Public Service Enterprise Stock Market Value
| PEG Stock | USD 73.49 0.52 0.70% |
| Symbol | Public |
Public Service Enterprise Price To Book Ratio
Is Public Service'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 Public Service. If investors know Public 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 Public Service 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 (0.59) | Dividend Share 2.31 | Earnings Share 3.61 | Revenue Per Share 20.546 | Quarterly Revenue Growth (0.27) |
The market value of Public Service Enterprise is measured differently than its book value, which is the value of Public that is recorded on the company's balance sheet. Investors also form their own opinion of Public Service's value that differs from its market value or its book value, called intrinsic value, which is Public Service'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 Public Service's market value can be influenced by many factors that don't directly affect Public Service'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 Public Service's value and its price as these two are different measures arrived at by different means. Investors typically determine if Public Service is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Public Service'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.
Public Service '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 Public Service'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 Public Service.
| 04/13/2024 |
| 05/13/2024 |
If you would invest 0.00 in Public Service on April 13, 2024 and sell it all today you would earn a total of 0.00 from holding Public Service Enterprise or generate 0.0% return on investment in Public Service over 30 days. Public Service is related to or competes with CenterPoint Energy, FirstEnergy, Pinnacle West, Edison International, Alliant Energy, CMS Energy, and Entergy. Public Service Enterprise Group Incorporated, through its subsidiaries, operates as an energy company primarily in the N... More
Public Service 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 Public Service'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 Public Service Enterprise upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9539 | |||
| Information Ratio | 0.2772 | |||
| Maximum Drawdown | 4.78 | |||
| Value At Risk | (1.41) | |||
| Potential Upside | 1.74 |
Public Service Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Public Service's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Public Service's standard deviation. In reality, there are many statistical measures that can use Public Service historical prices to predict the future Public Service's volatility.| Risk Adjusted Performance | 0.2259 | |||
| Jensen Alpha | 0.317 | |||
| Total Risk Alpha | 0.2332 | |||
| Sortino Ratio | 0.2932 | |||
| Treynor Ratio | 0.7186 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Public Service'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.
Public Service Enterprise Backtested Returns
Public Service appears to be very steady, given 3 months investment horizon. Public Service Enterprise maintains Sharpe Ratio (i.e., Efficiency) of 0.39, which implies the firm had a 0.39% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Public Service Enterprise, which you can use to evaluate the volatility of the company. Please evaluate Public Service's Coefficient Of Variation of 277.98, semi deviation of 0.5262, and Risk Adjusted Performance of 0.2259 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Public Service holds a performance score of 30. The company holds a Beta of 0.49, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Public Service's returns are expected to increase less than the market. However, during the bear market, the loss of holding Public Service is expected to be smaller as well. Please check Public Service's information ratio, downside variance, day median price, as well as the relationship between the treynor ratio and kurtosis , to make a quick decision on whether Public Service's historical price patterns will revert.
Auto-correlation | 0.95 |
Excellent predictability
Public Service Enterprise has excellent predictability. Overlapping area represents the amount of predictability between Public Service time series from 13th of April 2024 to 28th of April 2024 and 28th of April 2024 to 13th of May 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 Public Service Enterprise price movement. The serial correlation of 0.95 indicates that approximately 95.0% of current Public Service price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.95 | |
| Spearman Rank Test | 0.93 | |
| Residual Average | 0.0 | |
| Price Variance | 3.27 |
Public Service Enterprise lagged returns against current returns
Autocorrelation, which is Public Service 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 Public Service's stock expected returns. We can calculate the autocorrelation of Public Service returns to help us make a trade decision. For example, suppose you find that Public Service 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 |
Public Service 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 Public Service stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Public Service stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Public Service stock over time.
Current vs Lagged Prices |
| Timeline |
Public Service Lagged Returns
When evaluating Public Service's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Public Service stock have on its future price. Public Service 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, Public Service autocorrelation shows the relationship between Public Service stock current value and its past values and can show if there is a momentum factor associated with investing in Public Service Enterprise.
Regressed Prices |
| Timeline |
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Check out Public Service Correlation, Public Service Volatility and Public Service Alpha and Beta module to complement your research on Public Service. Note that the Public Service Enterprise information on this page should be used as a complementary analysis to other Public Service's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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When running Public Service's price analysis, check to measure Public Service'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 Public Service is operating at the current time. Most of Public Service's value examination focuses on studying past and present price action to predict the probability of Public Service's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Public Service's price. Additionally, you may evaluate how the addition of Public Service to your portfolios can decrease your overall portfolio volatility.
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Public Service 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.