Telecoms Informatics (Vietnam) Market Value
| ICT Stock | 14,000 100.00 0.71% |
| Symbol | Telecoms |
Telecoms Informatics '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 Telecoms Informatics' 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 Telecoms Informatics.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Telecoms Informatics on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Telecoms Informatics JSC or generate 0.0% return on investment in Telecoms Informatics over 90 days. Telecoms Informatics is related to or competes with PetroVietnam Transportation, Ha Noi, Techcom Vietnam, Elcom Technology, Petrovietnam Technical, and Long Giang. More
Telecoms Informatics 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 Telecoms Informatics' 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 Telecoms Informatics JSC upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.64 | |||
| Information Ratio | 0.1687 | |||
| Maximum Drawdown | 11.29 | |||
| Value At Risk | (2.48) | |||
| Potential Upside | 3.75 |
Telecoms Informatics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Telecoms Informatics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Telecoms Informatics' standard deviation. In reality, there are many statistical measures that can use Telecoms Informatics historical prices to predict the future Telecoms Informatics' volatility.| Risk Adjusted Performance | 0.1018 | |||
| Jensen Alpha | 0.2174 | |||
| Total Risk Alpha | 0.398 | |||
| Sortino Ratio | 0.177 | |||
| Treynor Ratio | 0.559 |
Telecoms Informatics JSC Backtested Returns
As of now, Telecoms Stock is very steady. Telecoms Informatics JSC 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 have found twenty-nine technical indicators for Telecoms Informatics JSC, which you can use to evaluate the volatility of the company. Please validate Telecoms Informatics' Semi Deviation of 1.28, risk adjusted performance of 0.1018, and Coefficient Of Variation of 898.81 to confirm if the risk estimate we provide is consistent with the expected return of 0.19%. Telecoms Informatics has a performance score of 8 on a scale of 0 to 100. The entity has a beta of 0.33, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Telecoms Informatics' returns are expected to increase less than the market. However, during the bear market, the loss of holding Telecoms Informatics is expected to be smaller as well. Telecoms Informatics JSC right now has a risk of 1.73%. Please validate Telecoms Informatics sortino ratio, skewness, price action indicator, as well as the relationship between the potential upside and rate of daily change , to decide if Telecoms Informatics will be following its existing price patterns.
Auto-correlation | 0.48 |
Average predictability
Telecoms Informatics JSC has average predictability. Overlapping area represents the amount of predictability between Telecoms Informatics time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th 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 Telecoms Informatics JSC price movement. The serial correlation of 0.48 indicates that about 48.0% of current Telecoms Informatics price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.48 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 21.6 K |
Telecoms Informatics JSC lagged returns against current returns
Autocorrelation, which is Telecoms Informatics 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 Telecoms Informatics' stock expected returns. We can calculate the autocorrelation of Telecoms Informatics returns to help us make a trade decision. For example, suppose you find that Telecoms Informatics 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 |
Telecoms Informatics 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 Telecoms Informatics stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Telecoms Informatics stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Telecoms Informatics stock over time.
Current vs Lagged Prices |
| Timeline |
Telecoms Informatics Lagged Returns
When evaluating Telecoms Informatics' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Telecoms Informatics stock have on its future price. Telecoms Informatics 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, Telecoms Informatics autocorrelation shows the relationship between Telecoms Informatics stock current value and its past values and can show if there is a momentum factor associated with investing in Telecoms Informatics JSC.
Regressed Prices |
| Timeline |
Pair Trading with Telecoms Informatics
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Telecoms Informatics position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Telecoms Informatics will appreciate offsetting losses from the drop in the long position's value.Moving against Telecoms Stock
The ability to find closely correlated positions to Telecoms Informatics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Telecoms Informatics when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Telecoms Informatics - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Telecoms Informatics JSC to buy it.
The correlation of Telecoms Informatics is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Telecoms Informatics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Telecoms Informatics JSC moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Telecoms Informatics can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Telecoms Stock
Telecoms Informatics financial ratios help investors to determine whether Telecoms 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 Telecoms with respect to the benefits of owning Telecoms Informatics security.