Ci Yield Enhanced Etf Market Value
CAGG Etf | CAD 45.31 0.02 0.04% |
Symbol | CAGG |
CI Yield '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 Yield'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 Yield.
10/13/2024 |
| 12/12/2024 |
If you would invest 0.00 in CI Yield on October 13, 2024 and sell it all today you would earn a total of 0.00 from holding CI Yield Enhanced or generate 0.0% return on investment in CI Yield over 60 days. CI Yield is related to or competes with IShares Core, IShares Core, IShares Canadian, IShares Canadian, and IShares Canadian. Each WisdomTree ETF seeks to track, to the extent possible, the price and yield performance of the applicable Index, bef... More
CI Yield 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 Yield'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 Yield Enhanced upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.321 | |||
Information Ratio | (0.30) | |||
Maximum Drawdown | 1.53 | |||
Value At Risk | (0.49) | |||
Potential Upside | 0.6367 |
CI Yield Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CI Yield's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CI Yield's standard deviation. In reality, there are many statistical measures that can use CI Yield historical prices to predict the future CI Yield's volatility.Risk Adjusted Performance | 0.0369 | |||
Jensen Alpha | 0.014 | |||
Total Risk Alpha | (0.04) | |||
Sortino Ratio | (0.32) | |||
Treynor Ratio | (1.27) |
CI Yield Enhanced Backtested Returns
As of now, CAGG Etf is very steady. CI Yield Enhanced retains Efficiency (Sharpe Ratio) of 0.047, which signifies that the etf had a 0.047% return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for CI Yield, which you can use to evaluate the volatility of the entity. Please confirm CI Yield's Market Risk Adjusted Performance of (1.26), standard deviation of 0.3443, and Coefficient Of Variation of 1508.25 to double-check if the risk estimate we provide is consistent with the expected return of 0.0165%. The etf owns a Beta (Systematic Risk) of -0.0101, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning CI Yield are expected to decrease at a much lower rate. During the bear market, CI Yield is likely to outperform the market.
Auto-correlation | 0.59 |
Modest predictability
CI Yield Enhanced has modest predictability. Overlapping area represents the amount of predictability between CI Yield time series from 13th of October 2024 to 12th of November 2024 and 12th of November 2024 to 12th 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 Yield Enhanced price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current CI Yield price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.59 | |
Spearman Rank Test | 0.4 | |
Residual Average | 0.0 | |
Price Variance | 0.21 |
CI Yield Enhanced lagged returns against current returns
Autocorrelation, which is CI Yield 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 Yield's etf expected returns. We can calculate the autocorrelation of CI Yield returns to help us make a trade decision. For example, suppose you find that CI Yield 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 Yield 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 Yield etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CI Yield etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CI Yield etf over time.
Current vs Lagged Prices |
Timeline |
CI Yield Lagged Returns
When evaluating CI Yield's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CI Yield etf have on its future price. CI Yield 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 Yield autocorrelation shows the relationship between CI Yield etf current value and its past values and can show if there is a momentum factor associated with investing in CI Yield Enhanced.
Regressed Prices |
Timeline |
Pair Trading with CI Yield
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 Yield 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 Yield will appreciate offsetting losses from the drop in the long position's value.Moving together with CAGG Etf
0.85 | ZAG | BMO Aggregate Bond | PairCorr |
0.84 | XBB | iShares Canadian Universe | PairCorr |
0.86 | ZCPB | BMO Core Plus | PairCorr |
0.85 | ZDB | BMO Discount Bond | PairCorr |
0.84 | XGB | iShares Canadian Gov | PairCorr |
The ability to find closely correlated positions to CI Yield 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 Yield 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 Yield - 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 Yield Enhanced to buy it.
The correlation of CI Yield 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 Yield moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CI Yield Enhanced 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 Yield 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 CAGG Etf
CI Yield financial ratios help investors to determine whether CAGG 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 CAGG with respect to the benefits of owning CI Yield security.