Bmo Aggregate Bond Etf Market Value
| ZAG Etf | CAD 13.91 0.02 0.14% |
| Symbol | BMO |
BMO Aggregate '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 Aggregate'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 Aggregate.
| 01/09/2023 |
| 11/29/2024 |
If you would invest 0.00 in BMO Aggregate on January 9, 2023 and sell it all today you would earn a total of 0.00 from holding BMO Aggregate Bond or generate 0.0% return on investment in BMO Aggregate over 690 days. BMO Aggregate is related to or competes with IShares Core, Vanguard FTSE, Vanguard Canadian, IShares Core, and IShares Core. BMO Aggregate Bond Index ETF seeks to replicate, to the extent possible, the performance of an aggregate bond index, net... More
BMO Aggregate 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 Aggregate'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 Aggregate Bond upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3335 | |||
| Information Ratio | (0.35) | |||
| Maximum Drawdown | 1.24 | |||
| Value At Risk | (0.51) | |||
| Potential Upside | 0.5806 |
BMO Aggregate Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BMO Aggregate's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BMO Aggregate's standard deviation. In reality, there are many statistical measures that can use BMO Aggregate historical prices to predict the future BMO Aggregate's volatility.| Risk Adjusted Performance | 0.0134 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.34) | |||
| Treynor Ratio | 0.0149 |
BMO Aggregate Bond Backtested Returns
As of now, BMO Etf is very steady. BMO Aggregate Bond secures Sharpe Ratio (or Efficiency) of 0.0485, which signifies that the etf had a 0.0485% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for BMO Aggregate Bond, which you can use to evaluate the volatility of the entity. Please confirm BMO Aggregate's risk adjusted performance of 0.0134, and Mean Deviation of 0.2485 to double-check if the risk estimate we provide is consistent with the expected return of 0.0157%. The etf shows a Beta (market volatility) of 0.0967, which signifies not very significant fluctuations relative to the market. As returns on the market increase, BMO Aggregate's returns are expected to increase less than the market. However, during the bear market, the loss of holding BMO Aggregate is expected to be smaller as well.
Auto-correlation | -0.56 |
Good reverse predictability
BMO Aggregate Bond has good reverse predictability. Overlapping area represents the amount of predictability between BMO Aggregate time series from 9th of January 2023 to 20th of December 2023 and 20th of December 2023 to 29th 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 Aggregate Bond price movement. The serial correlation of -0.56 indicates that roughly 56.0% of current BMO Aggregate price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.56 | |
| Spearman Rank Test | -0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
BMO Aggregate Bond lagged returns against current returns
Autocorrelation, which is BMO Aggregate 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 Aggregate's etf expected returns. We can calculate the autocorrelation of BMO Aggregate returns to help us make a trade decision. For example, suppose you find that BMO Aggregate 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 Aggregate 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 Aggregate etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BMO Aggregate etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BMO Aggregate etf over time.
Current vs Lagged Prices |
| Timeline |
BMO Aggregate Lagged Returns
When evaluating BMO Aggregate's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BMO Aggregate etf have on its future price. BMO Aggregate 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 Aggregate autocorrelation shows the relationship between BMO Aggregate etf current value and its past values and can show if there is a momentum factor associated with investing in BMO Aggregate Bond.
Regressed Prices |
| Timeline |
Pair Trading with BMO Aggregate
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 Aggregate 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 Aggregate will appreciate offsetting losses from the drop in the long position's value.Moving together with BMO Etf
| 0.99 | XBB | iShares Canadian Universe | PairCorr |
| 0.96 | ZCPB | BMO Core Plus | PairCorr |
| 0.99 | ZDB | BMO Discount Bond | PairCorr |
| 0.97 | XGB | iShares Canadian Gov | PairCorr |
Moving against BMO Etf
The ability to find closely correlated positions to BMO Aggregate 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 Aggregate 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 Aggregate - 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 Aggregate Bond to buy it.
The correlation of BMO Aggregate 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 Aggregate moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BMO Aggregate Bond 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 Aggregate 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 Aggregate 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 Aggregate security.