Ci High Interest Etf Market Value
| CSAV Etf | CAD 50.14 0.02 0.04% |
| Symbol | CSAV |
CI High '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 High'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 High.
| 04/27/2024 |
| 12/23/2024 |
If you would invest 0.00 in CI High on April 27, 2024 and sell it all today you would earn a total of 0.00 from holding CI High Interest or generate 0.0% return on investment in CI High over 240 days. CI High is related to or competes with GLOBAL X, IShares Premium, IShares Canadian, Altagas Cum, European Residential, RBC Discount, and IShares SPTSX. The First Asset ETFs investment objective is to maximize monthly income for unitholders while preserving capital and liquidity by investing primarily in high interest deposit accounts CI FIRST is traded on Toronto Stock Exchange in Canada. More
CI High 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 High'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 High Interest upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2029 | |||
| Information Ratio | (0.46) | |||
| Maximum Drawdown | 0.3788 | |||
| Value At Risk | (0.02) | |||
| Potential Upside | 0.04 |
CI High Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CI High's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CI High's standard deviation. In reality, there are many statistical measures that can use CI High historical prices to predict the future CI High's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.14) | |||
| Treynor Ratio | (1.11) |
CI High Interest Backtested Returns
As of now, CSAV Etf is very steady. CI High Interest retains Efficiency (Sharpe Ratio) of 0.0564, which signifies that the etf had a 0.0564% return per unit of price deviation over the last 3 months. We have found twenty-nine technical indicators for CI High, which you can use to evaluate the volatility of the entity. Please confirm CI High's Coefficient Of Variation of 1326.57, standard deviation of 0.0605, and Market Risk Adjusted Performance of (1.10) to double-check if the risk estimate we provide is consistent with the expected return of 0.0035%. The etf owns a Beta (Systematic Risk) of 0.0049, which signifies not very significant fluctuations relative to the market. As returns on the market increase, CI High's returns are expected to increase less than the market. However, during the bear market, the loss of holding CI High is expected to be smaller as well.
Auto-correlation | 0.08 |
Virtually no predictability
CI High Interest has virtually no predictability. Overlapping area represents the amount of predictability between CI High time series from 27th of April 2024 to 25th of August 2024 and 25th of August 2024 to 23rd of December 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 High Interest price movement. The serial correlation of 0.08 indicates that barely 8.0% of current CI High price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.08 | |
| Spearman Rank Test | 0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
CI High Interest lagged returns against current returns
Autocorrelation, which is CI High 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 High's etf expected returns. We can calculate the autocorrelation of CI High returns to help us make a trade decision. For example, suppose you find that CI High 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 High 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 High etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CI High etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CI High etf over time.
Current vs Lagged Prices |
| Timeline |
CI High Lagged Returns
When evaluating CI High's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CI High etf have on its future price. CI High 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 High autocorrelation shows the relationship between CI High etf current value and its past values and can show if there is a momentum factor associated with investing in CI High Interest.
Regressed Prices |
| Timeline |
Pair Trading with CI High
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 High 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 High will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to CI High 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 High 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 High - 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 High Interest to buy it.
The correlation of CI High 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 High moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CI High Interest 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 High 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 CSAV Etf
CI High financial ratios help investors to determine whether CSAV 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 CSAV with respect to the benefits of owning CI High security.