Bank Of Montreal Stock Market Value
| BMO Stock | USD 100.73 0.01 0.01% |
| Symbol | Bank |
Bank of Montreal Price To Book Ratio
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 | Earnings Share 6.71 | Revenue Per Share 43.316 | Quarterly Revenue Growth (0.04) | Return On Assets 0.005 |
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.
Bank of Montreal 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Bank of Montreal's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Bank of Montreal.
| 11/12/2024 |
| 12/12/2024 |
If you would invest 0.00 in Bank of Montreal on November 12, 2024 and sell it all today you would earn a total of 0.00 from holding Bank of Montreal or generate 0.0% return on investment in Bank of Montreal over 30 days. Bank of Montreal is related to or competes with Citigroup, Toronto Dominion, Nu Holdings, HSBC Holdings, Canadian Imperial, Bank of Nova Scotia. Bank of Montreal provides diversified financial services primarily in North America More
Bank of Montreal Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Bank of Montreal's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Bank of Montreal upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7744 | |||
| Information Ratio | 0.1753 | |||
| Maximum Drawdown | 7.04 | |||
| Value At Risk | (0.97) | |||
| Potential Upside | 2.06 |
Bank of Montreal Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bank of Montreal's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bank of Montreal's standard deviation. In reality, there are many statistical measures that can use Bank of Montreal historical prices to predict the future Bank of Montreal's volatility.| Risk Adjusted Performance | 0.2107 | |||
| Jensen Alpha | 0.2492 | |||
| Total Risk Alpha | 0.1332 | |||
| Sortino Ratio | 0.2526 | |||
| Treynor Ratio | 0.5827 |
Bank of Montreal Backtested Returns
Bank of Montreal appears to be very steady, given 3 months investment horizon. Bank of Montreal secures Sharpe Ratio (or Efficiency) of 0.25, which signifies that the company had a 0.25% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Bank of Montreal, which you can use to evaluate the volatility of the firm. Please makes use of Bank of Montreal's Downside Deviation of 0.7744, risk adjusted performance of 0.2107, and Mean Deviation of 0.8083 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Bank of Montreal holds a performance score of 19. The firm shows a Beta (market volatility) of 0.53, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Bank of Montreal's returns are expected to increase less than the market. However, during the bear market, the loss of holding Bank of Montreal is expected to be smaller as well. Please check Bank of Montreal's semi variance, and the relationship between the treynor ratio and daily balance of power , to make a quick decision on whether Bank of Montreal's price patterns will revert.
Auto-correlation | 0.70 |
Good predictability
Bank of Montreal has good predictability. Overlapping area represents the amount of predictability between Bank of Montreal time series from 12th of November 2024 to 27th of November 2024 and 27th of November 2024 to 12th of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Bank of Montreal price movement. The serial correlation of 0.7 indicates that around 70.0% of current Bank of Montreal price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 9.44 |
Bank of Montreal lagged returns against current returns
Autocorrelation, which is Bank of Montreal stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Bank of Montreal's stock expected returns. We can calculate the autocorrelation of Bank of Montreal returns to help us make a trade decision. For example, suppose you find that Bank of Montreal has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Bank of Montreal regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Bank of Montreal stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bank of Montreal stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Bank of Montreal stock over time.
Current vs Lagged Prices |
| Timeline |
Bank of Montreal Lagged Returns
When evaluating Bank of Montreal's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bank of Montreal stock have on its future price. Bank of Montreal autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Bank of Montreal autocorrelation shows the relationship between Bank of Montreal stock current value and its past values and can show if there is a momentum factor associated with investing in Bank of Montreal.
Regressed Prices |
| Timeline |
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
| 0.9 | C | Citigroup Fiscal Year End 10th of January 2025 | PairCorr |
| 0.87 | CM | Canadian Imperial Bank | PairCorr |
| 0.72 | RY | Royal Bank | PairCorr |
| 0.61 | BML-PG | Bank of America | PairCorr |
Moving against Bank Stock
| 0.79 | JPM-PM | JPMorgan Chase | PairCorr |
| 0.78 | TD | Toronto Dominion Bank | PairCorr |
| 0.77 | ING | ING Group NV | PairCorr |
| 0.76 | JPM-PL | JPMorgan Chase | PairCorr |
| 0.74 | JPM-PK | JPMorgan Chase | 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 Bank of Montreal Correlation, Bank of Montreal Volatility and Bank of Montreal Alpha and Beta module to complement your research on Bank of Montreal. To learn how to invest in Bank Stock, please use our How to Invest in Bank of Montreal guide.You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
Bank of Montreal technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.