Grayscale Ethereum Covered Etf Market Value
| ETCO Etf | 19.45 0.02 0.10% |
| Symbol | Grayscale |
The market value of Grayscale Ethereum is measured differently than its book value, which is the value of Grayscale that is recorded on the company's balance sheet. Investors also form their own opinion of Grayscale Ethereum's value that differs from its market value or its book value, called intrinsic value, which is Grayscale Ethereum's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Grayscale Ethereum's market value can be influenced by many factors that don't directly affect Grayscale Ethereum's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Grayscale Ethereum's value and its price as these two are different measures arrived at by different means. Investors typically determine if Grayscale Ethereum is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Grayscale Ethereum's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Grayscale Ethereum '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 Grayscale Ethereum'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 Grayscale Ethereum.
| 06/28/2025 |
| 12/25/2025 |
If you would invest 0.00 in Grayscale Ethereum on June 28, 2025 and sell it all today you would earn a total of 0.00 from holding Grayscale Ethereum Covered or generate 0.0% return on investment in Grayscale Ethereum over 180 days. Grayscale Ethereum is related to or competes with KraneShares Trust, BlackRock Future, Franklin Exponential, ProShares Russell, PGIM Nasdaq, X Square, and GraniteShares. More
Grayscale Ethereum 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 Grayscale Ethereum'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 Grayscale Ethereum Covered upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 15.29 | |||
| Value At Risk | (5.60) | |||
| Potential Upside | 4.87 |
Grayscale Ethereum Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Grayscale Ethereum's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Grayscale Ethereum's standard deviation. In reality, there are many statistical measures that can use Grayscale Ethereum historical prices to predict the future Grayscale Ethereum's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.51) | |||
| Total Risk Alpha | (0.71) | |||
| Treynor Ratio | (0.14) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Grayscale Ethereum's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Grayscale Ethereum Backtested Returns
Grayscale Ethereum holds Efficiency (Sharpe) Ratio of -0.0884, which attests that the entity had a -0.0884 % return per unit of standard deviation over the last 3 months. Grayscale Ethereum exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Grayscale Ethereum's risk adjusted performance of (0.06), and Market Risk Adjusted Performance of (0.13) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 2.42, which attests to 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, Grayscale Ethereum will likely underperform.
Auto-correlation | 0.56 |
Modest predictability
Grayscale Ethereum Covered has modest predictability. Overlapping area represents the amount of predictability between Grayscale Ethereum time series from 28th of June 2025 to 26th of September 2025 and 26th of September 2025 to 25th of December 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 Grayscale Ethereum price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current Grayscale Ethereum price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | 0.49 | |
| Residual Average | 0.0 | |
| Price Variance | 1.37 |
Grayscale Ethereum lagged returns against current returns
Autocorrelation, which is Grayscale Ethereum 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 Grayscale Ethereum's etf expected returns. We can calculate the autocorrelation of Grayscale Ethereum returns to help us make a trade decision. For example, suppose you find that Grayscale Ethereum 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 |
Grayscale Ethereum 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 Grayscale Ethereum etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Grayscale Ethereum etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Grayscale Ethereum etf over time.
Current vs Lagged Prices |
| Timeline |
Grayscale Ethereum Lagged Returns
When evaluating Grayscale Ethereum's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Grayscale Ethereum etf have on its future price. Grayscale Ethereum 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, Grayscale Ethereum autocorrelation shows the relationship between Grayscale Ethereum etf current value and its past values and can show if there is a momentum factor associated with investing in Grayscale Ethereum Covered.
Regressed Prices |
| Timeline |
Pair Trading with Grayscale Ethereum
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 Grayscale Ethereum 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 Grayscale Ethereum will appreciate offsetting losses from the drop in the long position's value.Moving together with Grayscale Etf
| 0.9 | GBTC | Grayscale Bitcoin Trust | PairCorr |
| 0.96 | BITO | ProShares Bitcoin | PairCorr |
| 0.9 | BTC | Grayscale Bitcoin Mini | PairCorr |
Moving against Grayscale Etf
| 0.69 | FROG | Jfrog | PairCorr |
| 0.49 | FTBI | First Trust Exchange | PairCorr |
| 0.48 | AMPD | Tidal ETF Services | PairCorr |
| 0.39 | MYCL | SPDR SSGA My2032 | PairCorr |
| 0.38 | GBUG | Sprott Active Gold | PairCorr |
The ability to find closely correlated positions to Grayscale Ethereum could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Grayscale Ethereum 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 Grayscale Ethereum - 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 Grayscale Ethereum Covered to buy it.
The correlation of Grayscale Ethereum 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 Grayscale Ethereum moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Grayscale Ethereum 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 Grayscale Ethereum 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.Check out Grayscale Ethereum Correlation, Grayscale Ethereum Volatility and Grayscale Ethereum Alpha and Beta module to complement your research on Grayscale Ethereum. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Grayscale Ethereum technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.