Arrive Ai Stock Market Value
| ARAI Stock | 6.00 0.40 6.25% |
| Symbol | Arrive |
Arrive AI Price To Book Ratio
Is Business Services 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 Arrive AI. If investors know Arrive 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 Arrive AI listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Arrive AI is measured differently than its book value, which is the value of Arrive that is recorded on the company's balance sheet. Investors also form their own opinion of Arrive AI's value that differs from its market value or its book value, called intrinsic value, which is Arrive AI'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 Arrive AI's market value can be influenced by many factors that don't directly affect Arrive AI'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 Arrive AI's value and its price as these two are different measures arrived at by different means. Investors typically determine if Arrive AI is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Arrive AI'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.
Arrive AI '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 Arrive AI'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 Arrive AI.
| 05/18/2025 |
| 08/16/2025 |
If you would invest 0.00 in Arrive AI on May 18, 2025 and sell it all today you would earn a total of 0.00 from holding Arrive AI or generate 0.0% return on investment in Arrive AI over 90 days. Arrive AI is related to or competes with Zoom Video, Universal Music, HNI Corp, Yuexiu Transport, and Insteel Industries. Arrive AI is entity of United States. It is traded as Stock on NASDAQ exchange. More
Arrive AI 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 Arrive AI'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 Arrive AI upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 79.77 | |||
| Value At Risk | (17.07) | |||
| Potential Upside | 15.92 |
Arrive AI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Arrive AI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Arrive AI's standard deviation. In reality, there are many statistical measures that can use Arrive AI historical prices to predict the future Arrive AI's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.52) | |||
| Total Risk Alpha | (1.84) | |||
| Treynor Ratio | (0.30) |
Arrive AI Backtested Returns
Arrive AI secures Sharpe Ratio (or Efficiency) of close to zero, which signifies that the company had a close to zero % return per unit of risk over the last 3 months. Arrive AI exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Arrive AI's Standard Deviation of 12.94, mean deviation of 9.21, and Risk Adjusted Performance of (0.01) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.36, 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, Arrive AI will likely underperform. At this point, Arrive AI has a negative expected return of -0.11%. Please make sure to confirm Arrive AI's kurtosis, and the relationship between the value at risk and rate of daily change , to decide if Arrive AI performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.16 |
Insignificant reverse predictability
Arrive AI has insignificant reverse predictability. Overlapping area represents the amount of predictability between Arrive AI time series from 18th of May 2025 to 2nd of July 2025 and 2nd of July 2025 to 16th of August 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Arrive AI price movement. The serial correlation of -0.16 indicates that over 16.0% of current Arrive AI price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.16 | |
| Spearman Rank Test | -0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 2.6 |
Arrive AI lagged returns against current returns
Autocorrelation, which is Arrive AI 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 Arrive AI's stock expected returns. We can calculate the autocorrelation of Arrive AI returns to help us make a trade decision. For example, suppose you find that Arrive AI 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 |
Arrive AI 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 Arrive AI stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Arrive AI stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Arrive AI stock over time.
Current vs Lagged Prices |
| Timeline |
Arrive AI Lagged Returns
When evaluating Arrive AI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Arrive AI stock have on its future price. Arrive AI 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, Arrive AI autocorrelation shows the relationship between Arrive AI stock current value and its past values and can show if there is a momentum factor associated with investing in Arrive AI.
Regressed Prices |
| Timeline |
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Check out Arrive AI Correlation, Arrive AI Volatility and Arrive AI Alpha and Beta module to complement your research on Arrive AI. For more detail on how to invest in Arrive Stock please use our How to Invest in Arrive AI guide.You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Arrive AI 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.