Ci First Asset Etf Market Value
| MXF Etf | CAD 12.13 0.11 0.92% |
| Symbol | MXF |
CI First '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 CI First'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 CI First.
| 01/28/2025 |
| 02/27/2025 |
If you would invest 0.00 in CI First on January 28, 2025 and sell it all today you would earn a total of 0.00 from holding CI First Asset or generate 0.0% return on investment in CI First over 30 days. CI First is related to or competes with NBI High, NBI Unconstrained, Mackenzie Developed, BMO Short, BMO Canadian, and Guardian Directed. The investment objective of the Can-Materials ETF is to provide unitholders, through an actively managed portfolio, as d... More
CI First 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 CI First'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 CI First Asset upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.51 | |||
| Information Ratio | 0.1301 | |||
| Maximum Drawdown | 6.25 | |||
| Value At Risk | (2.33) | |||
| Potential Upside | 2.66 |
CI First Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CI First's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CI First's standard deviation. In reality, there are many statistical measures that can use CI First historical prices to predict the future CI First's volatility.| Risk Adjusted Performance | 0.1025 | |||
| Jensen Alpha | 0.1874 | |||
| Total Risk Alpha | 0.2016 | |||
| Sortino Ratio | 0.1288 | |||
| Treynor Ratio | (1.20) |
CI First Asset Backtested Returns
CI First appears to be not too volatile, given 3 months investment horizon. CI First Asset retains Efficiency (Sharpe Ratio) of 0.14, which signifies that the etf had a 0.14 % return per unit of price deviation over the last 3 months. We have found thirty technical indicators for CI First, which you can use to evaluate the volatility of the entity. Please makes use of CI First's Standard Deviation of 1.5, market risk adjusted performance of (1.19), and Coefficient Of Variation of 755.12 to double-check if our risk estimates are consistent with your expectations. The etf owns a Beta (Systematic Risk) of -0.16, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning CI First are expected to decrease at a much lower rate. During the bear market, CI First is likely to outperform the market.
Auto-correlation | -0.64 |
Very good reverse predictability
CI First Asset has very good reverse predictability. Overlapping area represents the amount of predictability between CI First time series from 28th of January 2025 to 12th of February 2025 and 12th of February 2025 to 27th of February 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of CI First Asset price movement. The serial correlation of -0.64 indicates that roughly 64.0% of current CI First price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.64 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
CI First Asset lagged returns against current returns
Autocorrelation, which is CI First 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 CI First's etf expected returns. We can calculate the autocorrelation of CI First returns to help us make a trade decision. For example, suppose you find that CI First 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 |
CI First 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 CI First etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CI First etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CI First etf over time.
Current vs Lagged Prices |
| Timeline |
CI First Lagged Returns
When evaluating CI First's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CI First etf have on its future price. CI First 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, CI First autocorrelation shows the relationship between CI First etf current value and its past values and can show if there is a momentum factor associated with investing in CI First Asset.
Regressed Prices |
| Timeline |
Pair Trading with CI First
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 CI First 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 CI First will appreciate offsetting losses from the drop in the long position's value.Moving together with MXF Etf
Moving against MXF Etf
| 0.52 | HQD | BetaPro NASDAQ 100 | PairCorr |
| 0.43 | PMM | Purpose Multi Strategy | PairCorr |
| 0.31 | XBM | iShares SPTSX Global | PairCorr |
The ability to find closely correlated positions to CI First could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CI First 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 CI First - 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 CI First Asset to buy it.
The correlation of CI First 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 CI First moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CI First Asset 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 CI First 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 MXF Etf
CI First financial ratios help investors to determine whether MXF 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 MXF with respect to the benefits of owning CI First security.