Ci Health Care Etf Market Value
| FHI Etf | CAD 9.96 0.05 0.50% |
| Symbol | FHI |
CI Health '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 Health'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 Health.
| 04/22/2025 |
| 07/21/2025 |
If you would invest 0.00 in CI Health on April 22, 2025 and sell it all today you would earn a total of 0.00 from holding CI Health Care or generate 0.0% return on investment in CI Health over 90 days. CI Health is related to or competes with CI Canada, First Asset, CI Gold, First Asset, and Harvest Equal. The First Asset ETFs investment objectives are to provide holders, through an actively managed portfolio, with regular c... More
CI Health 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 Health'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 Health Care upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 4.3 | |||
| Value At Risk | (1.78) | |||
| Potential Upside | 1.3 |
CI Health Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CI Health's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CI Health's standard deviation. In reality, there are many statistical measures that can use CI Health historical prices to predict the future CI Health's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.17) | |||
| Treynor Ratio | (0.75) |
CI Health Care Backtested Returns
CI Health Care retains Efficiency (Sharpe Ratio) of close to zero, which signifies that the etf had a close to zero % return per unit of price deviation over the last 3 months. CI Health exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm CI Health's Variance of 0.8648, information ratio of (0.19), and Market Risk Adjusted Performance of (0.74) to double-check the risk estimate we provide. The etf owns a Beta (Systematic Risk) of 0.0592, which signifies not very significant fluctuations relative to the market. As returns on the market increase, CI Health's returns are expected to increase less than the market. However, during the bear market, the loss of holding CI Health is expected to be smaller as well.
Auto-correlation | -0.24 |
Weak reverse predictability
CI Health Care has weak reverse predictability. Overlapping area represents the amount of predictability between CI Health time series from 22nd of April 2025 to 6th of June 2025 and 6th of June 2025 to 21st of July 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 Health Care price movement. The serial correlation of -0.24 indicates that over 24.0% of current CI Health price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.24 | |
| Spearman Rank Test | -0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
CI Health Care lagged returns against current returns
Autocorrelation, which is CI Health 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 Health's etf expected returns. We can calculate the autocorrelation of CI Health returns to help us make a trade decision. For example, suppose you find that CI Health 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 Health 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 Health etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CI Health etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CI Health etf over time.
Current vs Lagged Prices |
| Timeline |
CI Health Lagged Returns
When evaluating CI Health's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CI Health etf have on its future price. CI Health 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 Health autocorrelation shows the relationship between CI Health etf current value and its past values and can show if there is a momentum factor associated with investing in CI Health Care.
Regressed Prices |
| Timeline |
Pair Trading with CI Health
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 Health 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 Health will appreciate offsetting losses from the drop in the long position's value.Moving together with FHI Etf
The ability to find closely correlated positions to CI Health 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 Health 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 Health - 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 Health Care to buy it.
The correlation of CI Health 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 Health moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CI Health Care 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 Health 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 FHI Etf
CI Health financial ratios help investors to determine whether FHI 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 FHI with respect to the benefits of owning CI Health security.