Bank Of Montreal Etf Market Value
| NRGD Etf | USD 19.90 0.14 0.71% |
| 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.
| 04/21/2025 |
| 07/20/2025 |
If you would invest 0.00 in Bank of Montreal on April 21, 2025 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 90 days. Bank of Montreal is related to or competes with Bank of Montreal, MicroSectors FANG, Bank of Montreal, Bank of Montreal, and ProShares UltraShort. The notes are senior unsecured medium-term notes issued by Bank of Montreal with a return linked to a three times levera... 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.
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 19.61 | |||
| Value At Risk | (8.94) | |||
| Potential Upside | 6.37 |
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 | (0.15) | |||
| Jensen Alpha | (0.61) | |||
| Total Risk Alpha | (1.44) | |||
| Treynor Ratio | 0.5939 |
Bank of Montreal Backtested Returns
Bank of Montreal secures Sharpe Ratio (or Efficiency) of -0.17, which signifies that the etf had a -0.17 % return per unit of risk over the last 3 months. Bank of Montreal exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Bank of Montreal's Standard Deviation of 4.66, mean deviation of 3.84, and Risk Adjusted Performance of (0.15) to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of -1.33, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Bank of Montreal are expected to decrease by larger amounts. On the other hand, during market turmoil, Bank of Montreal is expected to outperform it.
Auto-correlation | 0.46 |
Average predictability
Bank of Montreal has average predictability. Overlapping area represents the amount of predictability between Bank of Montreal time series from 21st of April 2025 to 5th of June 2025 and 5th of June 2025 to 20th of July 2025. 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 0.46 indicates that about 46.0% of current Bank of Montreal price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.46 | |
| Spearman Rank Test | 0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 4.1 |
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 |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Bank of Montreal offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Bank of Montreal's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Bank Of Montreal Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Bank Of Montreal Etf: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 information on how to trade Bank Etf refer to our How to Trade Bank Etf guide.You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
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.