Great Lakes Dredge Stock Market Value
| GLDD Stock | USD 7.44 0.19 2.49% |
| Symbol | Great |
Great Lakes Dredge Price To Book Ratio
Is Great Lakes' industry 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 0.292 | Earnings Share 0.21 | Revenue Per Share 8.871 | Quarterly Revenue Growth 0.239 | Return On Assets 0.0109 |
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.
Great Lakes 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Great Lakes' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Great Lakes.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Great Lakes on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Great Lakes Dredge or generate 0.0% return on investment in Great Lakes over 30 days. Great Lakes is related to or competes with Primoris Services, Granite Construction, MYR, Southland Holdings, Construction Partners, Matrix Service, and EMCOR. Great Lakes Dredge Dock Corporation provides dredging services in the United States More
Great Lakes Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Great Lakes' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Great Lakes Dredge upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.74 | |||
| Information Ratio | 0.0097 | |||
| Maximum Drawdown | 25.4 | |||
| Value At Risk | (3.74) | |||
| Potential Upside | 3.72 |
Great Lakes Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Great Lakes' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Great Lakes' standard deviation. In reality, there are many statistical measures that can use Great Lakes historical prices to predict the future Great Lakes' volatility.| Risk Adjusted Performance | 0.032 | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.34) | |||
| Sortino Ratio | 0.0118 | |||
| Treynor Ratio | 0.0412 |
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.
Great Lakes Dredge Backtested Returns
Great Lakes Dredge holds Efficiency (Sharpe) Ratio of -0.012, which attests that the entity had a -0.012% return per unit of risk over the last 3 months. Great Lakes Dredge exposes thirty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Great Lakes' Market Risk Adjusted Performance of 0.0512, risk adjusted performance of 0.032, and Downside Deviation of 2.74 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 2.85, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Great Lakes will likely underperform. Great Lakes Dredge has an expected return of -0.0403%. Please make sure to check out Great Lakes maximum drawdown, skewness, and the relationship between the total risk alpha and downside variance , to decide if Great Lakes Dredge performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.44 |
Average predictability
Great Lakes Dredge has average predictability. Overlapping area represents the amount of predictability between Great Lakes time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Great Lakes Dredge price movement. The serial correlation of 0.44 indicates that just about 44.0% of current Great Lakes price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.44 | |
| Spearman Rank Test | 0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
Great Lakes Dredge lagged returns against current returns
Autocorrelation, which is Great Lakes stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Great Lakes' stock expected returns. We can calculate the autocorrelation of Great Lakes returns to help us make a trade decision. For example, suppose you find that Great Lakes has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Great Lakes regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Great Lakes stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Great Lakes stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Great Lakes stock over time.
Current vs Lagged Prices |
| Timeline |
Great Lakes Lagged Returns
When evaluating Great Lakes' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Great Lakes stock have on its future price. Great Lakes autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Great Lakes autocorrelation shows the relationship between Great Lakes stock current value and its past values and can show if there is a momentum factor associated with investing in Great Lakes Dredge.
Regressed Prices |
| Timeline |
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When running Great Lakes' price analysis, check to measure Great Lakes' 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 Great Lakes is operating at the current time. Most of Great Lakes' value examination focuses on studying past and present price action to predict the probability of Great Lakes' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Great Lakes' price. Additionally, you may evaluate how the addition of Great Lakes to your portfolios can decrease your overall portfolio volatility.
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Great Lakes technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.