P A Stock Statistic Functions Beta

PTSI -  USA Stock  

USD 29.55  3.56  13.70%

P A statistic functions tool provides the execution environment for running the Beta function and other technical functions against P A. P A value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Beta function function is designed to identify and follow existing trends. P A statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

The output start index for this execution was thirty-six with a total number of output elements of ninety-one. The Beta measures systematic risk based on how returns on P A M correlated with the market. If Beta is less than 0 P A generally moves in the opposite direction as compared to the market. If P A Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one P A M is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of P A is generally in the same direction as the market. If Beta > 1 P A moves generally in the same direction as, but more than the movement of the benchmark.
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P A Technical Analysis Modules

Most technical analysis of P A help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for P A from various momentum indicators to cycle indicators. When you analyze P A charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About P A Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of P A M. We use our internally-developed statistical techniques to arrive at the intrinsic value of P A M based on widely used predictive technical indicators. In general, we focus on analyzing P A Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build P A's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of P A's intrinsic value. In addition to deriving basic predictive indicators for P A, we also check how macroeconomic factors affect P A price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2019 2020 2021 2022 (projected)
Long Term Debt to Equity1.31.520.80.77
Interest Coverage1.523.8912.2813.26
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
Naive
Forecast
LowNext ValueHigh
20.7125.3429.96
Details
1 Analysts
Consensus
LowTarget PriceHigh
85.0085.0085.00
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.

Align your values with your investing style

In addition to having P A in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Thematic Ideas
Explore Investing Ideas  

Trending Themes

If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.
Macroaxis Index
Invested few shares
Dividend Beast
Invested over 70 shares
Top FinTech
Invested over 60 shares
Social Domain
Invested over 70 shares
SRI Sustainable Growth
Invested few shares
Driverless Cars
Invested over 70 shares
Please check Your Equity Center. 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 Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.

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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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.