BMO SAMPP Etf Forward View - Polynomial Regression
| ZSML Etf | CAD 43.92 -0.95 -2.12% |
The forecast reference data for BMO SAMPP on this page is generated using Polynomial Regression applied to historical price observations. Projected values and error measures are included as reference material.
The Polynomial Regression forecasted value of BMO SAMPP Small on the next trading day is expected to be 43.36 with a mean absolute deviation of 0.57 and the sum of the absolute errors of 35.21.A single variable polynomial regression model attempts to put a curve through the BMO SAMPP 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 reference values for BMO SAMPP are derived from publicly available price data and should be used for informational purposes only. Polynomial Regression Price Forecast For the 22nd of March
Given 90 days horizon, the Polynomial Regression forecasted value of BMO SAMPP Small on the next trading day is expected to be 43.36 with a mean absolute deviation of 0.57 , mean absolute percentage error of 0.46 , and the sum of the absolute errors of 35.21 .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 SAMPP'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 SAMPP's predictive range by looking for statistically meaningful downside and upside boundaries. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
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 SAMPP etf data series using in forecasting. Note that when a statistical model is used to represent BMO SAMPP 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 | 119.1715 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.5678 |
| MAPE | Mean absolute percentage error | 0.0123 |
| SAE | Sum of the absolute errors | 35.2062 |
Other Forecasting Options for BMO SAMPP
Investors at all stages of experience who consider BMO must develop an understanding of BMO SAMPP's price dynamics. The noise embedded in BMO Etf price charts can create misleading signals and skew investment decisions.BMO SAMPP Related Equities
The following equities are related to BMO SAMPP within the US Small/Mid Cap Equity space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing BMO SAMPP against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
BMO SAMPP Market Strength Events
Market strength indicators applied to BMO SAMPP etf give investors a structured view of the security's momentum relative to the overall market. Using these indicators, traders can refine their timing when entering or exiting positions in BMO SAMPP Small.
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 43.92 | |||
| Day Typical Price | 43.92 | |||
| Price Action Indicator | -0.47 | |||
| Period Momentum Indicator | -0.95 |
BMO SAMPP Risk Indicators
Evaluating BMO SAMPP's risk indicators is an important step in accurately forecasting its price and assessing the suitability of an investment. Understanding the risk profile of BMO SAMPP's allows investors to make more informed decisions about position sizing and risk.
| Mean Deviation | 0.8441 | |||
| Standard Deviation | 1.1 | |||
| Variance | 1.22 |
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 BMO SAMPP
Story coverage around BMO SAMPP Small often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. A disciplined read of coverage separates durable relevance from temporary noise.
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Other Information on Investing in BMO Etf
Financial ratios reflect how major financial figures connect within BMO SAMPP. They frame financial performance across earnings, cash flow, and valuation. This format maintains consistency across different reporting periods.