E For (Thailand) Market Value
| EFORL Stock | THB 0.27 0.01 3.57% |
| Symbol | EFORL |
E For '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 E For'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 E For.
| 12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in E For on December 13, 2022 and sell it all today you would earn a total of 0.00 from holding E for L or generate 0.0% return on investment in E For over 720 days. E For is related to or competes with East Coast, Forth Smart, Filter Vision, and ARIP Public. E for L Aim Public Company Limited, together with its subsidiaries, distributes medical devices and in Thailand and inte... More
E For 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 E For'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 E for L upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 8.02 | |||
| Information Ratio | 0.1737 | |||
| Maximum Drawdown | 43.33 | |||
| Value At Risk | (7.69) | |||
| Potential Upside | 10.0 |
E For Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for E For's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as E For's standard deviation. In reality, there are many statistical measures that can use E For historical prices to predict the future E For's volatility.| Risk Adjusted Performance | 0.1569 | |||
| Jensen Alpha | 1.24 | |||
| Total Risk Alpha | 0.174 | |||
| Sortino Ratio | 0.149 | |||
| Treynor Ratio | 2.18 |
E for L Backtested Returns
E For is out of control given 3 months investment horizon. E for L secures Sharpe Ratio (or Efficiency) of 0.14, which denotes the company had a 0.14% return per unit of risk over the last 3 months. We have analyzed twenty-eight different technical indicators, which can help you to evaluate if expected returns of 17.25% are justified by taking the suggested risk. Use E For Mean Deviation of 4.7, coefficient of variation of 516.34, and Downside Deviation of 8.02 to evaluate company specific risk that cannot be diversified away. E For holds a performance score of 10 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 0.61, which means possible diversification benefits within a given portfolio. As returns on the market increase, E For's returns are expected to increase less than the market. However, during the bear market, the loss of holding E For is expected to be smaller as well. Use E For jensen alpha and the relationship between the value at risk and day median price , to analyze future returns on E For.
Auto-correlation | 0.64 |
Good predictability
E for L has good predictability. Overlapping area represents the amount of predictability between E For time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 to 2nd 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 E for L price movement. The serial correlation of 0.64 indicates that roughly 64.0% of current E For price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.64 | |
| Spearman Rank Test | 0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
E for L lagged returns against current returns
Autocorrelation, which is E For 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 E For's stock expected returns. We can calculate the autocorrelation of E For returns to help us make a trade decision. For example, suppose you find that E For 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 |
E For 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 E For stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if E For stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in E For stock over time.
Current vs Lagged Prices |
| Timeline |
E For Lagged Returns
When evaluating E For's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of E For stock have on its future price. E For 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, E For autocorrelation shows the relationship between E For stock current value and its past values and can show if there is a momentum factor associated with investing in E for L.
Regressed Prices |
| Timeline |
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E For financial ratios help investors to determine whether EFORL Stock 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 EFORL with respect to the benefits of owning E For security.