Singha Estate (Thailand) Market Value
| S-R Stock | THB 0.91 0.01 1.11% |
| Symbol | Singha |
Singha Estate '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 Singha Estate'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 Singha Estate.
| 11/24/2024 |
| 12/24/2024 |
If you would invest 0.00 in Singha Estate on November 24, 2024 and sell it all today you would earn a total of 0.00 from holding Singha Estate Public or generate 0.0% return on investment in Singha Estate over 30 days. Singha Estate is related to or competes with Frasers Property, Areeya Property, Asset Five, PINTHONG INDUSTRIAL, Arinsiri Land, and Alpha Divisions. Singha Estate Public Company Limited, together with its subsidiaries, develops and invests in real estate for rental and... More
Singha Estate 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 Singha Estate'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 Singha Estate Public upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 33.59 | |||
| Value At Risk | (2.17) | |||
| Potential Upside | 2.17 |
Singha Estate Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Singha Estate's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Singha Estate's standard deviation. In reality, there are many statistical measures that can use Singha Estate historical prices to predict the future Singha Estate's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.41) | |||
| Total Risk Alpha | (0.63) | |||
| Treynor Ratio | 0.5416 |
Singha Estate Public Backtested Returns
Singha Estate is out of control given 3 months investment horizon. Singha Estate Public 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 were able to interpolate data for twenty-three different technical indicators, which can help you to evaluate if expected returns of 14.29% are justified by taking the suggested risk. Use Singha Estate Public Coefficient Of Variation of (1,023), risk adjusted performance of (0.07), and Variance of 19.37 to evaluate company specific risk that cannot be diversified away. Singha Estate holds a performance score of 8 on a scale of zero to a hundred. The entity has a beta of -0.81, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Singha Estate are expected to decrease at a much lower rate. During the bear market, Singha Estate is likely to outperform the market. Use Singha Estate Public maximum drawdown, potential upside, kurtosis, as well as the relationship between the value at risk and skewness , to analyze future returns on Singha Estate Public.
Auto-correlation | -0.39 |
Poor reverse predictability
Singha Estate Public has poor reverse predictability. Overlapping area represents the amount of predictability between Singha Estate time series from 24th of November 2024 to 9th of December 2024 and 9th of December 2024 to 24th 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 Singha Estate Public price movement. The serial correlation of -0.39 indicates that just about 39.0% of current Singha Estate price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.39 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Singha Estate Public lagged returns against current returns
Autocorrelation, which is Singha Estate 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 Singha Estate's stock expected returns. We can calculate the autocorrelation of Singha Estate returns to help us make a trade decision. For example, suppose you find that Singha Estate 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 |
Singha Estate 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 Singha Estate stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Singha Estate stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Singha Estate stock over time.
Current vs Lagged Prices |
| Timeline |
Singha Estate Lagged Returns
When evaluating Singha Estate's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Singha Estate stock have on its future price. Singha Estate 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, Singha Estate autocorrelation shows the relationship between Singha Estate stock current value and its past values and can show if there is a momentum factor associated with investing in Singha Estate Public.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectOther Information on Investing in Singha Stock
Singha Estate financial ratios help investors to determine whether Singha 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 Singha with respect to the benefits of owning Singha Estate security.