ICICI Forecast - Double Exponential Smoothing

45112EAG4   98.76  0.00  0.00%   
The Double Exponential Smoothing forecasted value of ICICI 4 18 MAR 26 on the next trading day is expected to be 98.81 with a mean absolute deviation of 0.39 and the sum of the absolute errors of 17.54. ICICI Bond Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast ICICI stock prices and determine the direction of ICICI 4 18 MAR 26's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of ICICI's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for ICICI works best with periods where there are trends or seasonality.

ICICI Double Exponential Smoothing Price Forecast For the 25th of January

Given 90 days horizon, the Double Exponential Smoothing forecasted value of ICICI 4 18 MAR 26 on the next trading day is expected to be 98.81 with a mean absolute deviation of 0.39, mean absolute percentage error of 0.41, and the sum of the absolute errors of 17.54.
Please note that although there have been many attempts to predict ICICI Bond 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's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ICICI Bond Forecast Pattern

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 ICICI bond data series using in forecasting. Note that when a statistical model is used to represent ICICI bond, 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 -0.0783
MADMean absolute deviation0.3898
MAPEMean absolute percentage error0.004
SAESum of the absolute errors17.5405
When ICICI 4 18 MAR 26 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 ICICI 4 18 MAR 26 trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent ICICI observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for ICICI

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 4 18. Regardless of method or technology, however, to accurately forecast the bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the bond 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
98.7698.7698.76
Details
Intrinsic
Valuation
LowRealHigh
98.1898.18108.64
Details
Bollinger
Band Projection (param)
LowMiddleHigh
98.3898.8799.35
Details

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

ICICI Market Strength Events

Market strength indicators help investors to evaluate how ICICI bond reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading ICICI shares will generate the highest return on investment. By undertsting and applying ICICI bond market strength indicators, traders can identify ICICI 4 18 MAR 26 entry and exit signals to maximize returns.

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 ICICI Bond

ICICI financial ratios help investors to determine whether ICICI Bond 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 ICICI with respect to the benefits of owning ICICI security.