Electricity Generating (Thailand) Market Value
| EGCO Stock | THB 113.00 2.00 1.74% |
| Symbol | Electricity |
Electricity Generating '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 Electricity Generating'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 Electricity Generating.
| 12/08/2024 |
| 01/07/2025 |
If you would invest 0.00 in Electricity Generating on December 8, 2024 and sell it all today you would earn a total of 0.00 from holding Electricity Generating Public or generate 0.0% return on investment in Electricity Generating over 30 days. Electricity Generating is related to or competes with PTT Public, Siam Cement, Ratch Group, Bangkok Bank, and PTT Global. Electricity Generating Public Company Limited, together with its subsidiaries, generates and sells electricity to govern... More
Electricity Generating 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 Electricity Generating'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 Electricity Generating Public upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 5.69 | |||
| Value At Risk | (2.05) | |||
| Potential Upside | 2.1 |
Electricity Generating Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Electricity Generating's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Electricity Generating's standard deviation. In reality, there are many statistical measures that can use Electricity Generating historical prices to predict the future Electricity Generating's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | 0.609 |
Electricity Generating Backtested Returns
Electricity Generating secures Sharpe Ratio (or Efficiency) of -0.0828, which denotes the company had a -0.0828% return per unit of risk over the last 3 months. Electricity Generating Public exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Electricity Generating's Variance of 1.63, standard deviation of 1.28, and Mean Deviation of 0.9725 to check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.19, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Electricity Generating are expected to decrease at a much lower rate. During the bear market, Electricity Generating is likely to outperform the market. At this point, Electricity Generating has a negative expected return of -0.11%. Please make sure to confirm Electricity Generating's coefficient of variation, information ratio, total risk alpha, as well as the relationship between the standard deviation and jensen alpha , to decide if Electricity Generating performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.87 |
Very good predictability
Electricity Generating Public has very good predictability. Overlapping area represents the amount of predictability between Electricity Generating time series from 8th of December 2024 to 23rd of December 2024 and 23rd of December 2024 to 7th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Electricity Generating price movement. The serial correlation of 0.87 indicates that approximately 87.0% of current Electricity Generating price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.87 | |
| Spearman Rank Test | 0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 4.6 |
Electricity Generating lagged returns against current returns
Autocorrelation, which is Electricity Generating 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 Electricity Generating's stock expected returns. We can calculate the autocorrelation of Electricity Generating returns to help us make a trade decision. For example, suppose you find that Electricity Generating 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 |
Electricity Generating 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 Electricity Generating stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Electricity Generating stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Electricity Generating stock over time.
Current vs Lagged Prices |
| Timeline |
Electricity Generating Lagged Returns
When evaluating Electricity Generating's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Electricity Generating stock have on its future price. Electricity Generating 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, Electricity Generating autocorrelation shows the relationship between Electricity Generating stock current value and its past values and can show if there is a momentum factor associated with investing in Electricity Generating Public.
Regressed Prices |
| Timeline |
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Electricity Generating financial ratios help investors to determine whether Electricity 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 Electricity with respect to the benefits of owning Electricity Generating security.