IT City (Thailand) Market Value
IT Stock | 4.46 0.06 1.36% |
Symbol | IT City |
IT City '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 IT City'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 IT City.
01/20/2023 |
| 01/09/2025 |
If you would invest 0.00 in IT City on January 20, 2023 and sell it all today you would earn a total of 0.00 from holding IT City Public or generate 0.0% return on investment in IT City over 720 days. IT City is related to or competes with Haad Thip, AAPICO Hitech, Inoue Rubber, Hana Microelectronics, and GFPT Public. More
IT City 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 IT City'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 IT City Public upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.04) | |||
Maximum Drawdown | 15.26 | |||
Value At Risk | (4.63) | |||
Potential Upside | 4.52 |
IT City Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IT City's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IT City's standard deviation. In reality, there are many statistical measures that can use IT City historical prices to predict the future IT City's volatility.Risk Adjusted Performance | (0.03) | |||
Jensen Alpha | (0.13) | |||
Total Risk Alpha | (0.13) | |||
Treynor Ratio | (0.24) |
IT City Public Backtested Returns
IT City Public retains Efficiency (Sharpe Ratio) of -0.0794, which attests that the entity had a -0.0794% return per unit of price deviation over the last 3 months. IT City exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IT City's Market Risk Adjusted Performance of (0.23), coefficient of variation of (2,447), and Information Ratio of (0.04) to validate the risk estimate we provide. The company owns a Beta (Systematic Risk) of 0.55, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, IT City's returns are expected to increase less than the market. However, during the bear market, the loss of holding IT City is expected to be smaller as well. At this point, IT City Public has a negative expected return of -0.22%. Please make sure to check out IT City's potential upside, day median price, and the relationship between the treynor ratio and accumulation distribution , to decide if IT City Public performance from the past will be repeated sooner or later.
Auto-correlation | -0.41 |
Modest reverse predictability
IT City Public has modest reverse predictability. Overlapping area represents the amount of predictability between IT City time series from 20th of January 2023 to 15th of January 2024 and 15th of January 2024 to 9th of January 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 IT City Public price movement. The serial correlation of -0.41 indicates that just about 41.0% of current IT City price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.41 | |
Spearman Rank Test | -0.55 | |
Residual Average | 0.0 | |
Price Variance | 0.73 |
IT City Public lagged returns against current returns
Autocorrelation, which is IT City 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 IT City's stock expected returns. We can calculate the autocorrelation of IT City returns to help us make a trade decision. For example, suppose you find that IT City 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 |
IT City 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 IT City stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IT City stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IT City stock over time.
Current vs Lagged Prices |
Timeline |
IT City Lagged Returns
When evaluating IT City's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IT City stock have on its future price. IT City 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, IT City autocorrelation shows the relationship between IT City stock current value and its past values and can show if there is a momentum factor associated with investing in IT City Public.
Regressed Prices |
Timeline |
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IT City financial ratios help investors to determine whether IT City 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 IT City with respect to the benefits of owning IT City security.