Aeva Technologies Stock Market Value
| AEVA Stock | USD 4.25 0.48 12.73% |
| Symbol | Aeva |
Aeva Technologies Price To Book Ratio
Is Automotive Parts & 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 Aeva Technologies. If investors know Aeva 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 Aeva Technologies listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (3.12) | Revenue Per Share 0.153 | Quarterly Revenue Growth 1.778 | Return On Assets (0.43) | Return On Equity (0.86) |
The market value of Aeva Technologies is measured differently than its book value, which is the value of Aeva that is recorded on the company's balance sheet. Investors also form their own opinion of Aeva Technologies' value that differs from its market value or its book value, called intrinsic value, which is Aeva Technologies' 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 Aeva Technologies' market value can be influenced by many factors that don't directly affect Aeva Technologies' 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 Aeva Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if Aeva Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Aeva Technologies' 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.
Aeva Technologies '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 Aeva Technologies' 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 Aeva Technologies.
| 10/25/2024 |
| 11/24/2024 |
If you would invest 0.00 in Aeva Technologies on October 25, 2024 and sell it all today you would earn a total of 0.00 from holding Aeva Technologies or generate 0.0% return on investment in Aeva Technologies over 30 days. Aeva Technologies is related to or competes with Innoviz Technologies, Hesai Group, Luminar Technologies, Aeye, Mobileye Global, Quantumscape Corp, and Hyliion Holdings. Aeva Technologies, Inc., through its frequency modulated continuous wave sensing technology, designs a 4D LiDAR-on-chip ... More
Aeva Technologies 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 Aeva Technologies' 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 Aeva Technologies upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.79 | |||
| Information Ratio | 0.1115 | |||
| Maximum Drawdown | 22.6 | |||
| Value At Risk | (6.69) | |||
| Potential Upside | 9.38 |
Aeva Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Aeva Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Aeva Technologies' standard deviation. In reality, there are many statistical measures that can use Aeva Technologies historical prices to predict the future Aeva Technologies' volatility.| Risk Adjusted Performance | 0.1129 | |||
| Jensen Alpha | 0.256 | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | 0.1242 | |||
| Treynor Ratio | 0.188 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Aeva Technologies' 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.
Aeva Technologies Backtested Returns
Aeva Technologies appears to be very risky, given 3 months investment horizon. Aeva Technologies secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the company had a 0.13% return per unit of risk over the last 3 months. By analyzing Aeva Technologies' technical indicators, you can evaluate if the expected return of 0.7% is justified by implied risk. Please makes use of Aeva Technologies' Mean Deviation of 4.05, downside deviation of 4.79, and Risk Adjusted Performance of 0.1129 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Aeva Technologies holds a performance score of 10. The firm shows a Beta (market volatility) of 3.81, which signifies 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, Aeva Technologies will likely underperform. Please check Aeva Technologies' expected short fall, day median price, and the relationship between the potential upside and accumulation distribution , to make a quick decision on whether Aeva Technologies' price patterns will revert.
Auto-correlation | 0.58 |
Modest predictability
Aeva Technologies has modest predictability. Overlapping area represents the amount of predictability between Aeva Technologies time series from 25th of October 2024 to 9th of November 2024 and 9th of November 2024 to 24th of November 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 Aeva Technologies price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current Aeva Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.58 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Aeva Technologies lagged returns against current returns
Autocorrelation, which is Aeva Technologies 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 Aeva Technologies' stock expected returns. We can calculate the autocorrelation of Aeva Technologies returns to help us make a trade decision. For example, suppose you find that Aeva Technologies 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 |
Aeva Technologies 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 Aeva Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Aeva Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Aeva Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
Aeva Technologies Lagged Returns
When evaluating Aeva Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Aeva Technologies stock have on its future price. Aeva Technologies 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, Aeva Technologies autocorrelation shows the relationship between Aeva Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in Aeva Technologies.
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 Aeva Technologies offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Aeva Technologies' 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 Aeva Technologies Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Aeva Technologies Stock:Check out Aeva Technologies Correlation, Aeva Technologies Volatility and Aeva Technologies Alpha and Beta module to complement your research on Aeva Technologies. For information on how to trade Aeva Stock refer to our How to Trade Aeva Stock guide.You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Aeva Technologies 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.