P A Stock Market Value

PTSI -  USA Stock  

USD 29.55  3.56  13.70%

P A's market value is the price at which a share of P A stock trades on a public exchange. It measures the collective expectations of P A M investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of P A M and determine expected loss or profit from investing in P A over a given investment horizon. Please check P A Hype Analysis, P A Correlation, P A Valuation, P A Volatility, as well as analyze P A Alpha and Beta and P A Performance.
Symbol
Backtest


Is P A'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 P A. If investors know P A 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 P A 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 YOY
1.04
Market Capitalization
658 M
Quarterly Revenue Growth YOY
0.47
Return On Assets
0.12
Return On Equity
0.44
The market value of P A M is measured differently than its book value, which is the value of P A that is recorded on the company's balance sheet. Investors also form their own opinion of P A's value that differs from its market value or its book value, called intrinsic value, which is P A'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 P A's market value can be influenced by many factors that don't directly affect P A'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 P A's value and its price as these two are different measures arrived at by different means. Investors typically determine P A value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, P A'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.

P A '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 P A'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 P A.
0.00
05/26/2022
No Change 0.00  0.0 
In 31 days
06/25/2022
0.00
If you would invest  0.00  in P A on May 26, 2022 and sell it all today you would earn a total of 0.00 from holding P A M or generate 0.0% return on investment in P A over 30 days. P A is related to or competes with Werner Enterprise, Vertex Energy, and Old Dominion. Transportation Services, Inc., through its subsidiaries, operates as a truckload transportation and logistics company in...More

P A 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 P A'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 P A M upside and downside potential and time the market with a certain degree of confidence.

P A Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for P A's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as P A's standard deviation. In reality, there are many statistical measures that can use P A historical prices to predict the future P A's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of P A'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. Please use the tools below to analyze the current value of P A in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
25.1129.7434.37
Details
Intrinsic
Valuation
LowReal ValueHigh
26.6042.5347.16
Details
1 Analysts
Consensus
LowTarget PriceHigh
85.0085.0085.00
Details
Earnings
Estimates (1)
LowProjected EPSHigh
6.206.206.20
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as P A. Your research has to be compared to or analyzed against P A's peers to derive any actionable benefits. When done correctly, P A's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in P A M.

P A M Backtested Returns

P A M retains Efficiency (Sharpe Ratio) of -0.0295, which implies the company had -0.0295% of return per unit of risk over the last 3 months. Macroaxis approach into forecasting the risk of any stock is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. P A exposes twenty-eight different technical indicators, which can help you to evaluate volatility that cannot be diversified away. Please be advised to check P A M market risk adjusted performance of (0.13) to confirm the risk estimate we provide.
The firm owns a Beta (Systematic Risk) of 1.9769, which implies a somewhat significant risk relative to the market. Let's try to break down what P A's beta means in this case. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, P A will likely underperform. Even though it is essential to pay attention to P A M existing price patterns, it is always good to be careful when utilizing equity price patterns. Our approach into forecasting any stock's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. P A exposes twenty-eight different technical indicators, which can help you to evaluate its performance. P A M has an expected return of -0.14%. Please be advised to check P A M maximum drawdown, and the relationship between the information ratio and expected short fall to decide if P A M performance from the past will be repeated sooner or later.

Auto-correlation

    
  -0.56  

Good reverse predictability

P A M has good reverse predictability. Overlapping area represents the amount of predictability between P A time series from 26th of May 2022 to 10th of June 2022 and 10th of June 2022 to 25th of June 2022. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of P A M price movement. The serial correlation of -0.56 indicates that roughly 56.0% of current P A price fluctuation can be explain by its past prices.
Correlation Coefficient-0.56
Spearman Rank Test0.05
Residual Average0.0
Price Variance1.8

P A M lagged returns against current returns

Autocorrelation, which is P A 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 P A's stock expected returns. We can calculate the autocorrelation of P A returns to help us make a trade decision. For example, suppose you find that P A stock 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 stock movement to match the lagging time series.
 Current and Lagged Values 
Share
      Timeline 

P A 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 P A stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if P A stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in P A stock over time.
 Current vs Lagged Prices 
Share
      Timeline 

P A Lagged Returns

When evaluating P A's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of P A stock have on its future price. P A 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, P A autocorrelation shows the relationship between P A stock current value and its past values and can show if there is a momentum factor associated with investing in P A M.
 Regressed Prices 
Share
      Timeline 

P A Investors Sentiment

The influence of P A'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 P A. 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 markets does not have a solid backing from leading economists and market statisticians.
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 P A 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, P A's short interest history, or implied volatility extrapolated from P A options trading.

Current Sentiment - PTSI

P A M Investor Sentiment

Most of Macroaxis users are at this time bullish on P A M. What is your perspective on investing in P A M? Are you bullish or bearish?
Bullish
Bearish
98% Bullish
2% Bearish

Currently Active Assets on Macroaxis

Please check P A Hype Analysis, P A Correlation, P A Valuation, P A Volatility, as well as analyze P A Alpha and Beta and P A Performance. Note that the P A M information on this page should be used as a complementary analysis to other P A'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 CEO Directory module to screen CEOs from public companies around the world.

Complementary Tools for P A Stock analysis

When running P A M price analysis, check to measure P A'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 P A is operating at the current time. Most of P A's value examination focuses on studying past and present price action to predict the probability of P A's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move P A's price. Additionally, you may evaluate how the addition of P A to your portfolios can decrease your overall portfolio volatility.
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P A 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.
A focus of P A technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of P A trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...