Public Service (UK) Market Value
| 0KS2 Stock | 84.35 0.46 0.55% |
| 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.
| 01/02/2023 |
| 12/22/2024 |
If you would invest 0.00 in Public Service on January 2, 2023 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 Uniper SE, Mulberry Group, London Security, Triad Group, SURETRACK MON, Ikigai Ventures, and Heavitree Brewery. Public Service is entity of United Kingdom 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 | 1.69 | |||
| Information Ratio | 0.0077 | |||
| Maximum Drawdown | 10.71 | |||
| Value At Risk | (1.98) | |||
| Potential Upside | 2.14 |
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 | 0.028 | |||
| Jensen Alpha | 0.0233 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0067 | |||
| Treynor Ratio | 0.0723 |
Public Service Enterprise Backtested Returns
Public Service Enterprise maintains Sharpe Ratio (i.e., Efficiency) of -0.0323, which implies the firm had a -0.0323% return per unit of risk over the last 3 months. Public Service Enterprise exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Public Service's Risk Adjusted Performance of 0.028, coefficient of variation of 3397.33, and Semi Deviation of 1.65 to confirm the risk estimate we provide. The company holds a Beta of 0.47, 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. At this point, Public Service Enterprise has a negative expected return of -0.0448%. Please make sure to check Public Service's semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation , to decide if Public Service Enterprise performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.33 |
Below average predictability
Public Service Enterprise has below average predictability. Overlapping area represents the amount of predictability between Public Service time series from 2nd of January 2023 to 28th of December 2023 and 28th of December 2023 to 22nd 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 0.33 indicates that nearly 33.0% of current Public Service price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.33 | |
| Spearman Rank Test | 0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 126.12 |
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 |
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.Additional Tools for Public Stock Analysis
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.