Ci Europe Hedged Etf Market Value
| EHE Etf | CAD 30.96 0.04 0.13% |
| Symbol | EHE |
CI Europe '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 Europe'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 Europe.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in CI Europe on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding CI Europe Hedged or generate 0.0% return on investment in CI Europe over 30 days. CI Europe is related to or competes with NBI High, NBI Unconstrained, Mackenzie Developed, BMO Short, BMO Canadian, and Guardian Directed. The ETF seeks to track, to the extent possible, the price and yield performance of the WisdomTree Europe CAD-Hedged Equi... More
CI Europe 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 Europe'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 Europe Hedged upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 4.72 | |||
| Value At Risk | (1.27) | |||
| Potential Upside | 1.26 |
CI Europe Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CI Europe's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CI Europe's standard deviation. In reality, there are many statistical measures that can use CI Europe historical prices to predict the future CI Europe's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | (0.85) |
CI Europe Hedged Backtested Returns
CI Europe Hedged retains Efficiency (Sharpe Ratio) of -0.0919, which signifies that the etf had a -0.0919% return per unit of price deviation over the last 3 months. CI Europe exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm CI Europe's Market Risk Adjusted Performance of (0.84), variance of 0.73, and Information Ratio of (0.22) to double-check the risk estimate we provide. The etf owns a Beta (Systematic Risk) of 0.0727, which signifies not very significant fluctuations relative to the market. As returns on the market increase, CI Europe's returns are expected to increase less than the market. However, during the bear market, the loss of holding CI Europe is expected to be smaller as well.
Auto-correlation | 0.39 |
Below average predictability
CI Europe Hedged has below average predictability. Overlapping area represents the amount of predictability between CI Europe time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 Europe Hedged price movement. The serial correlation of 0.39 indicates that just about 39.0% of current CI Europe price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.39 | |
| Spearman Rank Test | -0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
CI Europe Hedged lagged returns against current returns
Autocorrelation, which is CI Europe 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 Europe's etf expected returns. We can calculate the autocorrelation of CI Europe returns to help us make a trade decision. For example, suppose you find that CI Europe 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 Europe 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 Europe etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CI Europe etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CI Europe etf over time.
Current vs Lagged Prices |
| Timeline |
CI Europe Lagged Returns
When evaluating CI Europe's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CI Europe etf have on its future price. CI Europe 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 Europe autocorrelation shows the relationship between CI Europe etf current value and its past values and can show if there is a momentum factor associated with investing in CI Europe Hedged.
Regressed Prices |
| Timeline |
Pair Trading with CI Europe
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 Europe 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 Europe will appreciate offsetting losses from the drop in the long position's value.Moving together with EHE Etf
| 0.7 | ZWP | BMO Europe High | PairCorr |
| 0.73 | ZWE | BMO Europe High | PairCorr |
| 0.68 | XEU | iShares MSCI Europe | PairCorr |
| 0.74 | ZEQ | BMO MSCI Europe | PairCorr |
| 0.68 | VE | Vanguard FTSE Developed | PairCorr |
Moving against EHE Etf
The ability to find closely correlated positions to CI Europe 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 Europe 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 Europe - 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 Europe Hedged to buy it.
The correlation of CI Europe 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 Europe moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CI Europe Hedged 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 Europe 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 EHE Etf
CI Europe financial ratios help investors to determine whether EHE 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 EHE with respect to the benefits of owning CI Europe security.