BMO SAMPPTSX Etf Forward View - Polynomial Regression
| ZMT Etf | CAD 113.01 2.47 2.23% |
The Polynomial Regression forecast reference data for BMO SAMPPTSX Equal is based on the equity's recent trading history. Forecast values and accuracy indicators are summarized on this page for reference. This reference information is provided for analytical context.
The Polynomial Regression forecasted value of BMO SAMPPTSX Equal on the next trading day is expected to be 106.31 with a mean absolute deviation of 3.33 and the sum of the absolute errors of 206.65.A single variable polynomial regression model attempts to put a curve through the BMO SAMPPTSX historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm The Polynomial Regression projections for BMO SAMPPTSX Equal are reference data based on historical daily prices and are provided as informational context. Polynomial Regression Price Forecast For the 27th of March
Given 90 days horizon, the Polynomial Regression forecasted value of BMO SAMPPTSX Equal on the next trading day is expected to be 106.31 with a mean absolute deviation of 3.33 , mean absolute percentage error of 17.18 , and the sum of the absolute errors of 206.65 .Please note that although there have been many attempts to predict BMO Etf 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 BMO SAMPPTSX's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Etf Forecast Pattern
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Forecasted Value
For the next trading day, Macroaxis evaluates BMO SAMPPTSX's predictive range by looking for statistically meaningful downside and upside boundaries. No forecasting approach has been shown to beat all others over time. Investors should treat any model output as a guide, not a guarantee.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of BMO SAMPPTSX etf data series using in forecasting. Note that when a statistical model is used to represent BMO SAMPPTSX etf, 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 | 122.7922 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 3.3331 |
| MAPE | Mean absolute percentage error | 0.0271 |
| SAE | Sum of the absolute errors | 206.6525 |
Other Forecasting Options for BMO SAMPPTSX
Volatility clustering is a well-documented feature of BMO Etf price data where periods of large moves tend to follow other large moves. When BMO SAMPPTSX's RSI reaches extreme levels, it often precedes a short-term price correction or consolidation. Seasonal patterns in BMO SAMPPTSX's returns can persist when driven by structural factors like earnings calendars or index rebalancing.BMO SAMPPTSX Related Equities
These stocks are related to BMO SAMPPTSX within the Natural Resources Equity space and can be used for peer review, pricing, or spreading risk. Profit comparisons show whether BMO SAMPPTSX earns above or below average returns next to its peers. Firms that trade at big discounts to peers on core metrics may be worth more research.
| Risk & Return | Correlation |
BMO SAMPPTSX Market Strength Events
Analyzing market strength indicators for BMO SAMPPTSX enables investors to understand relative etf momentum. These tools help identify favorable windows for position changes in BMO SAMPPTSX Equal. Market strength indicators support more precise timing of BMO SAMPPTSX Equal positions across market cycles.
BMO SAMPPTSX Risk Indicators
Identifying and analyzing BMO SAMPPTSX's key risk indicators is a foundational step in projecting how its price may evolve. This process involves measuring the level of investment risk in BMO SAMPPTSX's and determining how best to manage it. Studying BMO SAMPPTSX's risk indicators helps investors understand the risk level of bmo etf.
| Mean Deviation | 2.34 | |||
| Semi Deviation | 3.08 | |||
| Standard Deviation | 2.96 | |||
| Variance | 8.79 | |||
| Downside Variance | 11.55 | |||
| Semi Variance | 9.47 | |||
| Expected Short fall | -2.29 |
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 BMO SAMPPTSX
The amount of media and story coverage tied to BMO SAMPPTSX Equal can signal where market attention is concentrating at the moment. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
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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Other Information on Investing in BMO Etf
These ratios describe connections between financial data points for BMO SAMPPTSX. The data reflects the most recent reporting period available and is provided for reference.