Great Lakes Stock Forecast - Triple Exponential Smoothing

GLDD Stock  USD 12.52  0.01  0.08%   
The Triple Exponential Smoothing forecasted value of Great Lakes Dredge on the next trading day is expected to be 12.55 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 10.92. Great Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Great Lakes stock prices and determine the direction of Great Lakes Dredge's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Great Lakes' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
The current year's Asset Turnover is expected to grow to 0.92, whereas Inventory Turnover is forecasted to decline to 14.70. . As of November 28, 2024, Common Stock Shares Outstanding is expected to decline to about 51.4 M. The current year's Net Loss is expected to grow to about (37.2 M).
Triple exponential smoothing for Great Lakes - 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 Great Lakes 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 Great Lakes price movement. However, neither of these exponential smoothing models address any seasonality of Great Lakes Dredge.

Great Lakes Triple Exponential Smoothing Price Forecast For the 29th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Great Lakes Dredge on the next trading day is expected to be 12.55 with a mean absolute deviation of 0.19, mean absolute percentage error of 0.06, and the sum of the absolute errors of 10.92.
Please note that although there have been many attempts to predict Great 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 Great Lakes' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Great Lakes Stock Forecast Pattern

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Great Lakes Forecasted Value

In the context of forecasting Great Lakes' 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. Great Lakes' downside and upside margins for the forecasting period are 10.42 and 14.69, respectively. We have considered Great Lakes' 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
12.52
12.55
Expected Value
14.69
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 Great Lakes stock data series using in forecasting. Note that when a statistical model is used to represent Great Lakes 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 -0.0278
MADMean absolute deviation0.1851
MAPEMean absolute percentage error0.0164
SAESum of the absolute errors10.918
As with simple exponential smoothing, in triple exponential smoothing models past Great Lakes 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 Great Lakes Dredge observations.

Predictive Modules for Great Lakes

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Great Lakes Dredge. 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 Great Lakes' 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
10.3412.4914.64
Details
Intrinsic
Valuation
LowRealHigh
11.0913.2415.39
Details
2 Analysts
Consensus
LowTargetHigh
11.2212.3313.69
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.190.200.20
Details

Other Forecasting Options for Great Lakes

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

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

Great Lakes Dredge 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 Great Lakes' 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 Great Lakes' current price.

Great Lakes Market Strength Events

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

Great Lakes Risk Indicators

The analysis of Great Lakes' 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 Great Lakes' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting great 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.
When determining whether Great Lakes Dredge is a strong investment it is important to analyze Great Lakes' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Great Lakes' future performance. For an informed investment choice regarding Great Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Great Lakes to cross-verify your projections.
You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Is Construction & Engineering space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Great Lakes. If investors know Great will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Great Lakes listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
3.219
Earnings Share
0.88
Revenue Per Share
11.083
Quarterly Revenue Growth
0.631
Return On Assets
0.0481
The market value of Great Lakes Dredge is measured differently than its book value, which is the value of Great that is recorded on the company's balance sheet. Investors also form their own opinion of Great Lakes' value that differs from its market value or its book value, called intrinsic value, which is Great Lakes' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Great Lakes' market value can be influenced by many factors that don't directly affect Great Lakes' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Great Lakes' value and its price as these two are different measures arrived at by different means. Investors typically determine if Great Lakes is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Great Lakes' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.