Bmo Short Federal Etf Market Value
| ZFS Etf | CAD 13.94 0.01 0.07% |
| Symbol | BMO |
BMO Short '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 Short'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 Short.
| 01/27/2024 |
| 01/16/2026 |
If you would invest 0.00 in BMO Short on January 27, 2024 and sell it all today you would earn a total of 0.00 from holding BMO Short Federal or generate 0.0% return on investment in BMO Short over 720 days. BMO Short is related to or competes with BMO Short, TD Select, BMO Long, BMO Canadian, TD Active, BMO Equal, and IShares SP. BMO Short Federal Bond Index ETF seeks to replicate, to the extent possible, the performance of a short term federal bon... More
BMO Short 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 Short'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 Short Federal upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.91) | |||
| Maximum Drawdown | 0.7179 | |||
| Value At Risk | (0.14) | |||
| Potential Upside | 0.1437 |
BMO Short Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BMO Short's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BMO Short's standard deviation. In reality, there are many statistical measures that can use BMO Short historical prices to predict the future BMO Short's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | (0.50) |
BMO Short Federal Backtested Returns
BMO Short Federal secures Sharpe Ratio (or Efficiency) of close to zero, which signifies that the etf had a close to zero % return per unit of risk over the last 3 months. BMO Short Federal exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm BMO Short's risk adjusted performance of (0.05), and Mean Deviation of 0.085 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.022, which signifies not very significant fluctuations relative to the market. As returns on the market increase, BMO Short's returns are expected to increase less than the market. However, during the bear market, the loss of holding BMO Short is expected to be smaller as well.
Auto-correlation | 0.88 |
Very good predictability
BMO Short Federal has very good predictability. Overlapping area represents the amount of predictability between BMO Short time series from 27th of January 2024 to 21st of January 2025 and 21st of January 2025 to 16th of January 2026. 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 Short Federal price movement. The serial correlation of 0.88 indicates that approximately 88.0% of current BMO Short price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.88 | |
| Spearman Rank Test | 0.87 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
BMO Short Federal lagged returns against current returns
Autocorrelation, which is BMO Short 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 Short's etf expected returns. We can calculate the autocorrelation of BMO Short returns to help us make a trade decision. For example, suppose you find that BMO Short 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 Short 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 Short etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BMO Short etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BMO Short etf over time.
Current vs Lagged Prices |
| Timeline |
BMO Short Lagged Returns
When evaluating BMO Short's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BMO Short etf have on its future price. BMO Short 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 Short autocorrelation shows the relationship between BMO Short etf current value and its past values and can show if there is a momentum factor associated with investing in BMO Short Federal.
Regressed Prices |
| Timeline |
Pair Trading with BMO Short
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 Short 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 Short will appreciate offsetting losses from the drop in the long position's value.Moving together with BMO Etf
| 0.94 | XSB | iShares Canadian Short | PairCorr |
| 0.74 | XSH | iShares Core Canadian | PairCorr |
| 0.61 | ZCS | BMO Short Corporate | PairCorr |
| 0.92 | VSB | Vanguard Canadian Short | PairCorr |
Moving against BMO Etf
| 0.41 | ZUB | BMO Equal Weight | PairCorr |
| 0.41 | CALL | Evolve Banks Enhanced | PairCorr |
| 0.35 | ZBK | BMO Equal Weight | PairCorr |
| 0.35 | ZWK | BMO Covered Call | PairCorr |
| 0.32 | XFR | iShares Floating Rate | PairCorr |
The ability to find closely correlated positions to BMO Short 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 Short 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 Short - 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 Short Federal to buy it.
The correlation of BMO Short 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 Short moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BMO Short Federal 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 Short 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.Check out BMO Short Correlation, BMO Short Volatility and BMO Short Alpha and Beta module to complement your research on BMO Short. You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
BMO Short 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.