Information (Thailand) Market Value
| ICN Stock | THB 2.16 0.04 1.82% |
| Symbol | Information |
Information '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 Information'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 Information.
| 12/14/2022 |
| 12/03/2024 |
If you would invest 0.00 in Information on December 14, 2022 and sell it all today you would earn a total of 0.00 from holding Information and Communication or generate 0.0% return on investment in Information over 720 days. Information is related to or competes with Hana Microelectronics, Ekachai Medical, Megachem Public, Diamond Building, and Intouch Holdings. Information and Communication Networks Public Company Limited provides telecommunication system integration services in ... More
Information 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 Information'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 Information and Communication upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.19 | |||
| Information Ratio | 0.0084 | |||
| Maximum Drawdown | 15.28 | |||
| Value At Risk | (2.64) | |||
| Potential Upside | 3.96 |
Information Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Information's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Information's standard deviation. In reality, there are many statistical measures that can use Information historical prices to predict the future Information's volatility.| Risk Adjusted Performance | 0.0528 | |||
| Jensen Alpha | 0.1212 | |||
| Total Risk Alpha | (0.22) | |||
| Sortino Ratio | 0.0093 | |||
| Treynor Ratio | 1.15 |
Information and Comm Backtested Returns
Information and Comm holds Efficiency (Sharpe) Ratio of -0.0293, which attests that the entity had a -0.0293% return per unit of risk over the last 3 months. Information and Comm exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Information's Risk Adjusted Performance of 0.0528, downside deviation of 2.19, and Market Risk Adjusted Performance of 1.16 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.12, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Information's returns are expected to increase less than the market. However, during the bear market, the loss of holding Information is expected to be smaller as well. At this point, Information and Comm has a negative expected return of -0.059%. Please make sure to check out Information's coefficient of variation, jensen alpha, and the relationship between the downside deviation and standard deviation , to decide if Information and Comm performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.72 |
Good predictability
Information and Communication has good predictability. Overlapping area represents the amount of predictability between Information time series from 14th of December 2022 to 9th of December 2023 and 9th of December 2023 to 3rd 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 Information and Comm price movement. The serial correlation of 0.72 indicates that around 72.0% of current Information price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.72 | |
| Spearman Rank Test | 0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Information and Comm lagged returns against current returns
Autocorrelation, which is Information 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 Information's stock expected returns. We can calculate the autocorrelation of Information returns to help us make a trade decision. For example, suppose you find that Information 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 |
Information 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 Information stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Information stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Information stock over time.
Current vs Lagged Prices |
| Timeline |
Information Lagged Returns
When evaluating Information's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Information stock have on its future price. Information 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, Information autocorrelation shows the relationship between Information stock current value and its past values and can show if there is a momentum factor associated with investing in Information and Communication.
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 Information Stock
Information financial ratios help investors to determine whether Information 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 Information with respect to the benefits of owning Information security.