Persistent Systems Stock Forecast - Triple Exponential Smoothing

PERSISTENT   5,906  73.65  1.26%   
The Triple Exponential Smoothing forecasted value of Persistent Systems Limited on the next trading day is expected to be 5,912 with a mean absolute deviation of 84.09 and the sum of the absolute errors of 4,961. Persistent Stock Forecast is based on your current time horizon.
  
At this time, Persistent Systems' Liabilities And Stockholders Equity is comparatively stable compared to the past year. Non Current Liabilities Total is likely to gain to about 2.4 B in 2024, whereas Cash And Short Term Investments are likely to drop slightly above 6.4 B in 2024.
Triple exponential smoothing for Persistent Systems - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Persistent Systems prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Persistent Systems price movement. However, neither of these exponential smoothing models address any seasonality of Persistent Systems.

Persistent Systems Triple Exponential Smoothing Price Forecast For the 30th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Persistent Systems Limited on the next trading day is expected to be 5,912 with a mean absolute deviation of 84.09, mean absolute percentage error of 15,692, and the sum of the absolute errors of 4,961.
Please note that although there have been many attempts to predict Persistent 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 Persistent Systems' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Persistent Systems Stock Forecast Pattern

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Persistent Systems Forecasted Value

In the context of forecasting Persistent Systems' 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. Persistent Systems' downside and upside margins for the forecasting period are 5,910 and 5,914, respectively. We have considered Persistent Systems' 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
5,906
5,912
Expected Value
5,914
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Persistent Systems stock data series using in forecasting. Note that when a statistical model is used to represent Persistent Systems 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 CriteriaHuge
BiasArithmetic mean of the errors -21.3425
MADMean absolute deviation84.0899
MAPEMean absolute percentage error0.0153
SAESum of the absolute errors4961.3033
As with simple exponential smoothing, in triple exponential smoothing models past Persistent Systems observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Persistent Systems Limited observations.

Predictive Modules for Persistent Systems

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Persistent Systems. 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
5,8045,8066,403
Details
Intrinsic
Valuation
LowRealHigh
4,7694,7716,403
Details
Earnings
Estimates (0)
LowProjected EPSHigh
21.6022.1823.00
Details

Other Forecasting Options for Persistent Systems

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

Persistent Systems Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Persistent Systems stock to make a market-neutral strategy. Peer analysis of Persistent Systems could also be used in its relative valuation, which is a method of valuing Persistent Systems by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Persistent Systems 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 Persistent Systems' 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 Persistent Systems' current price.

Persistent Systems Market Strength Events

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

Persistent Systems Risk Indicators

The analysis of Persistent Systems' 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 Persistent Systems' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting persistent 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Persistent Stock Analysis

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