Quality Online Education Stock Market Value
| QOEG Stock | USD 0.0008 0 77.14% |
| Symbol | Quality |
Quality Online '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 Quality Online's pink sheet 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 Quality Online.
| 11/19/2023 |
| 12/13/2024 |
If you would invest 0.00 in Quality Online on November 19, 2023 and sell it all today you would earn a total of 0.00 from holding Quality Online Education or generate 0.0% return on investment in Quality Online over 390 days. Quality Online is related to or competes with Universal Technical, ATA Creativity, Sunlands Technology, Vasta Platform, Ambow Education, American Public, and Strategic Education. Quality Online Education Group Inc., an e-learning company, provides online English lessons to students in China More
Quality Online 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 Quality Online's pink sheet 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 Quality Online Education upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0857 | |||
| Maximum Drawdown | 337.5 |
Quality Online Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quality Online's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quality Online's standard deviation. In reality, there are many statistical measures that can use Quality Online historical prices to predict the future Quality Online's volatility.| Risk Adjusted Performance | 0.0739 | |||
| Jensen Alpha | 3.96 | |||
| Total Risk Alpha | (2.39) | |||
| Treynor Ratio | 6.37 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Quality Online'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.
Quality Online Education Backtested Returns
Quality Online is out of control given 3 months investment horizon. Quality Online Education maintains Sharpe Ratio (i.e., Efficiency) of 0.0895, which implies the firm had a 0.0895% return per unit of risk over the last 3 months. We were able to analyze and collect data for twenty different technical indicators, which can help you to evaluate if expected returns of 4.16% are justified by taking the suggested risk. Use Quality Online Variance of 2093.79, coefficient of variation of 1134.02, and Risk Adjusted Performance of 0.0739 to evaluate company specific risk that cannot be diversified away. Quality Online holds a performance score of 7 on a scale of zero to a hundred. The company holds a Beta of 0.63, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Quality Online's returns are expected to increase less than the market. However, during the bear market, the loss of holding Quality Online is expected to be smaller as well. Use Quality Online information ratio, as well as the relationship between the kurtosis and day typical price , to analyze future returns on Quality Online.
Auto-correlation | -0.52 |
Good reverse predictability
Quality Online Education has good reverse predictability. Overlapping area represents the amount of predictability between Quality Online time series from 19th of November 2023 to 1st of June 2024 and 1st of June 2024 to 13th 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 Quality Online Education price movement. The serial correlation of -0.52 indicates that about 52.0% of current Quality Online price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.52 | |
| Spearman Rank Test | -0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Quality Online Education lagged returns against current returns
Autocorrelation, which is Quality Online pink sheet'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 Quality Online's pink sheet expected returns. We can calculate the autocorrelation of Quality Online returns to help us make a trade decision. For example, suppose you find that Quality Online has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Quality Online 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 Quality Online pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Quality Online pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Quality Online pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Quality Online Lagged Returns
When evaluating Quality Online's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Quality Online pink sheet have on its future price. Quality Online 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, Quality Online autocorrelation shows the relationship between Quality Online pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Quality Online Education.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Quality Pink Sheet
Quality Online financial ratios help investors to determine whether Quality Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Quality with respect to the benefits of owning Quality Online security.