank. Park National Corporation operates as the bank holding company for Park National Bank that provides commercial banking a... More
Park National 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 Park National'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 Park National upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.16 | |||
| Information Ratio | 0.0685 | |||
| Maximum Drawdown | 24.69 | |||
| Value At Risk | (3.23) | |||
| Potential Upside | 3.73 |
Park National Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Park National's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Park National's standard deviation. In reality, there are many statistical measures that can use Park National historical prices to predict the future Park National's volatility.| Risk Adjusted Performance | 0.0925 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.15) | |||
| Sortino Ratio | 0.0976 | |||
| Treynor Ratio | 0.1131 |
Park National Backtested Returns
Park National appears to be very steady, given 3 months investment horizon. Park National maintains Sharpe Ratio (i.e., Efficiency) of 0.0949, which implies the firm had a 0.0949% return per unit of risk over the last 3 months. We have found thirty technical indicators for Park National, which you can use to evaluate the volatility of the company. Please evaluate Park National's Risk Adjusted Performance of 0.0925, semi deviation of 1.86, and Coefficient Of Variation of 902.21 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Park National holds a performance score of 7. The company holds a Beta of 2.94, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Park National will likely underperform. Please check Park National's potential upside, as well as the relationship between the kurtosis and day typical price , to make a quick decision on whether Park National's historical price patterns will revert.
Auto-correlation | 0.36 |
Below average predictability
Park National has below average predictability. Overlapping area represents the amount of predictability between Park National 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 Park National price movement. The serial correlation of 0.36 indicates that just about 36.0% of current Park National price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.36 | |
| Spearman Rank Test | 0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 11.32 |
Park National lagged returns against current returns
Autocorrelation, which is Park National 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 Park National's stock expected returns. We can calculate the autocorrelation of Park National returns to help us make a trade decision. For example, suppose you find that Park National 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 |
Park National 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 Park National stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Park National stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Park National stock over time.
Current vs Lagged Prices |
| Timeline |
Park National Lagged Returns
When evaluating Park National's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Park National stock have on its future price. Park National 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, Park National autocorrelation shows the relationship between Park National stock current value and its past values and can show if there is a momentum factor associated with investing in Park National.
Regressed Prices |
| Timeline |
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Park National 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.