Bank of Montreal Stock Forecast - 4 Period Moving Average
| BMO Stock | USD 94.92 0.29 0.31% |
The 4 Period Moving Average forecasted value of Bank of Montreal on the next trading day is expected to be 94.63 with a mean absolute deviation of 0.93 and the sum of the absolute errors of 52.92. Bank Stock Forecast is based on your current time horizon. Although Bank of Montreal's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Bank of Montreal's systematic risk associated with finding meaningful patterns of Bank of Montreal fundamentals over time.
Bank |
Bank of Montreal 4 Period Moving Average Price Forecast For the 26th of November
Given 90 days horizon, the 4 Period Moving Average forecasted value of Bank of Montreal on the next trading day is expected to be 94.63 with a mean absolute deviation of 0.93, mean absolute percentage error of 1.33, and the sum of the absolute errors of 52.92.Please note that although there have been many attempts to predict Bank Stock prices using its time series forecasting, we generally do not recommend 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).
Bank of Montreal Stock Forecast Pattern
| Backtest Bank of Montreal | Bank of Montreal Price Prediction | Buy or Sell Advice |
Bank of Montreal Forecasted Value
In the context of forecasting Bank of Montreal's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Bank of Montreal's downside and upside margins for the forecasting period are 93.73 and 95.52, respectively. We have considered Bank of Montreal's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Bank of Montreal stock data series using in forecasting. Note that when a statistical model is used to represent Bank of Montreal 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 | 111.0416 |
| Bias | Arithmetic mean of the errors | -0.5629 |
| MAD | Mean absolute deviation | 0.9285 |
| MAPE | Mean absolute percentage error | 0.0103 |
| SAE | Sum of the absolute errors | 52.9225 |
Predictive Modules for Bank of Montreal
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bank of Montreal. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Other Forecasting Options for Bank of Montreal
For every potential investor in Bank, whether a beginner or expert, Bank of Montreal's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Bank Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Bank. Basic forecasting techniques help filter out the noise by identifying Bank of Montreal's price trends.Bank of Montreal Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Bank of Montreal stock to make a market-neutral strategy. Peer analysis of Bank of Montreal could also be used in its relative valuation, which is a method of valuing Bank of Montreal by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Bank of Montreal Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Bank of Montreal's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Bank of Montreal's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
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| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Bank of Montreal Market Strength Events
Market strength indicators help investors to evaluate how Bank of Montreal stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Bank of Montreal shares will generate the highest return on investment. By undertsting and applying Bank of Montreal stock market strength indicators, traders can identify Bank of Montreal entry and exit signals to maximize returns.
Bank of Montreal Risk Indicators
The analysis of Bank of Montreal's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Bank of Montreal's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bank stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.8254 | |||
| Semi Deviation | 1.17 | |||
| Standard Deviation | 1.2 | |||
| Variance | 1.43 | |||
| Downside Variance | 1.94 | |||
| Semi Variance | 1.37 | |||
| Expected Short fall | (0.93) |
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.
Pair Trading with Bank of Montreal
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Bank of Montreal position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bank of Montreal will appreciate offsetting losses from the drop in the long position's value.Moving together with Bank Stock
| 0.77 | C | Citigroup Aggressive Push | PairCorr |
| 0.92 | BK | Bank of New York Fiscal Year End 10th of January 2025 | PairCorr |
| 0.77 | CM | Canadian Imperial Bank Fiscal Year End 5th of December 2024 | PairCorr |
Moving against Bank Stock
| 0.71 | ING | ING Group NV | PairCorr |
| 0.48 | TD | Toronto Dominion Bank Fiscal Year End 5th of December 2024 | PairCorr |
The ability to find closely correlated positions to Bank of Montreal could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bank of Montreal when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Bank of Montreal - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Bank of Montreal to buy it.
The correlation of Bank of Montreal is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Bank of Montreal moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bank of Montreal moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Bank of Montreal can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Historical Fundamental Analysis of Bank of Montreal to cross-verify your projections. To learn how to invest in Bank Stock, please use our How to Invest in Bank of Montreal guide.You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
Is Diversified Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Bank of Montreal. If investors know Bank will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Bank of Montreal listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.17 | Dividend Share 6.04 | Earnings Share 6.22 | Revenue Per Share 43.316 | Quarterly Revenue Growth (0.04) |
The market value of Bank of Montreal is measured differently than its book value, which is the value of Bank that is recorded on the company's balance sheet. Investors also form their own opinion of Bank of Montreal's value that differs from its market value or its book value, called intrinsic value, which is Bank of Montreal's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Bank of Montreal's market value can be influenced by many factors that don't directly affect Bank of Montreal's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Bank of Montreal's value and its price as these two are different measures arrived at by different means. Investors typically determine if Bank of Montreal is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Bank of Montreal's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.