Energy Recovery Stock Market Value
| ERII Stock | USD 13.95 0.37 2.72% |
| Symbol | Energy |
Energy Recovery Price To Book Ratio
Is Energy Recovery's 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 Energy Recovery. If investors know Energy 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 Energy Recovery 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 0.414 | Earnings Share 0.35 | Revenue Per Share 2.242 | Quarterly Revenue Growth (0.1) | Return On Assets 0.0449 |
The market value of Energy Recovery is measured differently than its book value, which is the value of Energy that is recorded on the company's balance sheet. Investors also form their own opinion of Energy Recovery's value that differs from its market value or its book value, called intrinsic value, which is Energy Recovery's 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 Energy Recovery's market value can be influenced by many factors that don't directly affect Energy Recovery's 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 Energy Recovery's value and its price as these two are different measures arrived at by different means. Investors typically determine if Energy Recovery is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Energy Recovery's 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.
Energy Recovery '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 Energy Recovery's 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 Energy Recovery.
| 04/22/2024 |
| 05/22/2024 |
If you would invest 0.00 in Energy Recovery on April 22, 2024 and sell it all today you would earn a total of 0.00 from holding Energy Recovery or generate 0.0% return on investment in Energy Recovery over 30 days. Energy Recovery is related to or competes with Federal Signal, Fuel Tech, and 374Water Common. Energy Recovery, Inc., together with its subsidiaries, designs, manufactures, and sells various solutions for the seawat... More
Energy Recovery 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 Energy Recovery's 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 Energy Recovery upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 19.89 | |||
| Value At Risk | (4.39) | |||
| Potential Upside | 4.59 |
Energy Recovery Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Energy Recovery's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Energy Recovery's standard deviation. In reality, there are many statistical measures that can use Energy Recovery historical prices to predict the future Energy Recovery's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.26) | |||
| Total Risk Alpha | (0.56) | |||
| Treynor Ratio | (0.18) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Energy Recovery'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.
Energy Recovery Backtested Returns
Energy Recovery secures Sharpe Ratio (or Efficiency) of -0.0261, which denotes the company had a -0.0261% return per unit of risk over the last 3 months. Energy Recovery exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Energy Recovery's Standard Deviation of 3.04, variance of 9.26, and Mean Deviation of 2.23 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.06, which means a somewhat significant risk relative to the market. Energy Recovery returns are very sensitive to returns on the market. As the market goes up or down, Energy Recovery is expected to follow. Energy Recovery has an expected return of -0.0799%. Please make sure to confirm Energy Recovery potential upside, and the relationship between the total risk alpha and daily balance of power , to decide if Energy Recovery performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.56 |
Modest predictability
Energy Recovery has modest predictability. Overlapping area represents the amount of predictability between Energy Recovery time series from 22nd of April 2024 to 7th of May 2024 and 7th of May 2024 to 22nd of May 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 Energy Recovery price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current Energy Recovery price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Energy Recovery lagged returns against current returns
Autocorrelation, which is Energy Recovery 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 Energy Recovery's stock expected returns. We can calculate the autocorrelation of Energy Recovery returns to help us make a trade decision. For example, suppose you find that Energy Recovery 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 |
Energy Recovery 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 Energy Recovery stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Energy Recovery stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Energy Recovery stock over time.
Current vs Lagged Prices |
| Timeline |
Energy Recovery Lagged Returns
When evaluating Energy Recovery's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Energy Recovery stock have on its future price. Energy Recovery 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, Energy Recovery autocorrelation shows the relationship between Energy Recovery stock current value and its past values and can show if there is a momentum factor associated with investing in Energy Recovery.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Energy Recovery offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Energy Recovery's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Energy Recovery Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Energy Recovery Stock:Check out Energy Recovery Correlation, Energy Recovery Volatility and Energy Recovery Alpha and Beta module to complement your research on Energy Recovery. For more detail on how to invest in Energy Stock please use our How to Invest in Energy Recovery guide.You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Complementary Tools for Energy Stock analysis
When running Energy Recovery's price analysis, check to measure Energy Recovery'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 Energy Recovery is operating at the current time. Most of Energy Recovery's value examination focuses on studying past and present price action to predict the probability of Energy Recovery's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Energy Recovery's price. Additionally, you may evaluate how the addition of Energy Recovery to your portfolios can decrease your overall portfolio volatility.
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Energy Recovery 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.