Electrovaya Common Shares Stock Market Value
| ELVA Stock | 2.64 0.04 1.54% |
| Symbol | Electrovaya |
Electrovaya Common Shares Price To Book Ratio
Is Electrical Components & Equipment 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 Electrovaya Common. If investors know Electrovaya 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 Electrovaya Common listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share 0.02 | Revenue Per Share 1.433 | Quarterly Revenue Growth (0.03) | Return On Assets 0.0318 | Return On Equity 0.087 |
The market value of Electrovaya Common Shares is measured differently than its book value, which is the value of Electrovaya that is recorded on the company's balance sheet. Investors also form their own opinion of Electrovaya Common's value that differs from its market value or its book value, called intrinsic value, which is Electrovaya Common'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 Electrovaya Common's market value can be influenced by many factors that don't directly affect Electrovaya Common'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 Electrovaya Common's value and its price as these two are different measures arrived at by different means. Investors typically determine if Electrovaya Common is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Electrovaya Common'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.
Electrovaya Common '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 Electrovaya Common'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 Electrovaya Common.
| 12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in Electrovaya Common on December 13, 2022 and sell it all today you would earn a total of 0.00 from holding Electrovaya Common Shares or generate 0.0% return on investment in Electrovaya Common over 720 days. Electrovaya Common is related to or competes with Bloom Energy, Elong Power, Enovix Corp, Sunrise New, Flux Power, and GrafTech International. Electrovaya Common is entity of United States More
Electrovaya Common 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 Electrovaya Common'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 Electrovaya Common Shares upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.96 | |||
| Information Ratio | 0.0938 | |||
| Maximum Drawdown | 20.02 | |||
| Value At Risk | (3.96) | |||
| Potential Upside | 6.47 |
Electrovaya Common Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Electrovaya Common's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Electrovaya Common's standard deviation. In reality, there are many statistical measures that can use Electrovaya Common historical prices to predict the future Electrovaya Common's volatility.| Risk Adjusted Performance | 0.1079 | |||
| Jensen Alpha | 0.3374 | |||
| Total Risk Alpha | (0.15) | |||
| Sortino Ratio | 0.1182 | |||
| Treynor Ratio | 0.4343 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Electrovaya Common'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.
Electrovaya Common Shares Backtested Returns
Electrovaya Common appears to be relatively risky, given 3 months investment horizon. Electrovaya Common Shares secures Sharpe Ratio (or Efficiency) of 0.14, which denotes the company had a 0.14% return per unit of risk over the last 3 months. By reviewing Electrovaya Common's technical indicators, you can evaluate if the expected return of 0.53% is justified by implied risk. Please utilize Electrovaya Common's Mean Deviation of 2.61, coefficient of variation of 765.12, and Downside Deviation of 2.96 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Electrovaya Common holds a performance score of 10. The firm shows a Beta (market volatility) of 1.1, which means a somewhat significant risk relative to the market. Electrovaya Common returns are very sensitive to returns on the market. As the market goes up or down, Electrovaya Common is expected to follow. Please check Electrovaya Common's downside variance, day median price, and the relationship between the treynor ratio and kurtosis , to make a quick decision on whether Electrovaya Common's price patterns will revert.
Auto-correlation | 0.50 |
Modest predictability
Electrovaya Common Shares has modest predictability. Overlapping area represents the amount of predictability between Electrovaya Common time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 to 2nd of December 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 Electrovaya Common Shares price movement. The serial correlation of 0.5 indicates that about 50.0% of current Electrovaya Common price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.5 | |
| Spearman Rank Test | 0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 0.46 |
Electrovaya Common Shares lagged returns against current returns
Autocorrelation, which is Electrovaya Common 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 Electrovaya Common's stock expected returns. We can calculate the autocorrelation of Electrovaya Common returns to help us make a trade decision. For example, suppose you find that Electrovaya Common 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 |
Electrovaya Common 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 Electrovaya Common stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Electrovaya Common stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Electrovaya Common stock over time.
Current vs Lagged Prices |
| Timeline |
Electrovaya Common Lagged Returns
When evaluating Electrovaya Common's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Electrovaya Common stock have on its future price. Electrovaya Common 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, Electrovaya Common autocorrelation shows the relationship between Electrovaya Common stock current value and its past values and can show if there is a momentum factor associated with investing in Electrovaya Common Shares.
Regressed Prices |
| Timeline |
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 Electrovaya Common Shares offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Electrovaya Common'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 Electrovaya Common Shares Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Electrovaya Common Shares Stock:Check out Electrovaya Common Correlation, Electrovaya Common Volatility and Electrovaya Common Alpha and Beta module to complement your research on Electrovaya Common. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Electrovaya Common 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.