Four Seasons Education Stock Market Value
| FEDU Stock | USD 9.70 0.87 9.85% |
| Symbol | Four |
Four Seasons Education Price To Book Ratio
Is Four Seasons' industry 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 Four Seasons. If investors know Four 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 Four Seasons 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 (0.83) | Earnings Share (0.18) | Revenue Per Share 38.77 | Quarterly Revenue Growth 3.475 | Return On Assets (0.01) |
The market value of Four Seasons Education is measured differently than its book value, which is the value of Four that is recorded on the company's balance sheet. Investors also form their own opinion of Four Seasons' value that differs from its market value or its book value, called intrinsic value, which is Four Seasons' 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 Four Seasons' market value can be influenced by many factors that don't directly affect Four Seasons' 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 Four Seasons' value and its price as these two are different measures arrived at by different means. Investors typically determine if Four Seasons is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Four Seasons' 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.
Four Seasons '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 Four Seasons' 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 Four Seasons.
| 04/01/2024 |
| 05/01/2024 |
If you would invest 0.00 in Four Seasons on April 1, 2024 and sell it all today you would earn a total of 0.00 from holding Four Seasons Education or generate 0.0% return on investment in Four Seasons over 30 days. Four Seasons is related to or competes with Wah Fu, Sunlands Technology, 51Talk Online, China Liberal, Lixiang Education, Jianzhi Education, and Elite Education. Four Seasons Education Inc. provides after-school education services for kindergarten, elementary, and middle school stu... More
Four Seasons 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 Four Seasons' 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 Four Seasons Education upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.11 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 23.06 | |||
| Value At Risk | (9.96) | |||
| Potential Upside | 11.12 |
Four Seasons Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Four Seasons' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Four Seasons' standard deviation. In reality, there are many statistical measures that can use Four Seasons historical prices to predict the future Four Seasons' volatility.| Risk Adjusted Performance | 0.0096 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.44) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | (0.01) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Four Seasons' 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.
Four Seasons Education Backtested Returns
Four Seasons appears to be moderately volatile, given 3 months investment horizon. Four Seasons Education secures Sharpe Ratio (or Efficiency) of 0.0596, which denotes the company had a 0.0596% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Four Seasons Education, which you can use to evaluate the volatility of the firm. Please utilize Four Seasons' Mean Deviation of 3.3, coefficient of variation of 86406.14, and Downside Deviation of 7.11 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Four Seasons holds a performance score of 4. The firm shows a Beta (market volatility) of 0.59, which means possible diversification benefits within a given portfolio. As returns on the market increase, Four Seasons' returns are expected to increase less than the market. However, during the bear market, the loss of holding Four Seasons is expected to be smaller as well. Please check Four Seasons' potential upside, as well as the relationship between the kurtosis and price action indicator , to make a quick decision on whether Four Seasons' price patterns will revert.
Auto-correlation | -0.1 |
Very weak reverse predictability
Four Seasons Education has very weak reverse predictability. Overlapping area represents the amount of predictability between Four Seasons time series from 1st of April 2024 to 16th of April 2024 and 16th of April 2024 to 1st of May 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 Four Seasons Education price movement. The serial correlation of -0.1 indicates that less than 10.0% of current Four Seasons price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.1 | |
| Spearman Rank Test | 0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.31 |
Four Seasons Education lagged returns against current returns
Autocorrelation, which is Four Seasons 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 Four Seasons' stock expected returns. We can calculate the autocorrelation of Four Seasons returns to help us make a trade decision. For example, suppose you find that Four Seasons 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 |
Four Seasons 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 Four Seasons stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Four Seasons stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Four Seasons stock over time.
Current vs Lagged Prices |
| Timeline |
Four Seasons Lagged Returns
When evaluating Four Seasons' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Four Seasons stock have on its future price. Four Seasons 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, Four Seasons autocorrelation shows the relationship between Four Seasons stock current value and its past values and can show if there is a momentum factor associated with investing in Four Seasons Education.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Four Seasons in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Four Seasons' short interest history, or implied volatility extrapolated from Four Seasons options trading.
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When running Four Seasons' price analysis, check to measure Four Seasons' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Four Seasons is operating at the current time. Most of Four Seasons' value examination focuses on studying past and present price action to predict the probability of Four Seasons' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Four Seasons' price. Additionally, you may evaluate how the addition of Four Seasons to your portfolios can decrease your overall portfolio volatility.
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Four Seasons 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.