Sify Technologies Stock Forward View - Simple Regression
| SIFY Stock | USD 13.31 -0.75 -5.33% |
Sify Technologies's Simple Regression reference data is generated by applying the model to available daily closing prices. Accuracy metrics including mean absolute deviation are provided alongside the projection.
The Simple Regression forecasted value of Sify Technologies Limited on the next trading day is expected to be 14.80 with a mean absolute deviation of 0.77 and the sum of the absolute errors of 46.84.In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Sify Technologies Limited historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. Sify Technologies's Simple Regression reference data is provided for informational and analytical purposes and does not constitute a trading recommendation. Simple Regression Price Forecast For the 27th of March
Given 90 days horizon, the Simple Regression forecasted value of Sify Technologies Limited on the next trading day is expected to be 14.80 with a mean absolute deviation of 0.77 , mean absolute percentage error of 0.83 , and the sum of the absolute errors of 46.84 .Please note that although there have been many attempts to predict Sify Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Sify Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Sify Technologies | Sify Technologies Price Prediction | Research Analysis |
Forecasted Value
The next-day forecast for Sify Technologies Limited focuses on identifying predictive downside and upside bands that can frame a realistic trading range. The projected forecast band currently runs from roughly 10.71 on the downside to about 18.89 on the upside.
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 Sify Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Sify Technologies stock, 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 | 117.9285 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.7678 |
| MAPE | Mean absolute percentage error | 0.0543 |
| SAE | Sum of the absolute errors | 46.8387 |
Other Forecasting Options for Sify Technologies
Analyzing Sify Technologies' price movement through moving averages at different time horizons reveals whether short-term momentum aligns with the longer-term trend. Touches of the upper or lower band in Sify Technologies' chart can signal overbought or oversold conditions.Sify Technologies Related Equities
Investors studying Sify Technologies often look at related stocks within the Communication Services space to gauge pricing and results. Revenue and margin checks across this group help investors set expectations for Sify Technologies' results.
| Risk & Return | Correlation |
Sify Technologies Market Strength Events
Market strength indicators for Sify Technologies stock provide a framework for assessing security responsiveness. These metrics are widely used to refine market timing and identify favorable moments to trade Sify Technologies.
Sify Technologies Risk Indicators
Assessing Sify Technologies' risk indicators is a critical component of any rigorous approach to forecasting its future price. Forecasting Sify Technologies' future price accurately requires understanding and quantifying the risks present in the investment.
| Mean Deviation | 3.03 | |||
| Semi Deviation | 3.74 | |||
| Standard Deviation | 4.0 | |||
| Variance | 16.0 | |||
| Downside Variance | 16.38 | |||
| Semi Variance | 14.01 | |||
| Expected Short fall | -3.22 |
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.
Story Coverage note for Sify Technologies
Coverage intensity for Sify Technologies Limited matters because narrative visibility can influence sentiment, participation, and volatility around the name. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.
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Sify Technologies Short Properties
A short-interest review of Sify Technologies Limited provides context for understanding whether skepticism in the market is becoming more influential. The stronger read compares short sentiment with trend behavior, volume, and the broader market narrative.
| Common Stock Shares Outstanding | 72.4 M | |
| Cash And Short Term Investments | 6.3 B |