Ether Etf Cad Etf Market Value
| ETHR Etf | CAD 16.77 0.32 1.95% |
| Symbol | Ether |
Ether ETF '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 Ether ETF'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 Ether ETF.
| 11/22/2024 |
| 12/22/2024 |
If you would invest 0.00 in Ether ETF on November 22, 2024 and sell it all today you would earn a total of 0.00 from holding Ether ETF CAD or generate 0.0% return on investment in Ether ETF over 30 days. Ether ETF is related to or competes with 3iQ Bitcoin, Purpose Bitcoin, 3iQ CoinShares, and BetaPro SP. ETHER ETF is traded on Toronto Stock Exchange in Canada. More
Ether ETF 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 Ether ETF'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 Ether ETF CAD upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.62 | |||
| Information Ratio | 0.1469 | |||
| Maximum Drawdown | 23.58 | |||
| Value At Risk | (5.42) | |||
| Potential Upside | 8.72 |
Ether ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ether ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ether ETF's standard deviation. In reality, there are many statistical measures that can use Ether ETF historical prices to predict the future Ether ETF's volatility.| Risk Adjusted Performance | 0.1303 | |||
| Jensen Alpha | 0.6199 | |||
| Total Risk Alpha | 0.5466 | |||
| Sortino Ratio | 0.179 | |||
| Treynor Ratio | 0.2962 |
Ether ETF CAD Backtested Returns
Ether ETF appears to be somewhat reliable, given 3 months investment horizon. Ether ETF CAD secures Sharpe Ratio (or Efficiency) of 0.13, which denotes the etf had a 0.13% return per unit of risk over the last 3 months. By reviewing Ether ETF's technical indicators, you can evaluate if the expected return of 0.57% is justified by implied risk. Please utilize Ether ETF's Mean Deviation of 3.32, coefficient of variation of 648.6, and Downside Deviation of 3.62 to check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 2.26, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Ether ETF will likely underperform.
Auto-correlation | -0.58 |
Good reverse predictability
Ether ETF CAD has good reverse predictability. Overlapping area represents the amount of predictability between Ether ETF time series from 22nd of November 2024 to 7th of December 2024 and 7th of December 2024 to 22nd 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 Ether ETF CAD price movement. The serial correlation of -0.58 indicates that roughly 58.0% of current Ether ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.58 | |
| Spearman Rank Test | -0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 1.0 |
Ether ETF CAD lagged returns against current returns
Autocorrelation, which is Ether ETF 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 Ether ETF's etf expected returns. We can calculate the autocorrelation of Ether ETF returns to help us make a trade decision. For example, suppose you find that Ether ETF 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 |
Ether ETF 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 Ether ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ether ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ether ETF etf over time.
Current vs Lagged Prices |
| Timeline |
Ether ETF Lagged Returns
When evaluating Ether ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ether ETF etf have on its future price. Ether ETF 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, Ether ETF autocorrelation shows the relationship between Ether ETF etf current value and its past values and can show if there is a momentum factor associated with investing in Ether ETF CAD.
Regressed Prices |
| Timeline |
Pair Trading with Ether ETF
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 Ether ETF 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 Ether ETF will appreciate offsetting losses from the drop in the long position's value.Moving together with Ether Etf
| 0.96 | BTCQ | 3iQ Bitcoin ETF | PairCorr |
| 0.96 | BTCC | Purpose Bitcoin CAD | PairCorr |
| 1.0 | ETHQ | 3iQ CoinShares Ether | PairCorr |
Moving against Ether Etf
| 0.93 | HQD | BetaPro NASDAQ 100 | PairCorr |
| 0.89 | BITI | BetaPro Inverse Bitcoin | PairCorr |
| 0.89 | HIU | BetaPro SP 500 | PairCorr |
| 0.86 | HXD | BetaPro SPTSX 60 | PairCorr |
| 0.8 | HUV | BetaPro SP 500 | PairCorr |
The ability to find closely correlated positions to Ether ETF could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ether ETF 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 Ether ETF - 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 Ether ETF CAD to buy it.
The correlation of Ether ETF 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 Ether ETF moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ether ETF CAD 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 Ether ETF 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 Ether Etf
Ether ETF financial ratios help investors to determine whether Ether 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 Ether with respect to the benefits of owning Ether ETF security.