CyberArk Software Stock Forecast - Naive Prediction

CYBR Stock  USD 329.15  12.25  3.87%   
The Naive Prediction forecasted value of CyberArk Software on the next trading day is expected to be 340.90 with a mean absolute deviation of 4.96 and the sum of the absolute errors of 302.37. CyberArk Stock Forecast is based on your current time horizon. Although CyberArk Software's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of CyberArk Software's systematic risk associated with finding meaningful patterns of CyberArk Software fundamentals over time.
  
At this time, CyberArk Software's Receivables Turnover is relatively stable compared to the past year. As of 11/22/2024, Asset Turnover is likely to grow to 0.52, while Inventory Turnover is likely to drop 2.18. . As of 11/22/2024, Common Stock Shares Outstanding is likely to drop to about 39.1 M. In addition to that, Net Loss is likely to grow to about (111.5 M).

CyberArk Software Cash Forecast

Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the CyberArk Software's financial statements to estimate their effects on upcoming price movements.
 
Cash  
First Reported
2012-12-31
Previous Quarter
641 M
Current Value
1.2 B
Quarterly Volatility
234.1 M
 
Yuan Drop
 
Covid
A naive forecasting model for CyberArk Software is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of CyberArk Software value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

CyberArk Software Naive Prediction Price Forecast For the 23rd of November

Given 90 days horizon, the Naive Prediction forecasted value of CyberArk Software on the next trading day is expected to be 340.90 with a mean absolute deviation of 4.96, mean absolute percentage error of 35.35, and the sum of the absolute errors of 302.37.
Please note that although there have been many attempts to predict CyberArk 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 CyberArk Software's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

CyberArk Software Stock Forecast Pattern

Backtest CyberArk SoftwareCyberArk Software Price PredictionBuy or Sell Advice 

CyberArk Software Forecasted Value

In the context of forecasting CyberArk Software'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. CyberArk Software's downside and upside margins for the forecasting period are 339.05 and 342.74, respectively. We have considered CyberArk Software'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
329.15
339.05
Downside
340.90
Expected Value
342.74
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of CyberArk Software stock data series using in forecasting. Note that when a statistical model is used to represent CyberArk Software 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 Criteria121.6758
BiasArithmetic mean of the errors None
MADMean absolute deviation4.9569
MAPEMean absolute percentage error0.0174
SAESum of the absolute errors302.3693
This model is not at all useful as a medium-long range forecasting tool of CyberArk Software. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict CyberArk Software. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for CyberArk Software

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CyberArk Software. 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.
Hype
Prediction
LowEstimatedHigh
327.31329.15330.99
Details
Intrinsic
Valuation
LowRealHigh
296.24388.40390.24
Details
Bollinger
Band Projection (param)
LowMiddleHigh
266.81296.25325.70
Details
34 Analysts
Consensus
LowTargetHigh
173.25190.39211.33
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as CyberArk Software. Your research has to be compared to or analyzed against CyberArk Software's peers to derive any actionable benefits. When done correctly, CyberArk Software's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in CyberArk Software.

Other Forecasting Options for CyberArk Software

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

View CyberArk Software Related Equities

 Risk & Return  Correlation

CyberArk Software 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 CyberArk Software'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 CyberArk Software's current price.

CyberArk Software Market Strength Events

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

CyberArk Software Risk Indicators

The analysis of CyberArk Software'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 CyberArk Software's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cyberark 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.

Pair Trading with CyberArk Software

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 CyberArk Software 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 CyberArk Software will appreciate offsetting losses from the drop in the long position's value.

Moving together with CyberArk Stock

  0.79S SentinelOnePairCorr

Moving against CyberArk Stock

  0.74VHAI VHAIPairCorr
  0.59VRAR Glimpse GroupPairCorr
  0.49MQ MarqetaPairCorr
  0.34FAAS DigiAsia Corp Symbol ChangePairCorr
The ability to find closely correlated positions to CyberArk Software could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CyberArk Software 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 CyberArk Software - 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 CyberArk Software to buy it.
The correlation of CyberArk Software 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 CyberArk Software moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CyberArk Software 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 CyberArk Software 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.
Pair CorrelationCorrelation Matching

Additional Tools for CyberArk Stock Analysis

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