PNC Financial Stock Forecast - Polynomial Regression
| PNC Stock | USD 205.75 1.80 0.88% |
The Polynomial Regression forecasted value of PNC Financial Services on the next trading day is expected to be 212.28 with a mean absolute deviation of 3.36 and the sum of the absolute errors of 205.05. PNC Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast PNC Financial stock prices and determine the direction of PNC Financial Services's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of PNC Financial's historical fundamentals, such as revenue growth or operating cash flow patterns.
PNC |
PNC Financial Polynomial Regression Price Forecast For the 23rd of November
Given 90 days horizon, the Polynomial Regression forecasted value of PNC Financial Services on the next trading day is expected to be 212.28 with a mean absolute deviation of 3.36, mean absolute percentage error of 16.83, and the sum of the absolute errors of 205.05.Please note that although there have been many attempts to predict PNC Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that PNC Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
PNC Financial Stock Forecast Pattern
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PNC Financial Forecasted Value
In the context of forecasting PNC Financial's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. PNC Financial's downside and upside margins for the forecasting period are 210.63 and 213.92, respectively. We have considered PNC Financial's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of PNC Financial stock data series using in forecasting. Note that when a statistical model is used to represent PNC Financial stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 120.9336 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 3.3615 |
| MAPE | Mean absolute percentage error | 0.0176 |
| SAE | Sum of the absolute errors | 205.0491 |
Predictive Modules for PNC Financial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PNC Financial Services. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Other Forecasting Options for PNC Financial
For every potential investor in PNC, whether a beginner or expert, PNC Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. PNC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in PNC. Basic forecasting techniques help filter out the noise by identifying PNC Financial's price trends.PNC Financial Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with PNC Financial stock to make a market-neutral strategy. Peer analysis of PNC Financial could also be used in its relative valuation, which is a method of valuing PNC Financial by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
PNC Financial Services Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of PNC Financial's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of PNC Financial's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
PNC Financial Market Strength Events
Market strength indicators help investors to evaluate how PNC Financial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading PNC Financial shares will generate the highest return on investment. By undertsting and applying PNC Financial stock market strength indicators, traders can identify PNC Financial Services entry and exit signals to maximize returns.
PNC Financial Risk Indicators
The analysis of PNC Financial's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in PNC Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pnc stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.13 | |||
| Semi Deviation | 0.8802 | |||
| Standard Deviation | 1.63 | |||
| Variance | 2.67 | |||
| Downside Variance | 1.2 | |||
| Semi Variance | 0.7747 | |||
| Expected Short fall | (1.40) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Also Currently Popular
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 PNC Financial Services offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of PNC Financial'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 Pnc Financial Services Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Pnc Financial Services Stock:Check out Historical Fundamental Analysis of PNC Financial to cross-verify your projections. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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 PNC Financial. If investors know PNC 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 PNC Financial 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 (0.03) | Dividend Share 6.25 | Earnings Share 11.83 | Revenue Per Share 51.178 | Quarterly Revenue Growth 0.017 |
The market value of PNC Financial Services is measured differently than its book value, which is the value of PNC that is recorded on the company's balance sheet. Investors also form their own opinion of PNC Financial's value that differs from its market value or its book value, called intrinsic value, which is PNC Financial'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 PNC Financial's market value can be influenced by many factors that don't directly affect PNC Financial'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 PNC Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if PNC Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, PNC Financial'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.