Bmo Equal Weight Etf Market Value
| ZUH Etf | CAD 66.53 0.16 0.24% |
| Symbol | BMO |
BMO Equal '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 Equal'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 Equal.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in BMO Equal on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding BMO Equal Weight or generate 0.0% return on investment in BMO Equal over 30 days. BMO Equal is related to or competes with BMO Equal, BMO Global, IShares Global, BMO Low, and BMO NASDAQ. The BMO Equal Weight US Health Care Hedged to CAD Index ETF has been designed to replicate, to the extent possible, the ... More
BMO Equal 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 Equal'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 Equal Weight upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 3.59 | |||
| Value At Risk | (1.06) | |||
| Potential Upside | 1.17 |
BMO Equal Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BMO Equal's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BMO Equal's standard deviation. In reality, there are many statistical measures that can use BMO Equal historical prices to predict the future BMO Equal's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.13) | |||
| Treynor Ratio | (0.06) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of BMO Equal'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 Equal Weight Backtested Returns
BMO Equal Weight secures Sharpe Ratio (or Efficiency) of -0.0841, which signifies that the etf had a -0.0841% return per unit of risk over the last 3 months. BMO Equal Weight exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm BMO Equal's mean deviation of 0.5812, and Risk Adjusted Performance of (0.04) to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.99, which signifies possible diversification benefits within a given portfolio. BMO Equal returns are very sensitive to returns on the market. As the market goes up or down, BMO Equal is expected to follow.
Auto-correlation | 0.65 |
Good predictability
BMO Equal Weight has good predictability. Overlapping area represents the amount of predictability between BMO Equal time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Equal Weight price movement. The serial correlation of 0.65 indicates that roughly 65.0% of current BMO Equal price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.65 | |
| Spearman Rank Test | 0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 2.08 |
BMO Equal Weight lagged returns against current returns
Autocorrelation, which is BMO Equal 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 Equal's etf expected returns. We can calculate the autocorrelation of BMO Equal returns to help us make a trade decision. For example, suppose you find that BMO Equal 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 Equal 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 Equal etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BMO Equal etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BMO Equal etf over time.
Current vs Lagged Prices |
| Timeline |
BMO Equal Lagged Returns
When evaluating BMO Equal's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BMO Equal etf have on its future price. BMO Equal 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 Equal autocorrelation shows the relationship between BMO Equal etf current value and its past values and can show if there is a momentum factor associated with investing in BMO Equal Weight.
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 Equal 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 Equal's short interest history, or implied volatility extrapolated from BMO Equal options trading.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out BMO Equal Correlation, BMO Equal Volatility and BMO Equal Alpha and Beta module to complement your research on BMO Equal. Note that the BMO Equal Weight information on this page should be used as a complementary analysis to other BMO Equal's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
BMO Equal 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.