Full Truck Alliance Stock Market Value
| YMM Stock | USD 9.97 0.02 0.20% |
| Symbol | Full |
Full Truck Alliance Price To Book Ratio
Is Application Software 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 Full Truck. If investors know Full 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 Full Truck 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 0.384 | Earnings Share 0.39 | Revenue Per Share 9.282 | Quarterly Revenue Growth 0.341 | Return On Assets 0.0232 |
The market value of Full Truck Alliance is measured differently than its book value, which is the value of Full that is recorded on the company's balance sheet. Investors also form their own opinion of Full Truck's value that differs from its market value or its book value, called intrinsic value, which is Full Truck'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 Full Truck's market value can be influenced by many factors that don't directly affect Full Truck'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 Full Truck's value and its price as these two are different measures arrived at by different means. Investors typically determine if Full Truck is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Full Truck'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.
Full Truck '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 Full Truck'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 Full Truck.
| 10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in Full Truck on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding Full Truck Alliance or generate 0.0% return on investment in Full Truck over 30 days. Full Truck is related to or competes with Domo, Oblong, Kingsoft Cloud, Bm Technologies, EPlus, Envestnet, and Braze. Ltd., together with its subsidiaries, operates a digital freight platform that connects shippers with truckers to facili... More
Full Truck 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 Full Truck'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 Full Truck Alliance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.42 | |||
| Information Ratio | 0.1133 | |||
| Maximum Drawdown | 18.22 | |||
| Value At Risk | (3.79) | |||
| Potential Upside | 5.58 |
Full Truck Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Full Truck's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Full Truck's standard deviation. In reality, there are many statistical measures that can use Full Truck historical prices to predict the future Full Truck's volatility.| Risk Adjusted Performance | 0.1225 | |||
| Jensen Alpha | 0.4235 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.1611 | |||
| Treynor Ratio | 0.7143 |
Full Truck Alliance Backtested Returns
Full Truck appears to be somewhat reliable, given 3 months investment horizon. Full Truck Alliance secures Sharpe Ratio (or Efficiency) of 0.17, which denotes the company had a 0.17% return per unit of risk over the last 3 months. By reviewing Full Truck's technical indicators, you can evaluate if the expected return of 0.58% is justified by implied risk. Please utilize Full Truck's Downside Deviation of 2.42, coefficient of variation of 668.06, and Mean Deviation of 2.37 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Full Truck holds a performance score of 13. The firm shows a Beta (market volatility) of 0.71, which means possible diversification benefits within a given portfolio. As returns on the market increase, Full Truck's returns are expected to increase less than the market. However, during the bear market, the loss of holding Full Truck is expected to be smaller as well. Please check Full Truck's potential upside, as well as the relationship between the accumulation distribution and price action indicator , to make a quick decision on whether Full Truck's price patterns will revert.
Auto-correlation | -0.6 |
Good reverse predictability
Full Truck Alliance has good reverse predictability. Overlapping area represents the amount of predictability between Full Truck time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th 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 Full Truck Alliance price movement. The serial correlation of -0.6 indicates that roughly 60.0% of current Full Truck price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.6 | |
| Spearman Rank Test | -0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 0.46 |
Full Truck Alliance lagged returns against current returns
Autocorrelation, which is Full Truck 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 Full Truck's stock expected returns. We can calculate the autocorrelation of Full Truck returns to help us make a trade decision. For example, suppose you find that Full Truck 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 |
Full Truck 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 Full Truck stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Full Truck stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Full Truck stock over time.
Current vs Lagged Prices |
| Timeline |
Full Truck Lagged Returns
When evaluating Full Truck's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Full Truck stock have on its future price. Full Truck 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, Full Truck autocorrelation shows the relationship between Full Truck stock current value and its past values and can show if there is a momentum factor associated with investing in Full Truck Alliance.
Regressed Prices |
| Timeline |
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Full Truck 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.