Bmo Msci China Etf Market Value
| ZCH Etf | CAD 12.93 0.32 2.54% |
| Symbol | BMO |
BMO MSCI '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 MSCI'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 MSCI.
| 05/06/2022 |
| 04/25/2024 |
If you would invest 0.00 in BMO MSCI on May 6, 2022 and sell it all today you would earn a total of 0.00 from holding BMO MSCI China or generate 0.0% return on investment in BMO MSCI over 720 days. BMO MSCI is related to or competes with IShares India, IShares MSCI, IShares Global, and IShares IG. The investment seeks to replicate, to the extent possible, the performance of a broad Chinese equity markets index, net ... More
BMO MSCI 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 MSCI'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 MSCI China upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.32 | |||
| Information Ratio | 0.0714 | |||
| Maximum Drawdown | 8.49 | |||
| Value At Risk | (2.20) | |||
| Potential Upside | 2.53 |
BMO MSCI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BMO MSCI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BMO MSCI's standard deviation. In reality, there are many statistical measures that can use BMO MSCI historical prices to predict the future BMO MSCI's volatility.| Risk Adjusted Performance | 0.0858 | |||
| Jensen Alpha | 0.1533 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0838 | |||
| Treynor Ratio | 0.414 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of BMO MSCI'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 MSCI China Backtested Returns
We consider BMO MSCI not too volatile. BMO MSCI China secures Sharpe Ratio (or Efficiency) of 0.0809, which signifies that the etf had a 0.0809% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for BMO MSCI China, which you can use to evaluate the volatility of the entity. Please confirm BMO MSCI's risk adjusted performance of 0.0858, and Mean Deviation of 1.18 to double-check if the risk estimate we provide is consistent with the expected return of 0.12%. The etf shows a Beta (market volatility) of 0.46, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, BMO MSCI's returns are expected to increase less than the market. However, during the bear market, the loss of holding BMO MSCI is expected to be smaller as well.
Auto-correlation | -0.31 |
Poor reverse predictability
BMO MSCI China has poor reverse predictability. Overlapping area represents the amount of predictability between BMO MSCI time series from 6th of May 2022 to 1st of May 2023 and 1st of May 2023 to 25th 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 MSCI China price movement. The serial correlation of -0.31 indicates that nearly 31.0% of current BMO MSCI price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.31 | |
| Spearman Rank Test | -0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.85 |
BMO MSCI China lagged returns against current returns
Autocorrelation, which is BMO MSCI 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 MSCI's etf expected returns. We can calculate the autocorrelation of BMO MSCI returns to help us make a trade decision. For example, suppose you find that BMO MSCI 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 MSCI 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 MSCI etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BMO MSCI etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BMO MSCI etf over time.
Current vs Lagged Prices |
| Timeline |
BMO MSCI Lagged Returns
When evaluating BMO MSCI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BMO MSCI etf have on its future price. BMO MSCI 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 MSCI autocorrelation shows the relationship between BMO MSCI etf current value and its past values and can show if there is a momentum factor associated with investing in BMO MSCI China.
Regressed Prices |
| Timeline |
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 MSCI Correlation, BMO MSCI Volatility and BMO MSCI Alpha and Beta module to complement your research on BMO MSCI. Note that the BMO MSCI China information on this page should be used as a complementary analysis to other BMO MSCI'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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
BMO MSCI 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.