Singapore Technologies Engineering Stock Market Value
| SGGKF Stock | USD 4.90 0.20 3.92% |
| Symbol | Singapore |
Singapore 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 Singapore Technologies' pink sheet 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 Singapore Technologies.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Singapore Technologies on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Singapore Technologies Engineering or generate 0.0% return on investment in Singapore Technologies over 90 days. Singapore Technologies is related to or competes with Thales SA, MTU Aero, Safran SA, Airbus Group, Safran SA, Embraer SA, and BAE Systems. Singapore Technologies Engineering Ltd operates as a technology and engineering company in Asia, Europe, the Middle East... More
Singapore 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 Singapore Technologies' pink sheet 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 Singapore Technologies Engineering upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.46 | |||
| Information Ratio | 0.1674 | |||
| Maximum Drawdown | 36.05 | |||
| Value At Risk | (6.82) | |||
| Potential Upside | 12.0 |
Singapore Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Singapore Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Singapore Technologies' standard deviation. In reality, there are many statistical measures that can use Singapore Technologies historical prices to predict the future Singapore Technologies' volatility.| Risk Adjusted Performance | 0.1391 | |||
| Jensen Alpha | 0.8806 | |||
| Total Risk Alpha | 1.56 | |||
| Sortino Ratio | 0.1282 | |||
| Treynor Ratio | 2.74 |
Singapore Technologies Backtested Returns
Singapore Technologies appears to be risky, given 3 months investment horizon. Singapore Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.17, which indicates the firm had a 0.17 % return per unit of risk over the last 3 months. By inspecting Singapore Technologies' technical indicators, you can evaluate if the expected return of 0.87% is justified by implied risk. Please review Singapore Technologies' Coefficient Of Variation of 666.41, risk adjusted performance of 0.1391, and Semi Deviation of 2.54 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Singapore Technologies holds a performance score of 13. The entity has a beta of 0.31, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Singapore Technologies' returns are expected to increase less than the market. However, during the bear market, the loss of holding Singapore Technologies is expected to be smaller as well. Please check Singapore Technologies' semi variance, and the relationship between the maximum drawdown and daily balance of power , to make a quick decision on whether Singapore Technologies' existing price patterns will revert.
Auto-correlation | -0.72 |
Almost perfect reverse predictability
Singapore Technologies Engineering has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Singapore Technologies time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 Singapore Technologies price movement. The serial correlation of -0.72 indicates that around 72.0% of current Singapore Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.72 | |
| Spearman Rank Test | -0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
Singapore Technologies lagged returns against current returns
Autocorrelation, which is Singapore Technologies pink sheet'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 Singapore Technologies' pink sheet expected returns. We can calculate the autocorrelation of Singapore Technologies returns to help us make a trade decision. For example, suppose you find that Singapore Technologies has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Singapore 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 Singapore Technologies pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Singapore Technologies pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Singapore Technologies pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Singapore Technologies Lagged Returns
When evaluating Singapore Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Singapore Technologies pink sheet have on its future price. Singapore 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, Singapore Technologies autocorrelation shows the relationship between Singapore Technologies pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Singapore Technologies Engineering.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Singapore Pink Sheet
Singapore Technologies financial ratios help investors to determine whether Singapore Pink Sheet 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 Singapore with respect to the benefits of owning Singapore Technologies security.