Srisawad Power (Thailand) Market Value
| SAWAD Stock | THB 40.75 0.25 0.62% |
| Symbol | Srisawad |
Srisawad Power '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 Srisawad Power'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 Srisawad Power.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Srisawad Power on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Srisawad Power 1979 or generate 0.0% return on investment in Srisawad Power over 30 days. Srisawad Power is related to or competes with Thai Energy, Royal Orchid, Grand Canal, PRG Public, Unique Mining, Thai Group, and Nfc PLC. Srisawad Corporation Public Company Limited, together with its subsidiaries, provides finance services in Thailand More
Srisawad Power 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 Srisawad Power'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 Srisawad Power 1979 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.22 | |||
| Information Ratio | 7.0E-4 | |||
| Maximum Drawdown | 10.43 | |||
| Value At Risk | (3.59) | |||
| Potential Upside | 4.17 |
Srisawad Power Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Srisawad Power's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Srisawad Power's standard deviation. In reality, there are many statistical measures that can use Srisawad Power historical prices to predict the future Srisawad Power's volatility.| Risk Adjusted Performance | 0.052 | |||
| Jensen Alpha | 0.096 | |||
| Total Risk Alpha | (0.23) | |||
| Sortino Ratio | 7.0E-4 | |||
| Treynor Ratio | 0.5621 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Srisawad Power'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.
Srisawad Power 1979 Backtested Returns
Srisawad Power is out of control given 3 months investment horizon. Srisawad Power 1979 owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the firm had a 0.11% 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 14.64% are justified by taking the suggested risk. Use Srisawad Power 1979 Risk Adjusted Performance of 0.052, coefficient of variation of 1686.48, and Semi Deviation of 1.73 to evaluate company specific risk that cannot be diversified away. Srisawad Power holds a performance score of 9 on a scale of zero to a hundred. The entity has a beta of 0.22, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Srisawad Power's returns are expected to increase less than the market. However, during the bear market, the loss of holding Srisawad Power is expected to be smaller as well. Use Srisawad Power 1979 downside variance, daily balance of power, and the relationship between the maximum drawdown and skewness , to analyze future returns on Srisawad Power 1979.
Auto-correlation | -0.36 |
Poor reverse predictability
Srisawad Power 1979 has poor reverse predictability. Overlapping area represents the amount of predictability between Srisawad Power time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Srisawad Power 1979 price movement. The serial correlation of -0.36 indicates that just about 36.0% of current Srisawad Power price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.36 | |
| Spearman Rank Test | -0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 0.97 |
Srisawad Power 1979 lagged returns against current returns
Autocorrelation, which is Srisawad Power 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 Srisawad Power's stock expected returns. We can calculate the autocorrelation of Srisawad Power returns to help us make a trade decision. For example, suppose you find that Srisawad Power 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 |
Srisawad Power 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 Srisawad Power stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Srisawad Power stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Srisawad Power stock over time.
Current vs Lagged Prices |
| Timeline |
Srisawad Power Lagged Returns
When evaluating Srisawad Power's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Srisawad Power stock have on its future price. Srisawad Power 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, Srisawad Power autocorrelation shows the relationship between Srisawad Power stock current value and its past values and can show if there is a momentum factor associated with investing in Srisawad Power 1979.
Regressed Prices |
| Timeline |
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Srisawad Power financial ratios help investors to determine whether Srisawad 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 Srisawad with respect to the benefits of owning Srisawad Power security.