Quhuo Stock Market Value
| QH Stock | USD 1.31 0.03 2.24% |
| Symbol | Quhuo |
Quhuo 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 Quhuo. If investors know Quhuo 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 Quhuo 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 0.304 | Earnings Share (0.59) | Revenue Per Share 520.024 | Quarterly Revenue Growth (0.07) | Return On Assets (0.04) |
The market value of Quhuo is measured differently than its book value, which is the value of Quhuo that is recorded on the company's balance sheet. Investors also form their own opinion of Quhuo's value that differs from its market value or its book value, called intrinsic value, which is Quhuo'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 Quhuo's market value can be influenced by many factors that don't directly affect Quhuo'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 Quhuo's value and its price as these two are different measures arrived at by different means. Investors typically determine if Quhuo is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Quhuo'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.
Quhuo '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 Quhuo'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 Quhuo.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Quhuo on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Quhuo or generate 0.0% return on investment in Quhuo over 30 days. Quhuo is related to or competes with Zoom Video, C3 Ai, Shopify, Workday, Intuit, Snowflake, and Atlassian Corp. Quhuo Limited, through its subsidiaries, operates a workforce operational solution platform in the Peoples Republic of C... More
Quhuo 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 Quhuo'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 Quhuo upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.23 | |||
| Information Ratio | 0.1228 | |||
| Maximum Drawdown | 329.09 | |||
| Value At Risk | (8.33) | |||
| Potential Upside | 14.56 |
Quhuo Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quhuo's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quhuo's standard deviation. In reality, there are many statistical measures that can use Quhuo historical prices to predict the future Quhuo's volatility.| Risk Adjusted Performance | 0.1065 | |||
| Jensen Alpha | 4.72 | |||
| Total Risk Alpha | (0.94) | |||
| Sortino Ratio | 0.6452 | |||
| Treynor Ratio | 8.4 |
Quhuo Backtested Returns
Quhuo is out of control given 3 months investment horizon. Quhuo maintains Sharpe Ratio (i.e., Efficiency) of 0.13, which implies the firm had a 0.13% return per unit of risk over the last 3 months. We have analyze and collected data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 4.96% are justified by taking the suggested risk. Use Quhuo Risk Adjusted Performance of 0.1065, coefficient of variation of 792.79, and Semi Deviation of 5.32 to evaluate company specific risk that cannot be diversified away. Quhuo holds a performance score of 10 on a scale of zero to a hundred. The company holds a Beta of 0.57, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Quhuo's returns are expected to increase less than the market. However, during the bear market, the loss of holding Quhuo is expected to be smaller as well. Use Quhuo accumulation distribution, market facilitation index, as well as the relationship between the downside variance and sortino ratio , to analyze future returns on Quhuo.
Auto-correlation | -0.24 |
Weak reverse predictability
Quhuo has weak reverse predictability. Overlapping area represents the amount of predictability between Quhuo time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 Quhuo price movement. The serial correlation of -0.24 indicates that over 24.0% of current Quhuo price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.24 | |
| Spearman Rank Test | -0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Quhuo lagged returns against current returns
Autocorrelation, which is Quhuo 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 Quhuo's stock expected returns. We can calculate the autocorrelation of Quhuo returns to help us make a trade decision. For example, suppose you find that Quhuo 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 |
Quhuo 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 Quhuo stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Quhuo stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Quhuo stock over time.
Current vs Lagged Prices |
| Timeline |
Quhuo Lagged Returns
When evaluating Quhuo's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Quhuo stock have on its future price. Quhuo 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, Quhuo autocorrelation shows the relationship between Quhuo stock current value and its past values and can show if there is a momentum factor associated with investing in Quhuo.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Quhuo Correlation, Quhuo Volatility and Quhuo Alpha and Beta module to complement your research on Quhuo. For more detail on how to invest in Quhuo Stock please use our How to Invest in Quhuo guide.You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Quhuo 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.