Ether Fund Market Value
| QETH-U Etf | 52.36 0.27 0.52% |
| Symbol | Ether |
Ether Fund '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 Fund'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 Fund.
| 11/23/2024 |
| 12/23/2024 |
If you would invest 0.00 in Ether Fund on November 23, 2024 and sell it all today you would earn a total of 0.00 from holding Ether Fund or generate 0.0% return on investment in Ether Fund over 30 days.
Ether Fund 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 Fund'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 Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 10.58 | |||
| Information Ratio | 0.067 | |||
| Maximum Drawdown | 69.44 | |||
| Value At Risk | (23.18) | |||
| Potential Upside | 34.52 |
Ether Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ether Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ether Fund's standard deviation. In reality, there are many statistical measures that can use Ether Fund historical prices to predict the future Ether Fund's volatility.| Risk Adjusted Performance | 0.0645 | |||
| Jensen Alpha | 0.864 | |||
| Total Risk Alpha | 0.5125 | |||
| Sortino Ratio | 0.0796 | |||
| Treynor Ratio | 39.29 |
Ether Fund Backtested Returns
Ether Fund is somewhat reliable given 3 months investment horizon. Ether Fund secures Sharpe Ratio (or Efficiency) of 0.0922, which denotes the etf had a 0.0922% return per unit of risk over the last 3 months. We were able to interpolate and analyze data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.15% are justified by taking the suggested risk. Use Ether Fund Coefficient Of Variation of 1437.29, downside deviation of 10.58, and Mean Deviation of 7.32 to evaluate company specific risk that cannot be diversified away. The etf shows a Beta (market volatility) of 0.022, which means not very significant fluctuations relative to the market. As returns on the market increase, Ether Fund's returns are expected to increase less than the market. However, during the bear market, the loss of holding Ether Fund is expected to be smaller as well.
Auto-correlation | -0.38 |
Poor reverse predictability
Ether Fund has poor reverse predictability. Overlapping area represents the amount of predictability between Ether Fund time series from 23rd of November 2024 to 8th of December 2024 and 8th of December 2024 to 23rd 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 Fund price movement. The serial correlation of -0.38 indicates that just about 38.0% of current Ether Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.38 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 10.64 |
Ether Fund lagged returns against current returns
Autocorrelation, which is Ether Fund 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 Fund's etf expected returns. We can calculate the autocorrelation of Ether Fund returns to help us make a trade decision. For example, suppose you find that Ether Fund 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 Fund 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 Fund etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ether Fund etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ether Fund etf over time.
Current vs Lagged Prices |
| Timeline |
Ether Fund Lagged Returns
When evaluating Ether Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ether Fund etf have on its future price. Ether Fund 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 Fund autocorrelation shows the relationship between Ether Fund etf current value and its past values and can show if there is a momentum factor associated with investing in Ether Fund.
Regressed Prices |
| Timeline |
Pair Trading with Ether Fund
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 Fund 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 Fund will appreciate offsetting losses from the drop in the long position's value.Moving together with Ether Etf
The ability to find closely correlated positions to Ether Fund 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 Fund 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 Fund - 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 Fund to buy it.
The correlation of Ether Fund 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 Fund moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ether Fund 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 Fund 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.