Public Service Stock Market Value
| PNMXO Stock | USD 75.00 0.86 1.13% |
| 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 pink sheet 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.
| 12/10/2024 |
| 01/09/2025 |
If you would invest 0.00 in Public Service on December 10, 2024 and sell it all today you would earn a total of 0.00 from holding Public Service or generate 0.0% return on investment in Public Service over 30 days. Public Service is related to or competes with WK Kellogg, Copperbank Resources, Astral Foods, Ingredion Incorporated, Vital Farms, Tyson Foods, and Bridgford Foods. 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 pink sheet 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 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 7.16 | |||
| Value At Risk | (2.10) | |||
| Potential Upside | 1.55 |
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 | (0.12) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | (2.48) |
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 Backtested Returns
Public Service maintains Sharpe Ratio (i.e., Efficiency) of -0.16, which implies the firm had a -0.16% return per unit of risk over the last 3 months. Public Service exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Public Service's Risk Adjusted Performance of (0.12), variance of 1.24, and Coefficient Of Variation of (654.51) to confirm the risk estimate we provide. The company holds a Beta of 0.0725, which implies not very significant fluctuations relative to the market. 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 has a negative expected return of -0.18%. Please make sure to check Public Service's mean deviation, treynor ratio, as well as the relationship between the Treynor Ratio and rate of daily change , to decide if Public Service performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.54 |
Modest predictability
Public Service has modest predictability. Overlapping area represents the amount of predictability between Public Service time series from 10th of December 2024 to 25th of December 2024 and 25th of December 2024 to 9th of January 2025. 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 price movement. The serial correlation of 0.54 indicates that about 54.0% of current Public Service price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.54 | |
| Spearman Rank Test | 0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.39 |
Public Service lagged returns against current returns
Autocorrelation, which is Public Service pink sheet'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 pink sheet 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 pink sheet 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 pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Public Service pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Public Service pink sheet 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 pink sheet 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 pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Public Service.
Regressed Prices |
| Timeline |
Pair Trading with Public Service
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Public Service position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Public Service will appreciate offsetting losses from the drop in the long position's value.Moving together with Public Pink Sheet
Moving against Public Pink Sheet
| 0.84 | AMZN | Amazon Inc Aggressive Push | PairCorr |
| 0.8 | INPAP | International Paper | PairCorr |
| 0.73 | WMT | Walmart Aggressive Push | PairCorr |
| 0.56 | BANGN | Emera Maine PFD | PairCorr |
The ability to find closely correlated positions to Public Service could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Public Service when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Public Service - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Public Service to buy it.
The correlation of Public Service is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Public Service moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Public Service moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Public Service can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Public Pink Sheet
Public Service financial ratios help investors to determine whether Public Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Public with respect to the benefits of owning Public Service security.