IGM Financial Stock Forward View
| IGM Stock | CAD 65.12 1.17 1.83% |
This page provides Naive Prediction reference data for IGM Financial, calculated from historical daily prices. The model output shown here is derived from IGM Financial's historical price series and is provided for informational purposes.
The Naive Prediction forecasted value of IGM Financial on the next trading day is expected to be 64.35 with a mean absolute deviation of 1.00 and the sum of the absolute errors of 61.78.This model is not at all useful as a medium-long range forecasting tool of IGM Financial. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict IGM Financial. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights. The Naive Prediction reference information for IGM Financial is based on available price data and is intended for informational purposes. Naive Prediction Price Forecast For the 27th of March
Given 90 days horizon, the Naive Prediction forecasted value of IGM Financial on the next trading day is expected to be 64.35 with a mean absolute deviation of 1.00 , mean absolute percentage error of 2.03 , and the sum of the absolute errors of 61.78 .Please note that although there have been many attempts to predict IGM 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 IGM Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest IGM Financial | IGM Financial Price Prediction | Research Analysis |
Forecasted Value
Forecasting IGM Financial for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. At the moment, the model places downside around 62.32 and upside around 66.38 for the forecasting period.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of IGM Financial stock data series using in forecasting. Note that when a statistical model is used to represent IGM Financial 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 | 120.6581 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.9964 |
| MAPE | Mean absolute percentage error | 0.0153 |
| SAE | Sum of the absolute errors | 61.7788 |
Other Forecasting Options for IGM Financial
The autocorrelation structure of IGM Financial's daily returns reveals whether IGM exhibits momentum, mean-reversion, or random-walk behavior. Separating these elements helps distinguish persistent directional moves from temporary noise in IGM Stock price data.IGM Financial Related Equities
These stocks within the Financials space are often compared to IGM Financial by analysts and fund managers in the sector. Market cap and total value checks frame IGM Financial's size within the competitive field.
| Risk & Return | Correlation |
IGM Financial Market Strength Events
Market strength indicators applied to IGM Financial stock help assess momentum and resilience across environments. These indicators support informed market timing decisions when analyzing IGM Financial.
| Accumulation Distribution | 12481.08 | |||
| Daily Balance Of Power | 1.017391 | |||
| Rate Of Daily Change | 1.02 | |||
| Day Median Price | 65.05 | |||
| Day Typical Price | 65.07 | |||
| Price Action Indicator | 0.66 | |||
| Period Momentum Indicator | 1.17 | |||
| Relative Strength Index | 44.34 |
IGM Financial Risk Indicators
Risk indicator analysis for IGM Financial is essential for accurately projecting its future price trajectory. The process involves identifying the amount of risk involved in IGM Financial's investment and either accepting or mitigating it.
| Mean Deviation | 1.38 | |||
| Semi Deviation | 1.81 | |||
| Standard Deviation | 1.97 | |||
| Variance | 3.89 | |||
| Downside Variance | 3.7 | |||
| Semi Variance | 3.27 | |||
| Expected Short fall | -1.43 |
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 IGM Financial
The amount of media and story coverage tied to IGM Financial can signal where market attention is concentrating at the moment. The practical risk is that faster visibility can increase both interest and skepticism at the same time.
Other Macroaxis Stories
Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.
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IGM Financial Short Properties
Short-interest signals around IGM Financial can help investors judge whether skeptical positioning is starting to pressure price predictability and market tone. This is most valuable when investors want to know whether bearish pressure is starting to shape the market's reaction function.
| Common Stock Shares Outstanding | 237.3 M | |
| Cash And Short Term Investments | 3.7 B |
More Resources for IGM Stock Analysis
Other Information on Investing in IGM Stock
Financial ratios for IGM Financial show relationships between important financial metrics. They provide context across profit, cash flow, and overall value.