SBI Holdings Stock Forecast - Polynomial Regression
| ZOF Stock | 24.40 0.20 0.81% |
The Polynomial Regression forecasted value of SBI Holdings on the next trading day is expected to be 23.68 with a mean absolute deviation of 0.48 and the sum of the absolute errors of 29.66. SBI Stock Forecast is based on your current time horizon.
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SBI Holdings Polynomial Regression Price Forecast For the 10th of January
Given 90 days horizon, the Polynomial Regression forecasted value of SBI Holdings on the next trading day is expected to be 23.68 with a mean absolute deviation of 0.48, mean absolute percentage error of 0.33, and the sum of the absolute errors of 29.66.Please note that although there have been many attempts to predict SBI 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 SBI Holdings' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SBI Holdings Stock Forecast Pattern
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SBI Holdings Forecasted Value
In the context of forecasting SBI Holdings' 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. SBI Holdings' downside and upside margins for the forecasting period are 21.60 and 25.76, respectively. We have considered SBI Holdings' 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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of SBI Holdings stock data series using in forecasting. Note that when a statistical model is used to represent SBI Holdings 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 | 118.8353 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.4784 |
| MAPE | Mean absolute percentage error | 0.0214 |
| SAE | Sum of the absolute errors | 29.6621 |
Predictive Modules for SBI Holdings
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SBI Holdings. 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 SBI Holdings' 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.
Other Forecasting Options for SBI Holdings
For every potential investor in SBI, whether a beginner or expert, SBI Holdings' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SBI Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SBI. Basic forecasting techniques help filter out the noise by identifying SBI Holdings' price trends.SBI Holdings 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 SBI Holdings stock to make a market-neutral strategy. Peer analysis of SBI Holdings could also be used in its relative valuation, which is a method of valuing SBI Holdings by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SBI Holdings 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 SBI Holdings' 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 SBI Holdings' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
SBI Holdings Market Strength Events
Market strength indicators help investors to evaluate how SBI Holdings stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SBI Holdings shares will generate the highest return on investment. By undertsting and applying SBI Holdings stock market strength indicators, traders can identify SBI Holdings entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 24.4 | |||
| Day Typical Price | 24.4 | |||
| Price Action Indicator | (0.10) | |||
| Period Momentum Indicator | (0.20) |
SBI Holdings Risk Indicators
The analysis of SBI Holdings' 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 SBI Holdings' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sbi 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 | 1.75 | |||
| Semi Deviation | 1.65 | |||
| Standard Deviation | 2.16 | |||
| Variance | 4.68 | |||
| Downside Variance | 4.03 | |||
| Semi Variance | 2.74 | |||
| Expected Short fall | (2.27) |
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 SBI Stock Analysis
When running SBI Holdings' price analysis, check to measure SBI Holdings' 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 SBI Holdings is operating at the current time. Most of SBI Holdings' value examination focuses on studying past and present price action to predict the probability of SBI Holdings' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SBI Holdings' price. Additionally, you may evaluate how the addition of SBI Holdings to your portfolios can decrease your overall portfolio volatility.