ICICI Bank Stock Forecast - Polynomial Regression
| ICBA Stock | EUR 29.40 0.20 0.68% |
The Polynomial Regression forecasted value of ICICI Bank Limited on the next trading day is expected to be 29.83 with a mean absolute deviation of 0.37 and the sum of the absolute errors of 22.28. ICICI Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of ICICI Bank's historical fundamentals, such as revenue growth or operating cash flow patterns.
ICICI |
ICICI Bank Polynomial Regression Price Forecast For the 24th of December
Given 90 days horizon, the Polynomial Regression forecasted value of ICICI Bank Limited on the next trading day is expected to be 29.83 with a mean absolute deviation of 0.37, mean absolute percentage error of 0.25, and the sum of the absolute errors of 22.28.Please note that although there have been many attempts to predict ICICI 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 ICICI Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
ICICI Bank Stock Forecast Pattern
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ICICI Bank Forecasted Value
In the context of forecasting ICICI Bank'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. ICICI Bank's downside and upside margins for the forecasting period are 28.04 and 31.63, respectively. We have considered ICICI Bank'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of ICICI Bank stock data series using in forecasting. Note that when a statistical model is used to represent ICICI Bank 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 | 116.7141 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3652 |
| MAPE | Mean absolute percentage error | 0.0129 |
| SAE | Sum of the absolute errors | 22.2759 |
Predictive Modules for ICICI Bank
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ICICI Bank Limited. 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 ICICI Bank
For every potential investor in ICICI, whether a beginner or expert, ICICI Bank's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. ICICI Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in ICICI. Basic forecasting techniques help filter out the noise by identifying ICICI Bank's price trends.ICICI Bank 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 ICICI Bank stock to make a market-neutral strategy. Peer analysis of ICICI Bank could also be used in its relative valuation, which is a method of valuing ICICI Bank by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
ICICI Bank Limited 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 ICICI Bank'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 ICICI Bank's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
ICICI Bank Market Strength Events
Market strength indicators help investors to evaluate how ICICI Bank stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading ICICI Bank shares will generate the highest return on investment. By undertsting and applying ICICI Bank stock market strength indicators, traders can identify ICICI Bank Limited entry and exit signals to maximize returns.
ICICI Bank Risk Indicators
The analysis of ICICI Bank'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 ICICI Bank's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting icici 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 | 1.36 | |||
| Semi Deviation | 1.53 | |||
| Standard Deviation | 1.81 | |||
| Variance | 3.28 | |||
| Downside Variance | 4.11 | |||
| Semi Variance | 2.33 | |||
| Expected Short fall | (1.82) |
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 Information and Resources on Investing in ICICI Stock
When determining whether ICICI Bank Limited offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of ICICI Bank's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Icici Bank Limited Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Icici Bank Limited Stock:Check out Historical Fundamental Analysis of ICICI Bank to cross-verify your projections. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.