Ci Marret Alternative Etf Market Value
| CMAR Etf | CAD 18.07 0.01 0.06% |
| Symbol | CMAR |
Please note, there is a significant difference between CI Marret's value and its price as these two are different measures arrived at by different means. Investors typically determine if CI Marret is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, CI Marret's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
CI Marret '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 Marret'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 Marret.
| 10/30/2023 |
| 11/23/2024 |
If you would invest 0.00 in CI Marret on October 30, 2023 and sell it all today you would earn a total of 0.00 from holding CI Marret Alternative or generate 0.0% return on investment in CI Marret over 390 days. CI Marret is related to or competes with CI Munro, CI Enhanced, CI Enhanced, and CI Yield. CI MARRET is traded on Toronto Stock Exchange in Canada. More
CI Marret 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 Marret'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 Marret Alternative upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.67) | |||
| Maximum Drawdown | 1.05 | |||
| Value At Risk | (0.39) | |||
| Potential Upside | 0.33 |
CI Marret Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CI Marret's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CI Marret's standard deviation. In reality, there are many statistical measures that can use CI Marret historical prices to predict the future CI Marret's volatility.| Risk Adjusted Performance | (0.05) | |||
| Total Risk Alpha | (0.05) |
CI Marret Alternative Backtested Returns
CI Marret Alternative retains Efficiency (Sharpe Ratio) of -0.0213, which signifies that the etf had a -0.0213% return per unit of price deviation over the last 3 months. CI Marret exposes nineteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm CI Marret's Information Ratio of (0.67), mean deviation of 0.1502, and Total Risk Alpha of (0.05) to double-check the risk estimate we provide. The etf owns a Beta (Systematic Risk) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and CI Marret are completely uncorrelated.
Auto-correlation | 0.62 |
Good predictability
CI Marret Alternative has good predictability. Overlapping area represents the amount of predictability between CI Marret time series from 30th of October 2023 to 12th of May 2024 and 12th of May 2024 to 23rd 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 CI Marret Alternative price movement. The serial correlation of 0.62 indicates that roughly 62.0% of current CI Marret price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.62 | |
| Spearman Rank Test | 0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
CI Marret Alternative lagged returns against current returns
Autocorrelation, which is CI Marret 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 Marret's etf expected returns. We can calculate the autocorrelation of CI Marret returns to help us make a trade decision. For example, suppose you find that CI Marret 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 Marret 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 Marret etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CI Marret etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CI Marret etf over time.
Current vs Lagged Prices |
| Timeline |
CI Marret Lagged Returns
When evaluating CI Marret's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CI Marret etf have on its future price. CI Marret 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 Marret autocorrelation shows the relationship between CI Marret etf current value and its past values and can show if there is a momentum factor associated with investing in CI Marret Alternative.
Regressed Prices |
| Timeline |
Pair Trading with CI Marret
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 Marret 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 Marret will appreciate offsetting losses from the drop in the long position's value.Moving together with CMAR Etf
Moving against CMAR Etf
The ability to find closely correlated positions to CI Marret 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 Marret 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 Marret - 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 Marret Alternative to buy it.
The correlation of CI Marret 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 Marret moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CI Marret Alternative 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 Marret 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 CMAR Etf
CI Marret financial ratios help investors to determine whether CMAR 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 CMAR with respect to the benefits of owning CI Marret security.