Simat Technologies (Thailand) Market Value
| SIMAT Stock | THB 1.62 0.04 2.53% |
| Symbol | Simat |
Simat Technologies '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 Simat Technologies' 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 Simat Technologies.
| 11/11/2024 |
| 12/11/2024 |
If you would invest 0.00 in Simat Technologies on November 11, 2024 and sell it all today you would earn a total of 0.00 from holding Simat Technologies Public or generate 0.0% return on investment in Simat Technologies over 30 days. Simat Technologies is related to or competes with SGF Capital, S P, SiS Distribution, and Power Solution. Simat Technologies Public Company Limited distributes computer hardware, software, and network accessories in Thailand a... More
Simat Technologies 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 Simat Technologies' 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 Simat Technologies Public upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 30.47 | |||
| Value At Risk | (5.66) | |||
| Potential Upside | 7.92 |
Simat Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Simat Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Simat Technologies' standard deviation. In reality, there are many statistical measures that can use Simat Technologies historical prices to predict the future Simat Technologies' volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.20) | |||
| Total Risk Alpha | (0.88) | |||
| Treynor Ratio | (1.75) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Simat Technologies' 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.
Simat Technologies Public Backtested Returns
Simat Technologies Public owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0134, which indicates the firm had a -0.0134% return per unit of risk over the last 3 months. Simat Technologies Public exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Simat Technologies' Variance of 18.83, coefficient of variation of (2,425), and Risk Adjusted Performance of (0.02) to confirm the risk estimate we provide. The entity has a beta of 0.11, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Simat Technologies' returns are expected to increase less than the market. However, during the bear market, the loss of holding Simat Technologies is expected to be smaller as well. At this point, Simat Technologies Public has a negative expected return of -0.0601%. Please make sure to validate Simat Technologies' total risk alpha, skewness, as well as the relationship between the Skewness and day median price , to decide if Simat Technologies Public performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.06 |
Virtually no predictability
Simat Technologies Public has virtually no predictability. Overlapping area represents the amount of predictability between Simat Technologies time series from 11th of November 2024 to 26th of November 2024 and 26th of November 2024 to 11th 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 Simat Technologies Public price movement. The serial correlation of 0.06 indicates that barely 6.0% of current Simat Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.06 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Simat Technologies Public lagged returns against current returns
Autocorrelation, which is Simat Technologies 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 Simat Technologies' stock expected returns. We can calculate the autocorrelation of Simat Technologies returns to help us make a trade decision. For example, suppose you find that Simat Technologies 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 |
Simat Technologies 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 Simat Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Simat Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Simat Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
Simat Technologies Lagged Returns
When evaluating Simat Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Simat Technologies stock have on its future price. Simat Technologies 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, Simat Technologies autocorrelation shows the relationship between Simat Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in Simat Technologies Public.
Regressed Prices |
| Timeline |
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Simat Technologies financial ratios help investors to determine whether Simat 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 Simat with respect to the benefits of owning Simat Technologies security.