Bank of Montreal Etf Forward View - Simple Exponential Smoothing
| NRGD Etf | USD 30.30 -1.22 -3.87% |
This page provides Simple Exponential Smoothing reference data for Bank of Montreal, calculated from historical daily prices. The forecast output and associated deviation metrics are shown for informational use.
The Simple Exponential Smoothing forecasted value of Bank of Montreal on the next trading day is expected to be 30.33 with a mean absolute deviation of 2.04 and the sum of the absolute errors of 122.35.This simple exponential smoothing model begins by setting Bank of Montreal forecast for the second period equal to the observation of the first period. In other words, recent Bank of Montreal observations are given relatively more weight in forecasting than the older observations. Bank of Montreal's Simple Exponential Smoothing reference data is provided for informational and analytical purposes and does not constitute a trading recommendation. Simple Exponential Smoothing Price Forecast For the 19th of March
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Bank of Montreal on the next trading day is expected to be 30.33 with a mean absolute deviation of 2.04 , mean absolute percentage error of 7.47 , and the sum of the absolute errors of 122.35 .Please note that although there have been many attempts to predict Bank 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 Bank of Montreal's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Etf Forecast Pattern
| Backtest Bank of Montreal | Bank of Montreal Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Bank of Montreal uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. The projected forecast band currently runs from roughly 25.88 on the downside to about 34.77 on the upside.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Bank of Montreal etf data series using in forecasting. Note that when a statistical model is used to represent Bank of Montreal 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 | 118.2835 |
| Bias | Arithmetic mean of the errors | 1.0561 |
| MAD | Mean absolute deviation | 2.0391 |
| MAPE | Mean absolute percentage error | 0.038 |
| SAE | Sum of the absolute errors | 122.3453 |
Other Forecasting Options for Bank of Montreal
The price movement of Bank is a central concern for all potential investors, regardless of their level of expertise. Bank Etf price charts can be difficult to interpret due to the noise present in the data.Bank of Montreal Related Equities
The following equities are related to Bank of Montreal within the Trading--Inverse Equity space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Bank of Montreal 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 |
Bank of Montreal Market Strength Events
Market strength indicators applied to Bank of Montreal etf help investors assess the relative momentum and resilience of the security in different market environments. By using these indicators, traders can make more informed decisions about when to buy or sell Bank of Montreal.
Bank of Montreal Risk Indicators
Risk indicator analysis for Bank of Montreal is essential for accurately projecting its future price trajectory. By identifying the level of risk embedded in Bank of Montreal's investment, investors can make informed decisions about position sizing and risk mitigation.
| Mean Deviation | 3.62 | |||
| Standard Deviation | 4.45 | |||
| Variance | 19.77 |
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 Bank of Montreal
Coverage intensity for Bank of Montreal matters because narrative visibility can influence sentiment, participation, and volatility around the name. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
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More Resources for Bank Etf Analysis
A comprehensive view of Bank of Montreal starts with financial statements and ratio context. Ratios and trend metrics help frame Bank of Montreal's operating context across reporting periods. Key reports that frame Bank of Montreal Etf are listed below:Cross-verify projections for Bank of Montreal using Historical Fundamental Analysis of Bank of Montreal. The historical view provides additional context. To learn how to invest in Bank Etf, please use our How to Invest in Bank of Montreal guide.Bank of Montreal information on this page supports broader research rather than acting as a stand-alone signal. The supplemental views below help investors decide how Bank of Montreal complements or overlaps with existing portfolio holdings. You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
Investors evaluate Bank of Montreal using market value and book value, each describing different facets of the business. The intrinsic value concept focuses on underlying worth, which can diverge from market price and book value. Valuation work aligns these measures into a single context.
Note that Bank of Montreal's intrinsic value and market price are different measures derived from different inputs. Context can include financial performance, operating efficiency, market trends, and peer comparisons. Bank of Montreal's trading price represents the transaction level agreed by market participants.