Paylocity Holdng Stock Forecast - Simple Regression

PCTY Stock  USD 196.20  1.80  0.93%   
The Simple Regression forecasted value of Paylocity Holdng on the next trading day is expected to be 215.84 with a mean absolute deviation of 7.41 and the sum of the absolute errors of 459.60. Paylocity Stock Forecast is based on your current time horizon.
  
Fixed Asset Turnover is likely to rise to 15.59 in 2024, whereas Inventory Turnover is likely to drop 0.12 in 2024. . Net Income Applicable To Common Shares is likely to rise to about 170 M in 2024, whereas Common Stock Shares Outstanding is likely to drop slightly above 56.3 M in 2024.
Simple Regression model is a single variable regression model that attempts to put a straight line through Paylocity Holdng price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Paylocity Holdng Simple Regression Price Forecast For the 21st of December

Given 90 days horizon, the Simple Regression forecasted value of Paylocity Holdng on the next trading day is expected to be 215.84 with a mean absolute deviation of 7.41, mean absolute percentage error of 93.22, and the sum of the absolute errors of 459.60.
Please note that although there have been many attempts to predict Paylocity Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Paylocity Holdng's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Paylocity Holdng Stock Forecast Pattern

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Paylocity Holdng Forecasted Value

In the context of forecasting Paylocity Holdng's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Paylocity Holdng's downside and upside margins for the forecasting period are 213.84 and 217.85, respectively. We have considered Paylocity Holdng's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
196.20
213.84
Downside
215.84
Expected Value
217.85
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Paylocity Holdng stock data series using in forecasting. Note that when a statistical model is used to represent Paylocity Holdng stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria124.4834
BiasArithmetic mean of the errors None
MADMean absolute deviation7.4128
MAPEMean absolute percentage error0.0381
SAESum of the absolute errors459.5964
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Paylocity Holdng historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Paylocity Holdng

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Paylocity Holdng. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Paylocity Holdng'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.
Hype
Prediction
LowEstimatedHigh
194.64196.64198.64
Details
Intrinsic
Valuation
LowRealHigh
176.58241.95243.95
Details
20 Analysts
Consensus
LowTargetHigh
234.17257.33285.64
Details
Earnings
Estimates (0)
LowProjected EPSHigh
1.331.421.60
Details

Other Forecasting Options for Paylocity Holdng

For every potential investor in Paylocity, whether a beginner or expert, Paylocity Holdng's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Paylocity Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Paylocity. Basic forecasting techniques help filter out the noise by identifying Paylocity Holdng's price trends.

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 Risk & Return  Correlation

Paylocity Holdng Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Paylocity Holdng's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Paylocity Holdng's current price.

Paylocity Holdng Market Strength Events

Market strength indicators help investors to evaluate how Paylocity Holdng stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Paylocity Holdng shares will generate the highest return on investment. By undertsting and applying Paylocity Holdng stock market strength indicators, traders can identify Paylocity Holdng entry and exit signals to maximize returns.

Paylocity Holdng Risk Indicators

The analysis of Paylocity Holdng's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Paylocity Holdng's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting paylocity stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

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Additional Tools for Paylocity Stock Analysis

When running Paylocity Holdng's price analysis, check to measure Paylocity Holdng'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 Paylocity Holdng is operating at the current time. Most of Paylocity Holdng's value examination focuses on studying past and present price action to predict the probability of Paylocity Holdng's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Paylocity Holdng's price. Additionally, you may evaluate how the addition of Paylocity Holdng to your portfolios can decrease your overall portfolio volatility.