Bmo Dividend Etf Market Value
ZDY Etf | CAD 47.30 0.02 0.04% |
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.
12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in BMO Dividend on December 13, 2022 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 720 days. BMO Dividend is related to or competes with BMO International, BMO Canadian, BMO Low, BMO High, and Vanguard Dividend. 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 | 0.4315 | |||
Information Ratio | 0.0285 | |||
Maximum Drawdown | 3.68 | |||
Value At Risk | (0.72) | |||
Potential Upside | 1.03 |
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 | 0.1896 | |||
Jensen Alpha | 0.1135 | |||
Total Risk Alpha | 0.0421 | |||
Sortino Ratio | 0.0408 | |||
Treynor Ratio | 0.584 |
BMO Dividend ETF Backtested Returns
As of now, BMO Etf is very steady. BMO Dividend ETF secures Sharpe Ratio (or Efficiency) of 0.24, which signifies that the etf had a 0.24% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for BMO Dividend ETF, which you can use to evaluate the volatility of the entity. Please confirm BMO Dividend's risk adjusted performance of 0.1896, and Mean Deviation of 0.4626 to double-check if the risk estimate we provide is consistent with the expected return of 0.15%. The etf shows a Beta (market volatility) of 0.25, which signifies not very significant fluctuations relative to the market. As returns on the market increase, BMO Dividend's returns are expected to increase less than the market. However, during the bear market, the loss of holding BMO Dividend is expected to be smaller as well.
Auto-correlation | 0.21 |
Weak predictability
BMO Dividend ETF has weak predictability. Overlapping area represents the amount of predictability between BMO Dividend time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 to 2nd 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 BMO Dividend ETF price movement. The serial correlation of 0.21 indicates that over 21.0% of current BMO Dividend price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.21 | |
Spearman Rank Test | 0.18 | |
Residual Average | 0.0 | |
Price Variance | 8.12 |
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 |
Pair Trading with BMO Dividend
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 BMO Dividend 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 BMO Dividend will appreciate offsetting losses from the drop in the long position's value.Moving together with BMO Etf
0.99 | VGG | Vanguard Dividend | PairCorr |
0.98 | ZWH | BMO High Dividend | PairCorr |
0.91 | VGH | Vanguard Dividend | PairCorr |
Moving against BMO Etf
The ability to find closely correlated positions to BMO Dividend could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace BMO Dividend 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 BMO Dividend - 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 BMO Dividend ETF to buy it.
The correlation of BMO Dividend 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 BMO Dividend moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BMO Dividend ETF 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 BMO Dividend 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.Other Information on Investing in BMO Etf
BMO Dividend financial ratios help investors to determine whether BMO Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in BMO with respect to the benefits of owning BMO Dividend security.