Bmo Covered Call Etf Market Value
| ZWK Etf | CAD 26.37 0.16 0.61% |
| Symbol | BMO |
BMO Covered '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 Covered'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 Covered.
| 01/06/2023 |
| 11/26/2024 |
If you would invest 0.00 in BMO Covered on January 6, 2023 and sell it all today you would earn a total of 0.00 from holding BMO Covered Call or generate 0.0% return on investment in BMO Covered over 690 days. BMO Covered is related to or competes with Brompton Global, Tech Leaders, Global Healthcare, and Brompton Flaherty. BMO COVERED is traded on Toronto Stock Exchange in Canada. More
BMO Covered 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 Covered'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 Covered Call upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.02 | |||
| Information Ratio | 0.1275 | |||
| Maximum Drawdown | 11.11 | |||
| Value At Risk | (1.62) | |||
| Potential Upside | 2.2 |
BMO Covered Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BMO Covered's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BMO Covered's standard deviation. In reality, there are many statistical measures that can use BMO Covered historical prices to predict the future BMO Covered's volatility.| Risk Adjusted Performance | 0.1683 | |||
| Jensen Alpha | 0.1974 | |||
| Total Risk Alpha | 0.0773 | |||
| Sortino Ratio | 0.1851 | |||
| Treynor Ratio | 0.3298 |
BMO Covered Call Backtested Returns
BMO Covered appears to be very steady, given 3 months investment horizon. BMO Covered Call secures Sharpe Ratio (or Efficiency) of 0.2, which signifies that the etf had a 0.2% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for BMO Covered Call, which you can use to evaluate the volatility of the entity. Please makes use of BMO Covered's risk adjusted performance of 0.1683, and Mean Deviation of 0.9314 to double-check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 0.93, which signifies possible diversification benefits within a given portfolio. BMO Covered returns are very sensitive to returns on the market. As the market goes up or down, BMO Covered is expected to follow.
Auto-correlation | -0.51 |
Good reverse predictability
BMO Covered Call has good reverse predictability. Overlapping area represents the amount of predictability between BMO Covered time series from 6th of January 2023 to 17th of December 2023 and 17th of December 2023 to 26th 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 BMO Covered Call price movement. The serial correlation of -0.51 indicates that about 51.0% of current BMO Covered price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.51 | |
| Spearman Rank Test | -0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 4.55 |
BMO Covered Call lagged returns against current returns
Autocorrelation, which is BMO Covered 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 Covered's etf expected returns. We can calculate the autocorrelation of BMO Covered returns to help us make a trade decision. For example, suppose you find that BMO Covered 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 Covered 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 Covered etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BMO Covered etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BMO Covered etf over time.
Current vs Lagged Prices |
| Timeline |
BMO Covered Lagged Returns
When evaluating BMO Covered's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BMO Covered etf have on its future price. BMO Covered 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 Covered autocorrelation shows the relationship between BMO Covered etf current value and its past values and can show if there is a momentum factor associated with investing in BMO Covered Call.
Regressed Prices |
| Timeline |
Pair Trading with BMO Covered
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 Covered 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 Covered will appreciate offsetting losses from the drop in the long position's value.Moving together with BMO Etf
| 0.8 | ZEB | BMO SPTSX Equal | PairCorr |
| 0.87 | XFN | iShares SPTSX Capped | PairCorr |
| 1.0 | ZBK | BMO Equal Weight | PairCorr |
| 0.76 | HCA | Hamilton Canadian Bank | PairCorr |
| 0.99 | ZUB | BMO Equal Weight | PairCorr |
Moving against BMO Etf
The ability to find closely correlated positions to BMO Covered 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 Covered 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 Covered - 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 Covered Call to buy it.
The correlation of BMO Covered 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 Covered moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BMO Covered Call 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 Covered 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 Covered 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 Covered security.