Ci Short Term Etf Market Value
| FGB Etf | CAD 18.28 0.02 0.11% |
| Symbol | FGB |
CI 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 CI 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 CI Short.
| 11/29/2023 |
| 11/23/2024 |
If you would invest 0.00 in CI Short on November 29, 2023 and sell it all today you would earn a total of 0.00 from holding CI Short Term or generate 0.0% return on investment in CI Short over 360 days. CI Short is related to or competes with CI Enhanced, CI Preferred, CI Global, and CI Investment. The First Asset Short Term Government Bond Index Class ETF has been designed to replicate, to the extent possible, the p... More
CI 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 CI 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 CI Short Term upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.87) | |||
| Maximum Drawdown | 0.8163 | |||
| Value At Risk | (0.22) | |||
| Potential Upside | 0.2179 |
CI Short Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CI Short's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CI Short's standard deviation. In reality, there are many statistical measures that can use CI Short historical prices to predict the future CI Short's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.04) | |||
| Treynor Ratio | 0.7544 |
CI Short Term Backtested Returns
CI Short Term retains Efficiency (Sharpe Ratio) of -0.0512, which signifies that the etf had a -0.0512% return per unit of price deviation over the last 3 months. CI Short exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm CI Short's Market Risk Adjusted Performance of 0.7644, variance of 0.0231, and Information Ratio of (0.87) to double-check the risk estimate we provide. The etf owns a Beta (Systematic Risk) of -0.0153, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning CI Short are expected to decrease at a much lower rate. During the bear market, CI Short is likely to outperform the market.
Auto-correlation | 0.71 |
Good predictability
CI Short Term has good predictability. Overlapping area represents the amount of predictability between CI Short time series from 29th of November 2023 to 27th of May 2024 and 27th 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 Short Term price movement. The serial correlation of 0.71 indicates that around 71.0% of current CI Short price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
CI Short Term lagged returns against current returns
Autocorrelation, which is CI 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 CI Short's etf expected returns. We can calculate the autocorrelation of CI Short returns to help us make a trade decision. For example, suppose you find that CI 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 |
CI 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 CI Short etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CI Short etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CI Short etf over time.
Current vs Lagged Prices |
| Timeline |
CI Short Lagged Returns
When evaluating CI Short's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CI Short etf have on its future price. CI 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, CI Short autocorrelation shows the relationship between CI Short etf current value and its past values and can show if there is a momentum factor associated with investing in CI Short Term.
Regressed Prices |
| Timeline |
Pair Trading with CI 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 CI 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 CI Short will appreciate offsetting losses from the drop in the long position's value.Moving together with FGB Etf
Moving against FGB Etf
The ability to find closely correlated positions to CI 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 CI 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 CI 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 CI Short Term to buy it.
The correlation of CI 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 CI Short moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CI Short Term 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 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.Other Information on Investing in FGB Etf
CI Short financial ratios help investors to determine whether FGB 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 FGB with respect to the benefits of owning CI Short security.