Bank of Baroda Stock Forecast - Triple Exponential Smoothing

BANKBARODA   246.40  2.60  1.04%   
The Triple Exponential Smoothing forecasted value of Bank of Baroda on the next trading day is expected to be 246.75 with a mean absolute deviation of 3.55 and the sum of the absolute errors of 209.70. Bank Stock Forecast is based on your current time horizon. Although Bank of Baroda's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Bank of Baroda's systematic risk associated with finding meaningful patterns of Bank of Baroda fundamentals over time.
  
At this time, Bank of Baroda's Non Currrent Assets Other are relatively stable compared to the past year. As of 12/01/2024, Liabilities And Stockholders Equity is likely to grow to about 17.4 T, while Accounts Payable is likely to drop slightly above 38.4 B.
Triple exponential smoothing for Bank of Baroda - 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 Bank of Baroda 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 Bank of Baroda price movement. However, neither of these exponential smoothing models address any seasonality of Bank of Baroda.

Bank of Baroda Triple Exponential Smoothing Price Forecast For the 2nd of December

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Bank of Baroda on the next trading day is expected to be 246.75 with a mean absolute deviation of 3.55, mean absolute percentage error of 22.06, and the sum of the absolute errors of 209.70.
Please note that although there have been many attempts to predict Bank 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 Bank of Baroda's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bank of Baroda Stock Forecast Pattern

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Bank of Baroda Forecasted Value

In the context of forecasting Bank of Baroda'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. Bank of Baroda's downside and upside margins for the forecasting period are 244.83 and 248.67, respectively. We have considered Bank of Baroda'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
246.40
244.83
Downside
246.75
Expected Value
248.67
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 Bank of Baroda stock data series using in forecasting. Note that when a statistical model is used to represent Bank of Baroda 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 0.3068
MADMean absolute deviation3.5542
MAPEMean absolute percentage error0.0146
SAESum of the absolute errors209.7
As with simple exponential smoothing, in triple exponential smoothing models past Bank of Baroda 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 Bank of Baroda observations.

Predictive Modules for Bank of Baroda

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bank of Baroda. 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.
Hype
Prediction
LowEstimatedHigh
244.56246.48248.40
Details
Intrinsic
Valuation
LowRealHigh
226.89228.81271.04
Details
Bollinger
Band Projection (param)
LowMiddleHigh
229.92242.59255.27
Details
Earnings
Estimates (0)
LowProjected EPSHigh
5.297.038.77
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Bank of Baroda. Your research has to be compared to or analyzed against Bank of Baroda's peers to derive any actionable benefits. When done correctly, Bank of Baroda's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Bank of Baroda.

Other Forecasting Options for Bank of Baroda

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

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

Bank of Baroda 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 Bank of Baroda'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 Bank of Baroda's current price.

Bank of Baroda Market Strength Events

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

Bank of Baroda Risk Indicators

The analysis of Bank of Baroda'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 Bank of Baroda's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bank 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.

Additional Tools for Bank Stock Analysis

When running Bank of Baroda's price analysis, check to measure Bank of Baroda'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 Bank of Baroda is operating at the current time. Most of Bank of Baroda's value examination focuses on studying past and present price action to predict the probability of Bank of Baroda's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bank of Baroda's price. Additionally, you may evaluate how the addition of Bank of Baroda to your portfolios can decrease your overall portfolio volatility.