Jindal Poly Stock Forecast - Triple Exponential Smoothing

JPOLYINVST   920.05  43.10  4.47%   
The Triple Exponential Smoothing forecasted value of Jindal Poly Investment on the next trading day is expected to be 921.66 with a mean absolute deviation of 17.85 and the sum of the absolute errors of 1,071. Jindal Stock Forecast is based on your current time horizon. Although Jindal Poly's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Jindal Poly's systematic risk associated with finding meaningful patterns of Jindal Poly fundamentals over time.
  
At this time, Jindal Poly's Other Current Liabilities is very stable compared to the past year. As of the 29th of November 2024, Total Stockholder Equity is likely to grow to about 27.9 B, while Total Assets are likely to drop about 22.7 B.
Triple exponential smoothing for Jindal Poly - 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 Jindal Poly 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 Jindal Poly price movement. However, neither of these exponential smoothing models address any seasonality of Jindal Poly Investment.

Jindal Poly Triple Exponential Smoothing Price Forecast For the 30th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Jindal Poly Investment on the next trading day is expected to be 921.66 with a mean absolute deviation of 17.85, mean absolute percentage error of 879.90, and the sum of the absolute errors of 1,071.
Please note that although there have been many attempts to predict Jindal 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 Jindal Poly's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Jindal Poly Stock Forecast Pattern

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Jindal Poly Forecasted Value

In the context of forecasting Jindal Poly'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. Jindal Poly's downside and upside margins for the forecasting period are 918.07 and 925.25, respectively. We have considered Jindal Poly'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
920.05
918.07
Downside
921.66
Expected Value
925.25
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 Jindal Poly stock data series using in forecasting. Note that when a statistical model is used to represent Jindal Poly 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 -4.172
MADMean absolute deviation17.8481
MAPEMean absolute percentage error0.0212
SAESum of the absolute errors1070.8865
As with simple exponential smoothing, in triple exponential smoothing models past Jindal Poly 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 Jindal Poly Investment observations.

Predictive Modules for Jindal Poly

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Jindal Poly Investment. 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 Jindal Poly'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
916.46920.05923.64
Details
Intrinsic
Valuation
LowRealHigh
750.07753.661,012
Details
Bollinger
Band Projection (param)
LowMiddleHigh
620.98842.021,063
Details

Other Forecasting Options for Jindal Poly

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

Jindal Poly 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 Jindal Poly stock to make a market-neutral strategy. Peer analysis of Jindal Poly could also be used in its relative valuation, which is a method of valuing Jindal Poly by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Jindal Poly Investment 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 Jindal Poly'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 Jindal Poly's current price.

Jindal Poly Market Strength Events

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

Jindal Poly Risk Indicators

The analysis of Jindal Poly'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 Jindal Poly's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting jindal 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.

Other Information on Investing in Jindal Stock

Jindal Poly financial ratios help investors to determine whether Jindal Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Jindal with respect to the benefits of owning Jindal Poly security.