Pnc Financial Services Stock Market Value
PNC Stock | USD 161.60 1.63 1.02% |
Symbol | PNC |
PNC Financial Services Price To Book Ratio
Is PNC Financial's industry 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 (0.46) | Dividend Share 6.1 | Earnings Share 12.8 | Revenue Per Share 51.741 | Quarterly Revenue Growth (0.04) |
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.
PNC 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 PNC 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 PNC Financial.
04/09/2022 |
| 03/29/2024 |
If you would invest 0.00 in PNC Financial on April 9, 2022 and sell it all today you would earn a total of 0.00 from holding PNC Financial Services or generate 0.0% return on investment in PNC Financial over 720 days. PNC Financial is related to or competes with Pool, SunOpta, Haverty Furniture, Haier Smart, Olympic Steel, and Hooker Furniture. The PNC Financial Services Group, Inc. operates as a diversified financial services company in the United States More
PNC 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 PNC 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 PNC Financial Services upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.66 | |||
Information Ratio | (0.01) | |||
Maximum Drawdown | 7.07 | |||
Value At Risk | (2.77) | |||
Potential Upside | 2.6 |
PNC Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PNC Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PNC Financial's standard deviation. In reality, there are many statistical measures that can use PNC Financial historical prices to predict the future PNC Financial's volatility.Risk Adjusted Performance | 0.0477 | |||
Jensen Alpha | (0.03) | |||
Total Risk Alpha | (0.24) | |||
Sortino Ratio | (0.01) | |||
Treynor Ratio | 0.095 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of PNC Financial's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
PNC Financial Services Backtested Returns
We consider PNC Financial very steady. PNC Financial Services retains Efficiency (Sharpe Ratio) of 0.051, which implies the firm had a 0.051% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for PNC Financial, which you can use to evaluate the volatility of the company. Please check PNC Financial's semi deviation of 1.54, and Market Risk Adjusted Performance of 0.105 to confirm if the risk estimate we provide is consistent with the expected return of 0.0821%. PNC Financial has a performance score of 3 on a scale of 0 to 100. The company owns a Beta (Systematic Risk) of 1.11, which implies a somewhat significant risk relative to the market. PNC Financial returns are very sensitive to returns on the market. As the market goes up or down, PNC Financial is expected to follow. PNC Financial Services currently owns a risk of 1.61%. Please check PNC Financial Services information ratio, downside variance, day median price, as well as the relationship between the treynor ratio and kurtosis , to decide if PNC Financial Services will be following its current price history.
Auto-correlation | -0.37 |
Poor reverse predictability
PNC Financial Services has poor reverse predictability. Overlapping area represents the amount of predictability between PNC Financial time series from 9th of April 2022 to 4th of April 2023 and 4th of April 2023 to 29th of March 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 PNC Financial Services price movement. The serial correlation of -0.37 indicates that just about 37.0% of current PNC Financial price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.37 | |
Spearman Rank Test | -0.26 | |
Residual Average | 0.0 | |
Price Variance | 217.07 |
PNC Financial Services lagged returns against current returns
Autocorrelation, which is PNC Financial 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 PNC Financial's stock expected returns. We can calculate the autocorrelation of PNC Financial returns to help us make a trade decision. For example, suppose you find that PNC Financial 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 |
PNC Financial 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 PNC Financial stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PNC Financial stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PNC Financial stock over time.
Current vs Lagged Prices |
Timeline |
PNC Financial Lagged Returns
When evaluating PNC Financial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PNC Financial stock have on its future price. PNC Financial 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, PNC Financial autocorrelation shows the relationship between PNC Financial stock current value and its past values and can show if there is a momentum factor associated with investing in PNC Financial Services.
Regressed Prices |
Timeline |
PNC Financial Investors Sentiment
The influence of PNC Financial's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in PNC. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to PNC Financial's public news can be used to forecast risks associated with an investment in PNC. The trend in average sentiment can be used to explain how an investor holding PNC can time the market purely based on public headlines and social activities around PNC Financial Services. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
PNC Financial's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for PNC Financial's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average PNC Financial's news discussions. The higher the estimated score, the more favorable is the investor's outlook on PNC Financial.
PNC Financial Implied Volatility | 24.19 |
PNC Financial's implied volatility exposes the market's sentiment of PNC Financial Services stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if PNC Financial's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that PNC Financial stock will not fluctuate a lot when PNC Financial's options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards PNC Financial in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, PNC Financial's short interest history, or implied volatility extrapolated from PNC Financial options trading.
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Check out PNC Financial Correlation, PNC Financial Volatility and PNC Financial Alpha and Beta module to complement your research on PNC Financial. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Complementary Tools for PNC Stock analysis
When running PNC Financial's price analysis, check to measure PNC Financial's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy PNC Financial is operating at the current time. Most of PNC Financial's value examination focuses on studying past and present price action to predict the probability of PNC Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PNC Financial's price. Additionally, you may evaluate how the addition of PNC Financial to your portfolios can decrease your overall portfolio volatility.
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PNC 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.