Ether Etf Cad Etf Current Liabilities
| ETHR Etf | CAD 16.77 0.32 1.95% |
Ether ETF CAD fundamentals help investors to digest information that contributes to Ether ETF's financial success or failures. It also enables traders to predict the movement of Ether Etf. The fundamental analysis module provides a way to measure Ether ETF's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Ether ETF etf.
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Ether ETF CAD ETF Current Liabilities Analysis
Ether ETF's Current Liabilities is the company's short term debt. This usually includes obligations that are due within the next 12 months or within one fiscal year. Current liabilities are very important in analyzing a company's financial health as it requires the company to convert some of its current assets into cash.
Current liabilities appear on the company's balance sheet and include all short term debt accounts, accounts and notes payable, accrued liabilities as well as current payments due on the long-term loans. One of the most useful applications of Current Liabilities is the current ratio which is defined as current assets divided by its current liabilities. High current ratios mean that current assets are more than sufficient to pay off current liabilities.
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In accordance with the recently published financial statements, Ether ETF CAD has a Current Liabilities of 0.0. This indicator is about the same for the Evolve Funds Group Inc average (which is currently at 0.0) family and about the same as Alternative Other (which currently averages 0.0) category. This indicator is about the same for all Canada etfs average (which is currently at 0.0).
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| All Next | Launch Module |
Ether Fundamentals
| One Year Return | 65.80 % | |||
| Three Year Return | (2.80) % |
About Ether ETF Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Ether ETF CAD's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Ether ETF using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Ether ETF CAD based on its fundamental data. In general, a quantitative approach, as applied to this etf, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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
| 0.95 | BITI | BetaPro Inverse Bitcoin | PairCorr |
| 0.93 | HQD | BetaPro NASDAQ 100 | 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.