Volatility Shares Trust Etf Market Value
| ETHU Etf | 10.05 1.59 18.79% |
| Symbol | Volatility |
The market value of Volatility Shares Trust is measured differently than its book value, which is the value of Volatility that is recorded on the company's balance sheet. Investors also form their own opinion of Volatility Shares' value that differs from its market value or its book value, called intrinsic value, which is Volatility Shares' 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 Volatility Shares' market value can be influenced by many factors that don't directly affect Volatility Shares' 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 Volatility Shares' value and its price as these two are different measures arrived at by different means. Investors typically determine if Volatility Shares is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Volatility Shares' 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.
Volatility Shares '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 Volatility Shares' 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 Volatility Shares.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Volatility Shares on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Volatility Shares Trust or generate 0.0% return on investment in Volatility Shares over 30 days. Volatility Shares is related to or competes with Grayscale Bitcoin, ProShares Bitcoin, Amplify Transformational, Siren Nasdaq, Bitwise Crypto, Grayscale Bitcoin, and First Trust. Volatility Shares is entity of United States More
Volatility Shares 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 Volatility Shares' 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 Volatility Shares Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.5 | |||
| Information Ratio | 0.0744 | |||
| Maximum Drawdown | 36.37 | |||
| Value At Risk | (10.67) | |||
| Potential Upside | 15.7 |
Volatility Shares Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Volatility Shares' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Volatility Shares' standard deviation. In reality, there are many statistical measures that can use Volatility Shares historical prices to predict the future Volatility Shares' volatility.| Risk Adjusted Performance | 0.0779 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.57) | |||
| Sortino Ratio | 0.0953 | |||
| Treynor Ratio | 0.1163 |
Volatility Shares Trust Backtested Returns
Volatility Shares is unstable given 3 months investment horizon. Volatility Shares Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.15, which indicates the etf had a 0.15% return per unit of risk over the last 3 months. We have analyze and collected data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.3% are justified by taking the suggested risk. Use Volatility Shares Trust Coefficient Of Variation of 1110.81, risk adjusted performance of 0.0779, and Semi Deviation of 6.15 to evaluate company specific risk that cannot be diversified away. The entity has a beta of 6.36, which indicates 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, Volatility Shares will likely underperform.
Auto-correlation | 0.75 |
Good predictability
Volatility Shares Trust has good predictability. Overlapping area represents the amount of predictability between Volatility Shares time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 Volatility Shares Trust price movement. The serial correlation of 0.75 indicates that around 75.0% of current Volatility Shares price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.75 | |
| Spearman Rank Test | 0.84 | |
| Residual Average | 0.0 | |
| Price Variance | 0.7 |
Volatility Shares Trust lagged returns against current returns
Autocorrelation, which is Volatility Shares 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 Volatility Shares' etf expected returns. We can calculate the autocorrelation of Volatility Shares returns to help us make a trade decision. For example, suppose you find that Volatility Shares 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 |
Volatility Shares 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 Volatility Shares etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Volatility Shares etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Volatility Shares etf over time.
Current vs Lagged Prices |
| Timeline |
Volatility Shares Lagged Returns
When evaluating Volatility Shares' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Volatility Shares etf have on its future price. Volatility Shares 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, Volatility Shares autocorrelation shows the relationship between Volatility Shares etf current value and its past values and can show if there is a momentum factor associated with investing in Volatility Shares Trust.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Other Information on Investing in Volatility Etf
Volatility Shares financial ratios help investors to determine whether Volatility 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 Volatility with respect to the benefits of owning Volatility Shares security.