Bmo High Dividend Etf Market Value
| ZWH Etf | CAD 22.93 0.07 0.31% |
| Symbol | BMO |
BMO High '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 BMO High'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 BMO High.
| 05/05/2022 |
| 04/24/2024 |
If you would invest 0.00 in BMO High on May 5, 2022 and sell it all today you would earn a total of 0.00 from holding BMO High Dividend or generate 0.0% return on investment in BMO High over 720 days. BMO High is related to or competes with BMO Europe, BMO Covered, BMO Covered, BMO Europe, and BMO Covered. BMO US High Dividend Covered Call ETF seeks to provide exposure to the performance of a portfolio of dividend paying U.S More
BMO High 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 BMO High'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 BMO High Dividend upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4324 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 2.64 | |||
| Value At Risk | (0.59) | |||
| Potential Upside | 0.7048 |
BMO High Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BMO High's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BMO High's standard deviation. In reality, there are many statistical measures that can use BMO High historical prices to predict the future BMO High's volatility.| Risk Adjusted Performance | 0.1064 | |||
| Jensen Alpha | 0.0316 | |||
| Total Risk Alpha | 0.0119 | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.1501 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of BMO High's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
BMO High Dividend Backtested Returns
We consider BMO High very steady. BMO High Dividend secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the etf had a 0.13% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for BMO High Dividend, which you can use to evaluate the volatility of the entity. Please confirm BMO High's mean deviation of 0.3184, and Risk Adjusted Performance of 0.1064 to double-check if the risk estimate we provide is consistent with the expected return of 0.0553%. The etf shows a Beta (market volatility) of 0.45, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, BMO High's returns are expected to increase less than the market. However, during the bear market, the loss of holding BMO High is expected to be smaller as well.
Auto-correlation | 0.71 |
Good predictability
BMO High Dividend has good predictability. Overlapping area represents the amount of predictability between BMO High time series from 5th of May 2022 to 30th of April 2023 and 30th of April 2023 to 24th of April 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 BMO High Dividend price movement. The serial correlation of 0.71 indicates that around 71.0% of current BMO High price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 0.77 |
BMO High Dividend lagged returns against current returns
Autocorrelation, which is BMO High 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 BMO High's etf expected returns. We can calculate the autocorrelation of BMO High returns to help us make a trade decision. For example, suppose you find that BMO High 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 |
BMO High 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 BMO High etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BMO High etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BMO High etf over time.
Current vs Lagged Prices |
| Timeline |
BMO High Lagged Returns
When evaluating BMO High's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BMO High etf have on its future price. BMO High 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, BMO High autocorrelation shows the relationship between BMO High etf current value and its past values and can show if there is a momentum factor associated with investing in BMO High Dividend.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards BMO High in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, BMO High's short interest history, or implied volatility extrapolated from BMO High options trading.
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.Check out BMO High Correlation, BMO High Volatility and BMO High Alpha and Beta module to complement your research on BMO High. Note that the BMO High Dividend information on this page should be used as a complementary analysis to other BMO High's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
BMO High 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.