Bank Of Montreal Etf Market Value
| CARU Etf | 29.10 2.27 8.46% |
| Symbol | Bank |
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 etf 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.
| 12/04/2022 |
| 11/23/2024 |
If you would invest 0.00 in Bank of Montreal on December 4, 2022 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 720 days. Bank of Montreal is related to or competes with Direxion Daily, Direxion Daily, and Direxion Daily. Bank of Montreal is entity of United States 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 etf 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 | 4.11 | |||
| Information Ratio | 0.0723 | |||
| Maximum Drawdown | 19.04 | |||
| Value At Risk | (6.77) | |||
| Potential Upside | 8.94 |
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 | 0.0871 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.24) | |||
| Sortino Ratio | 0.0754 | |||
| Treynor Ratio | 0.1135 |
Bank of Montreal Backtested Returns
Bank of Montreal appears to be not too volatile, given 3 months investment horizon. Bank of Montreal secures Sharpe Ratio (or Efficiency) of 0.0746, which signifies that the etf had a 0.0746% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Bank of Montreal, which you can use to evaluate the volatility of the entity. Please makes use of Bank of Montreal's Risk Adjusted Performance of 0.0871, downside deviation of 4.11, and Mean Deviation of 3.29 to double-check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 3.8, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Bank of Montreal will likely underperform.
Auto-correlation | 0.21 |
Weak predictability
Bank of Montreal has weak predictability. Overlapping area represents the amount of predictability between Bank of Montreal time series from 4th of December 2022 to 29th of November 2023 and 29th of November 2023 to 23rd of November 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 0.21 indicates that over 21.0% of current Bank of Montreal price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 5.88 |
Bank of Montreal lagged returns against current returns
Autocorrelation, which is Bank of Montreal etf'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 etf 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 etf 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 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bank of Montreal etf 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 etf 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 etf 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 etf 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 |
Thematic Opportunities
Explore Investment Opportunities
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. For more information on how to buy Bank Etf please use our How to Invest in Bank of Montreal guide.You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Bank of Montreal technical etf 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, etf market cycles, or different charting patterns.