Shankara Building Stock Forecast - Double Exponential Smoothing
| SHANKARA | 665.35 3.05 0.46% |
The Double Exponential Smoothing forecasted value of Shankara Building Products on the next trading day is expected to be 671.70 with a mean absolute deviation of 10.87 and the sum of the absolute errors of 641.59. Shankara Stock Forecast is based on your current time horizon. Although Shankara Building's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Shankara Building's systematic risk associated with finding meaningful patterns of Shankara Building fundamentals over time.
Shankara |
Shankara Building Double Exponential Smoothing Price Forecast For the 4th of December
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Shankara Building Products on the next trading day is expected to be 671.70 with a mean absolute deviation of 10.87, mean absolute percentage error of 236.44, and the sum of the absolute errors of 641.59.Please note that although there have been many attempts to predict Shankara 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 Shankara Building's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Shankara Building Stock Forecast Pattern
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Shankara Building Forecasted Value
In the context of forecasting Shankara Building'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. Shankara Building's downside and upside margins for the forecasting period are 668.84 and 674.57, respectively. We have considered Shankara Building'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Shankara Building stock data series using in forecasting. Note that when a statistical model is used to represent Shankara Building 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.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | -2.9992 |
| MAD | Mean absolute deviation | 10.8745 |
| MAPE | Mean absolute percentage error | 0.0201 |
| SAE | Sum of the absolute errors | 641.5931 |
Predictive Modules for Shankara Building
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Shankara Building. 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.Other Forecasting Options for Shankara Building
For every potential investor in Shankara, whether a beginner or expert, Shankara Building's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Shankara Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Shankara. Basic forecasting techniques help filter out the noise by identifying Shankara Building's price trends.Shankara Building 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 Shankara Building stock to make a market-neutral strategy. Peer analysis of Shankara Building could also be used in its relative valuation, which is a method of valuing Shankara Building by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Shankara Building 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 Shankara Building'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 Shankara Building's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Shankara Building Market Strength Events
Market strength indicators help investors to evaluate how Shankara Building stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Shankara Building shares will generate the highest return on investment. By undertsting and applying Shankara Building stock market strength indicators, traders can identify Shankara Building Products entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0153 | |||
| Daily Balance Of Power | (0.30) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 665.88 | |||
| Day Typical Price | 665.7 | |||
| Market Facilitation Index | 10.25 | |||
| Price Action Indicator | (2.05) | |||
| Period Momentum Indicator | (3.05) |
Shankara Building Risk Indicators
The analysis of Shankara Building'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 Shankara Building's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting shankara 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.
| Mean Deviation | 1.9 | |||
| Semi Deviation | 1.93 | |||
| Standard Deviation | 2.8 | |||
| Variance | 7.86 | |||
| Downside Variance | 4.31 | |||
| Semi Variance | 3.74 | |||
| Expected Short fall | (2.36) |
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 Shankara Stock Analysis
When running Shankara Building's price analysis, check to measure Shankara Building'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 Shankara Building is operating at the current time. Most of Shankara Building's value examination focuses on studying past and present price action to predict the probability of Shankara Building's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Shankara Building's price. Additionally, you may evaluate how the addition of Shankara Building to your portfolios can decrease your overall portfolio volatility.