Stock Exchange (Thailand) Market Value
| SET Index | 1,361 3.64 0.27% |
| Symbol | Stock |
Stock Exchange '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 Stock Exchange's index 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 Stock Exchange.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Stock Exchange on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Stock Exchange Of or generate 0.0% return on investment in Stock Exchange over 30 days.
Stock Exchange 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 Stock Exchange's index 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 Stock Exchange Of upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 3.98 | |||
| Value At Risk | (0.91) | |||
| Potential Upside | 1.18 |
Stock Exchange Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Stock Exchange's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Stock Exchange's standard deviation. In reality, there are many statistical measures that can use Stock Exchange historical prices to predict the future Stock Exchange's volatility.| Risk Adjusted Performance | (0.01) | |||
| Total Risk Alpha | (0.12) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Stock Exchange'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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Stock Exchange. Your research has to be compared to or analyzed against Stock Exchange's peers to derive any actionable benefits. When done correctly, Stock Exchange's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Stock Exchange.
Stock Exchange Backtested Returns
Stock Exchange owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0087, which indicates the index had a -0.0087% return per unit of risk over the last 3 months. Stock Exchange Of exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and Stock Exchange are completely uncorrelated.
Auto-correlation | 0.04 |
Virtually no predictability
Stock Exchange Of has virtually no predictability. Overlapping area represents the amount of predictability between Stock Exchange time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th of April 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 Stock Exchange price movement. The serial correlation of 0.04 indicates that only as little as 4.0% of current Stock Exchange price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.04 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 474.45 |
Stock Exchange lagged returns against current returns
Autocorrelation, which is Stock Exchange index'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 Stock Exchange's index expected returns. We can calculate the autocorrelation of Stock Exchange returns to help us make a trade decision. For example, suppose you find that Stock Exchange has exhibited high autocorrelation historically, and you observe that the index 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 |
Stock Exchange 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 Stock Exchange index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Stock Exchange index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Stock Exchange index over time.
Current vs Lagged Prices |
| Timeline |
Stock Exchange Lagged Returns
When evaluating Stock Exchange's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Stock Exchange index have on its future price. Stock Exchange 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, Stock Exchange autocorrelation shows the relationship between Stock Exchange index current value and its past values and can show if there is a momentum factor associated with investing in Stock Exchange Of.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any index could be tightly coupled with the direction of predictive economic indicators such as signals in gross domestic product. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Stock Exchange technical index analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, index market cycles, or different charting patterns.