Bmo Dividend Etf Market Value
| ZDY-U Etf | USD 29.60 0.10 0.34% |
| Symbol | BMO |
BMO Dividend '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 Dividend'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 Dividend.
| 03/19/2024 |
| 04/18/2024 |
If you would invest 0.00 in BMO Dividend on March 19, 2024 and sell it all today you would earn a total of 0.00 from holding BMO Dividend ETF or generate 0.0% return on investment in BMO Dividend over 30 days. BMO Dividend is related to or competes with IShares SPTSX, IShares Core, IShares Core, BMO Aggregate, IShares Canadian, BMO SPTSX, and BMO SP. BMO US Dividend ETF seeks to provide exposure to a yield weighted portfolio of U.S More
BMO Dividend 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 Dividend'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 Dividend ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6686 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 3.29 | |||
| Value At Risk | (0.91) | |||
| Potential Upside | 1.25 |
BMO Dividend Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BMO Dividend's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BMO Dividend's standard deviation. In reality, there are many statistical measures that can use BMO Dividend historical prices to predict the future BMO Dividend's volatility.| Risk Adjusted Performance | 0.0195 | |||
| Jensen Alpha | 0.0101 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | (0.62) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of BMO Dividend'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 Dividend ETF Backtested Returns
We consider BMO Dividend very steady. BMO Dividend ETF secures Sharpe Ratio (or Efficiency) of 0.0334, which signifies that the etf had a 0.0334% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for BMO Dividend ETF, which you can use to evaluate the volatility of the entity. Please confirm BMO Dividend's mean deviation of 0.413, and Risk Adjusted Performance of 0.0195 to double-check if the risk estimate we provide is consistent with the expected return of 0.0198%. The etf shows a Beta (market volatility) of -0.0152, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning BMO Dividend are expected to decrease at a much lower rate. During the bear market, BMO Dividend is likely to outperform the market.
Auto-correlation | -0.38 |
Poor reverse predictability
BMO Dividend ETF has poor reverse predictability. Overlapping area represents the amount of predictability between BMO Dividend time series from 19th of March 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th 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 Dividend ETF price movement. The serial correlation of -0.38 indicates that just about 38.0% of current BMO Dividend price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.38 | |
| Spearman Rank Test | -0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.17 |
BMO Dividend ETF lagged returns against current returns
Autocorrelation, which is BMO Dividend 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 Dividend's etf expected returns. We can calculate the autocorrelation of BMO Dividend returns to help us make a trade decision. For example, suppose you find that BMO Dividend 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 Dividend 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 Dividend etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BMO Dividend etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BMO Dividend etf over time.
Current vs Lagged Prices |
| Timeline |
BMO Dividend Lagged Returns
When evaluating BMO Dividend's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BMO Dividend etf have on its future price. BMO Dividend 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 Dividend autocorrelation shows the relationship between BMO Dividend etf current value and its past values and can show if there is a momentum factor associated with investing in BMO Dividend ETF.
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 Dividend 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 Dividend's short interest history, or implied volatility extrapolated from BMO Dividend options trading.
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BMO Dividend 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.