General Insurance Stock Forecast - Triple Exponential Smoothing

GICRE Stock   398.25  3.90  0.99%   
The Triple Exponential Smoothing forecasted value of General Insurance on the next trading day is expected to be 402.70 with a mean absolute deviation of 7.73 and the sum of the absolute errors of 455.84. General Stock Forecast is based on your current time horizon. Although General Insurance's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of General Insurance's systematic risk associated with finding meaningful patterns of General Insurance fundamentals over time.
  
At this time, General Insurance's Other Current Assets are very stable compared to the past year. As of the 26th of November 2024, Accumulated Other Comprehensive Income is likely to grow to about 890.6 B, while Total Assets are likely to drop about 1.3 T.
Triple exponential smoothing for General Insurance - 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 General Insurance 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 General Insurance price movement. However, neither of these exponential smoothing models address any seasonality of General Insurance.

General Insurance Triple Exponential Smoothing Price Forecast For the 27th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of General Insurance on the next trading day is expected to be 402.70 with a mean absolute deviation of 7.73, mean absolute percentage error of 104.75, and the sum of the absolute errors of 455.84.
Please note that although there have been many attempts to predict General 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 General Insurance's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

General Insurance Stock Forecast Pattern

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General Insurance Forecasted Value

In the context of forecasting General Insurance'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. General Insurance's downside and upside margins for the forecasting period are 400.30 and 405.10, respectively. We have considered General Insurance'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
398.25
400.30
Downside
402.70
Expected Value
405.10
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 General Insurance stock data series using in forecasting. Note that when a statistical model is used to represent General Insurance 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 0.874
MADMean absolute deviation7.7262
MAPEMean absolute percentage error0.0205
SAESum of the absolute errors455.845
As with simple exponential smoothing, in triple exponential smoothing models past General Insurance 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 General Insurance observations.

Predictive Modules for General Insurance

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as General Insurance. 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 General Insurance's 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.
Hype
Prediction
LowEstimatedHigh
391.70394.09396.48
Details
Intrinsic
Valuation
LowRealHigh
322.83325.22433.79
Details
Earnings
Estimates (0)
LowProjected EPSHigh
7.177.507.83
Details

Other Forecasting Options for General Insurance

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

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

General Insurance 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 General Insurance'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 General Insurance's current price.

General Insurance Market Strength Events

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

General Insurance Risk Indicators

The analysis of General Insurance'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 General Insurance's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting general 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.

Other Information on Investing in General Stock

General Insurance financial ratios help investors to determine whether General Stock 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 General with respect to the benefits of owning General Insurance security.