Telecom Italia Pink Sheet Forecast - Simple Regression
| TIIAYDelisted Stock | USD 3.27 0.02 0.61% |
The Simple Regression forecasted value of Telecom Italia SpA on the next trading day is expected to be 3.03 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 9.19. Telecom Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Telecom Italia stock prices and determine the direction of Telecom Italia SpA's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Telecom Italia's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in nation. Telecom |
Most investors in Telecom Italia cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Telecom Italia's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Telecom Italia's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through Telecom Italia price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X. Telecom Italia Simple Regression Price Forecast For the 26th of April
Given 90 days horizon, the Simple Regression forecasted value of Telecom Italia SpA on the next trading day is expected to be 3.03 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.03, and the sum of the absolute errors of 9.19.Please note that although there have been many attempts to predict Telecom Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Telecom Italia's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Telecom Italia Pink Sheet Forecast Pattern
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Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Telecom Italia pink sheet data series using in forecasting. Note that when a statistical model is used to represent Telecom Italia pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 114.6611 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1507 |
| MAPE | Mean absolute percentage error | 0.0625 |
| SAE | Sum of the absolute errors | 9.19 |
Predictive Modules for Telecom Italia
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Telecom Italia SpA. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Telecom Italia'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.
View Telecom Italia Related Equities
| Risk & Return | Correlation |
Telecom Italia Market Strength Events
Market strength indicators help investors to evaluate how Telecom Italia pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Telecom Italia shares will generate the highest return on investment. By undertsting and applying Telecom Italia pink sheet market strength indicators, traders can identify Telecom Italia SpA entry and exit signals to maximize returns.
Telecom Italia Risk Indicators
The analysis of Telecom Italia's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Telecom Italia's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting telecom pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 2.49 | |||
| Semi Deviation | 1.94 | |||
| Standard Deviation | 3.21 | |||
| Variance | 10.29 | |||
| Downside Variance | 6.15 | |||
| Semi Variance | 3.77 | |||
| Expected Short fall | (3.09) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Telecom Italia in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Telecom Italia's short interest history, or implied volatility extrapolated from Telecom Italia options trading.
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 company could be tightly coupled with the direction of predictive economic indicators such as signals in nation. Note that the Telecom Italia SpA information on this page should be used as a complementary analysis to other Telecom Italia's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
Other Consideration for investing in Telecom Pink Sheet
If you are still planning to invest in Telecom Italia SpA check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Telecom Italia's history and understand the potential risks before investing.
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