Public Service (Germany) Market Value
| PEG Stock | EUR 12.70 0.20 1.55% |
| Symbol | Public |
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.
| 12/12/2022 |
| 12/01/2024 |
If you would invest 0.00 in Public Service on December 12, 2022 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 720 days. Public Service is related to or competes with Packagingof America, Smurfit Kappa, Superior Plus, Origin Agritech, Identiv, INTUITIVE SURGICAL, and Intel. Pactiv Evergreen Inc. manufactures and distributes fresh foodservice and food merchandising products, and fresh beverage... 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 | 2.0 | |||
| Information Ratio | 0.0859 | |||
| Maximum Drawdown | 13.36 | |||
| Value At Risk | (2.80) | |||
| Potential Upside | 4.57 |
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 | 0.1159 | |||
| Jensen Alpha | 0.2348 | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | 0.1043 | |||
| Treynor Ratio | 0.4229 |
Public Service Enterprise Backtested Returns
Public Service appears to be not too volatile, given 3 months investment horizon. Public Service Enterprise maintains Sharpe Ratio (i.e., Efficiency) of 0.13, which implies the firm had a 0.13% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Public Service Enterprise, which you can use to evaluate the volatility of the company. Please evaluate Public Service's Risk Adjusted Performance of 0.1159, semi deviation of 1.51, and Coefficient Of Variation of 701.06 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 9. The company holds a Beta of 0.79, 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 coefficient of variation, jensen alpha, and the relationship between the downside deviation and information ratio , to make a quick decision on whether Public Service's historical price patterns will revert.
Auto-correlation | 0.30 |
Below average predictability
Public Service Enterprise has below average predictability. Overlapping area represents the amount of predictability between Public Service time series from 12th of December 2022 to 7th of December 2023 and 7th of December 2023 to 1st of December 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 0.3 indicates that nearly 30.0% of current Public Service price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.3 | |
| Spearman Rank Test | 0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 1.58 |
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 |
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Public Stock
When determining whether Public Service Enterprise is a strong investment it is important to analyze Public Service'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 Public Service's future performance. For an informed investment choice regarding Public Stock, refer to the following important reports:Check out Public Service Correlation, Public Service Volatility and Public Service Alpha and Beta module to complement your research on Public Service. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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.