P A Stock Market Value

PTSI
 Stock
  

USD 37.12  0.64  1.75%   

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


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
0.62
Market Capitalization
826.6 M
Quarterly Revenue Growth YOY
0.47
Return On Assets
0.13
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
06/15/2022
No Change 0.00  0.0 
In 2 months and 2 days
08/14/2022
0.00
If you would invest  0.00  in P A on June 15, 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 60 days. P A is related to or competes with Arcbest Corp, and Velodyne Lidar. 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
32.9936.8340.67
Details
Intrinsic
Valuation
LowReal ValueHigh
33.4147.8851.72
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 appears to be very steady, given 3 months investment horizon. P A M retains Efficiency (Sharpe Ratio) of 0.13, which implies the company had 0.13% of return per unit of risk over the last 3 months. Our approach into forecasting the volatility of a stock is to use all available market data together with stock-specific technical indicators that cannot be diversified away. By reviewing P A M technical indicators you can at this moment evaluate if the expected return of 0.51% is justified by implied risk. Please evaluate P A's semi deviation of 3.32, and Market Risk Adjusted Performance of 0.1924 to confirm if our risk estimates are consistent with your expectations.
On a scale of 0 to 100, P A holds a performance score of 10. The firm owns a Beta (Systematic Risk) of 2.2313, 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. Although it is vital to follow P A M existing price patterns, it is good to be conservative about what you can do with the information regarding equity price patterns. The approach into forecasting future performance of any stock is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. We have found twenty-eight technical indicators for P A, which you can use to evaluate the performance of the entity. Please employ P A M maximum drawdown, and the relationship between the information ratio and expected short fall to make a quick decision on whether P A M current price history will revert.

Auto-correlation

    
  0.25  

Poor predictability

P A M has poor predictability. Overlapping area represents the amount of predictability between P A time series from 15th of June 2022 to 15th of July 2022 and 15th of July 2022 to 14th of August 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 0.25 indicates that over 25.0% of current P A price fluctuation can be explain by its past prices.
Correlation Coefficient0.25
Spearman Rank Test0.34
Residual Average0.0
Price Variance6.86

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  

Be your own money manager

Our tools can tell you how much better you can do entering a position in P A without increasing your portfolio risk or giving up expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate.risk-adjusted returns of your individual positions relative to your overall portfolio.

Did you try this?

Run Fundamental Analysis Now

   

Fundamental Analysis

View fundamental data based on most recent published financial statements
All  Next Launch Module

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 Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.

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.
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Go
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Go
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Go
Watchlist Optimization
Optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm
Go
Price Transformation
Use Price Transformation models to analyze depth of different equity instruments across global markets
Go
Probability Of Bankruptcy
Get analysis of equity chance of financial distress in the next 2 years
Go
Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Go
Transaction History
View history of all your transactions and understand their impact on performance
Go
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Go
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios
Go
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Go
Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments
Go
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Go
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...