IBF Financial Stock Forecast - Triple Exponential Smoothing

2889 Stock  TWD 14.25  0.10  0.70%   
The Triple Exponential Smoothing forecasted value of IBF Financial Holdings on the next trading day is expected to be 14.22 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 8.62. IBF Stock Forecast is based on your current time horizon.
  
Triple exponential smoothing for IBF Financial - 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 IBF Financial 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 IBF Financial price movement. However, neither of these exponential smoothing models address any seasonality of IBF Financial Holdings.

IBF Financial Triple Exponential Smoothing Price Forecast For the 25th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of IBF Financial Holdings on the next trading day is expected to be 14.22 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.04, and the sum of the absolute errors of 8.62.
Please note that although there have been many attempts to predict IBF 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 IBF Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

IBF Financial Stock Forecast Pattern

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IBF Financial Forecasted Value

In the context of forecasting IBF Financial'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. IBF Financial's downside and upside margins for the forecasting period are 13.02 and 15.41, respectively. We have considered IBF Financial'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
14.25
14.22
Expected Value
15.41
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 IBF Financial stock data series using in forecasting. Note that when a statistical model is used to represent IBF Financial 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 0.0265
MADMean absolute deviation0.146
MAPEMean absolute percentage error0.0097
SAESum of the absolute errors8.6162
As with simple exponential smoothing, in triple exponential smoothing models past IBF Financial 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 IBF Financial Holdings observations.

Predictive Modules for IBF Financial

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as IBF Financial 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.
Hype
Prediction
LowEstimatedHigh
13.0614.2515.44
Details
Intrinsic
Valuation
LowRealHigh
11.8513.0415.68
Details
Bollinger
Band Projection (param)
LowMiddleHigh
14.1914.2814.38
Details

Other Forecasting Options for IBF Financial

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

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

IBF Financial 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 IBF Financial'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 IBF Financial's current price.

IBF Financial Market Strength Events

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

IBF Financial Risk Indicators

The analysis of IBF Financial'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 IBF Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ibf 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 IBF Stock Analysis

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